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anomaly_explicit/template0/item0
GIFT synthesize
anomaly
D
45.104,79.022,108.380,130.293,349.321,558.734,758.739,950.305,1134.104,1311.993,1487.250,1661.686,1632.464,1607.898,1590.064,1344.266,1112.177,899.515,709.815,546.336,410.910,304.957,228.124,180.906,161.755,186.750,204.405,211.847,210.322,199.754,181.145,155.469,125.881,94.922,64.674,37.938,17.032,3.750,0.000,5.167,19.710,42.721,72.445,107.101,143.529,179.847,213.078,240.783,261.322,272.925,275.457,268.052,252.399,229.542,201.278,170.548,139.593,111.322,87.949,71.523,63.278,64.584,75.658,94.827,121.851,154.264,190.013,226.625,260.826,290.835,314.003,329.260,335.220,427.572,148.605,387.783,219.602,548.669,123.435,460.280,241.474,464.064,679.559,500.189,710.574,869.328,985.116,1010.289,1556.433,1466.911,2040.045,2242.954,2268.545,2129.057,1981.546,1827.236,1666.784,1502.243,1336.196,1171.494,1012.456,861.111,722.210,597.396,490.346,402.934,335.914,289.969,265.354,260.163,273.003,308.037,343.290,375.824,404.092,425.240,438.063,441.988,436.512,422.706,401.084,374.322,344.268,313.215,284.356,259.517,241.076,231.206,229.303,237.256,253.609,277.697,307.739,341.404,376.012,409.731,439.519,463.372,479.169,486.462,485.026,473.855,455.588,430.521,401.333,370.526,340.438,313.735,292.573,278.284,272.846,276.658,289.070,309.891,336.781,368.826
2025-10-10 00:00:00
2026-03-14 00:00:00
402.873,436.584,467.769,493.818,512.793,523.240,524.807,517.773,501.788,479.120,451.661,420.819,390.106,361.369,337.711,320.128,311.013,310.448,318.996,336.027,360.150,390.035,422.790,456.281,488.259,516.004,537.864,551.647,556.554,552.514,539.779,519.717,493.478,463.748,432.535,402.473,375.970,355.366,342.552,337.904,342.326,355.552,376.539,403.847,435.209,468.396,500.887,530.050,553.980,570.941,578.880,578.606,569.246,551.312,527.356,498.452,466.873,436.022,407.569,384.061,367.219,358.581,358.693,368.351,385.453,409.908,439.908,471.934,504.750,535.440,561.471,581.078,592.400,595.254,588.953,573.926,552.215,524.217,493.266,461.362,431.087,404.651,384.718,371.819,368.214,373.477,387.328,408.855,435.995,467.416,500.078,531.305,559.355,581.506,596.076,601.901,599.020,587.058,567.843,541.258
2026-03-15 00:00:00
2026-06-22 00:00:00
,
100
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-10-12 00:00:00 to 2025-11-03 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2025-12-21 00:00:00 to 2026-01-28 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
<history>45.104,79.022,108.380,130.293,349.321,558.734,758.739,950.305,1134.104,1311.993,1487.250,1661.686,1632.464,1607.898,1590.064,1344.266,1112.177,899.515,709.815,546.336,410.910,304.957,228.124,180.906,161.755,186.750,204.405,211.847,210.322,199.754,181.145,155.469,125.881,94.922,64.674,37.938,17.032,3.750,0.000,5.167,19.710,42.721,72.445,107.101,143.529,179.847,213.078,240.783,261.322,272.925,275.457,268.052,252.399,229.542,201.278,170.548,139.593,111.322,87.949,71.523,63.278,64.584,75.658,94.827,121.851,154.264,190.013,226.625,260.826,290.835,314.003,329.260,335.220,427.572,148.605,387.783,219.602,548.669,123.435,460.280,241.474,464.064,679.559,500.189,710.574,869.328,985.116,1010.289,1556.433,1466.911,2040.045,2242.954,2268.545,2129.057,1981.546,1827.236,1666.784,1502.243,1336.196,1171.494,1012.456,861.111,722.210,597.396,490.346,402.934,335.914,289.969,265.354,260.163,273.003,308.037,343.290,375.824,404.092,425.240,438.063,441.988,436.512,422.706,401.084,374.322,344.268,313.215,284.356,259.517,241.076,231.206,229.303,237.256,253.609,277.697,307.739,341.404,376.012,409.731,439.519,463.372,479.169,486.462,485.026,473.855,455.588,430.521,401.333,370.526,340.438,313.735,292.573,278.284,272.846,276.658,289.070,309.891,336.781,368.826</history> This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-10-12 00:00:00 to 2025-11-03 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2025-12-21 00:00:00 to 2026-01-28 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal. Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_explicit/template1/item0
GIFT synthesize
anomaly
D
46.772,99.481,164.879,238.480,316.446,395.768,470.917,538.994,596.387,639.657,664.900,674.772,663.466,636.520,593.470,536.605,467.878,392.910,314.391,238.260,165.277,103.903,52.939,18.215,0.000,0.491,19.617,54.671,104.645,168.635,241.853,320.678,400.364,477.662,548.539,608.676,655.085,685.787,461.035,460.935,530.947,623.250,579.179,326.294,261.821,616.636,192.082,718.514,153.847,781.140,801.142,295.323,359.730,899.933,780.651,1308.204,1228.571,1365.758,1758.350,1838.820,1916.323,1787.794,1654.223,1513.372,1371.133,1226.811,1082.367,943.700,811.192,691.172,586.964,517.199,442.568,367.587,296.509,232.720,180.658,141.816,119.329,114.643,128.593,159.962,207.323,266.653,338.777,415.385,497.090,577.025,650.717,717.258,771.661,809.647,831.515,836.448,822.123,791.947,745.016,687.703,622.182,549.638,474.901,405.319,341.403,287.887,248.115,223.726,216.382,227.767,256.601,301.166,360.490,431.140,507.593,588.582,670.766,747.340,815.931,872.785,916.296,940.623,950.644,941.300,914.818,873.029,819.966,755.497,684.493,614.010,543.195,1607.356,1552.724,1447.065,1363.119,1305.731,1275.252,1270.957,1291.578,1335.811,1404.567,1482.815,1564.003,1645.930,1725.834,1796.119,1857.365,1903.129,1934.544,1947.196,1943.397,1922.595,1884.342,1832.940,1770.987,1703.894,1633.822,1564.025
2025-10-10 00:00:00
2026-03-14 00:00:00
1499.326,1442.447,1400.282,1372.734,1360.509,1367.624,1390.619,1431.066,1487.617,1555.376,1633.062,1714.711,1798.462,1879.529,1953.418,2017.664,2069.097,2103.539,2121.425,2120.529,2104.092,2070.618,2022.609,1964.755,1899.697,1828.783,1758.949,1694.447,1637.019,1592.951,1562.462,1548.716,1552.564,1574.543,1612.220,1666.565,1734.126,1810.737,1893.402,1980.014,2062.071,2139.740,2206.544,2262.221,2301.961,2323.856,2328.359,2315.583,2285.946,2241.778,2186.920,2121.814,2054.377,1983.763,1919.039,1861.478,1814.249,1781.895,1764.944,1767.514,1786.654,1823.118,1875.430,1941.742,2018.344,2102.742,2189.280,2275.065,2354.867,2426.635,2485.194,2528.821,2556.392,2563.739,2556.305,2530.357,2490.050,2437.150,2375.438,2307.426,2237.831,2173.387,2113.418,2066.004,2030.567,2012.535,2011.836,2027.555,2061.624,2113.266,2179.380,2255.389,2339.617,2427.567,2515.704,2598.947,2673.624,2737.111,2784.925,2816.498
2026-03-15 00:00:00
2026-06-22 00:00:00
,
100
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-11-16 00:00:00 to 2025-12-19 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-02-14 00:00:00 to 2026-02-16 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
<history>46.772,99.481,164.879,238.480,316.446,395.768,470.917,538.994,596.387,639.657,664.900,674.772,663.466,636.520,593.470,536.605,467.878,392.910,314.391,238.260,165.277,103.903,52.939,18.215,0.000,0.491,19.617,54.671,104.645,168.635,241.853,320.678,400.364,477.662,548.539,608.676,655.085,685.787,461.035,460.935,530.947,623.250,579.179,326.294,261.821,616.636,192.082,718.514,153.847,781.140,801.142,295.323,359.730,899.933,780.651,1308.204,1228.571,1365.758,1758.350,1838.820,1916.323,1787.794,1654.223,1513.372,1371.133,1226.811,1082.367,943.700,811.192,691.172,586.964,517.199,442.568,367.587,296.509,232.720,180.658,141.816,119.329,114.643,128.593,159.962,207.323,266.653,338.777,415.385,497.090,577.025,650.717,717.258,771.661,809.647,831.515,836.448,822.123,791.947,745.016,687.703,622.182,549.638,474.901,405.319,341.403,287.887,248.115,223.726,216.382,227.767,256.601,301.166,360.490,431.140,507.593,588.582,670.766,747.340,815.931,872.785,916.296,940.623,950.644,941.300,914.818,873.029,819.966,755.497,684.493,614.010,543.195,1607.356,1552.724,1447.065,1363.119,1305.731,1275.252,1270.957,1291.578,1335.811,1404.567,1482.815,1564.003,1645.930,1725.834,1796.119,1857.365,1903.129,1934.544,1947.196,1943.397,1922.595,1884.342,1832.940,1770.987,1703.894,1633.822,1564.025</history> This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-11-16 00:00:00 to 2025-12-19 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-02-14 00:00:00 to 2026-02-16 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal. Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_explicit/template2/item0
GIFT synthesize
anomaly
D
0.000,4.764,9.816,347.463,352.129,357.037,361.771,366.596,371.127,42.951,47.887,52.604,57.297,61.968,66.791,71.599,76.038,81.062,85.932,90.727,95.615,100.096,104.990,109.651,114.286,119.451,124.063,128.492,133.504,471.437,476.085,480.917,485.670,490.408,495.209,166.946,171.702,176.499,181.160,186.039,190.568,195.340,200.360,205.188,209.772,214.651,219.168,224.056,228.809,233.527,238.120,243.004,247.939,252.558,257.528,262.077,599.774,604.646,609.484,614.296,618.950,290.881,295.626,373.924,449.234,522.210,592.337,659.526,724.044,785.339,844.299,900.619,953.884,1004.489,1052.221,1097.435,1139.537,1178.929,1215.641,1249.463,1280.841,1308.951,1667.499,1690.367,1710.698,1728.032,1742.387,1420.913,1429.788,1434.523,1439.274,1321.720,1205.636,1092.382,983.094,879.674,783.056,694.017,614.564,544.819,485.867,438.516,403.292,380.357,376.291,372.880,368.989,365.504,694.689,690.828,687.221,683.481,679.755,342.891,339.405,335.463,331.480,327.889,324.499,320.673,316.736,313.016,308.965,305.498,301.864,297.979,294.264,290.636,286.926,282.732,279.264,275.543,271.956,268.142,1054.630,1050.770,1004.334,969.036,965.243,628.574,624.802,620.824,617.255,613.470,609.659,605.982,602.326,598.516,594.572,591.178,587.126,583.558,579.887,575.827,572.362,568.633,565.061,561.007,557.280,553.368,883.174,879.269,875.447,871.738,867.990,531.048,527.455,523.452,520.074,516.256,512.575,508.700,505.089,501.330,497.654,493.900,489.903,486.350,482.539,478.994,475.180,471.176,467.514,463.978,460.078,456.299,785.726,788.107,790.504,792.651,795.103,464.020,466.832,469.204,471.532,473.698,475.781,478.678,480.745,483.048,485.719,487.994,490.197,492.419,494.846,497.420,499.634,502.034,504.181,506.811,509.166,511.388,846.980,849.244,851.539,853.890,856.093,525.719,527.938,530.306,532.616,534.933,537.263,539.701,541.796,544.408,546.698,548.983,551.436,553.930,555.965,558.282,561.000,563.144,565.579,567.966,570.270,572.529,908.088,910.462,912.743,915.258,917.487,586.674,589.088,591.462,593.769,596.190,598.451,601.254,603.313,605.490,607.719,610.291,612.619,615.153,617.365,619.625,622.252,624.485,626.756,629.219,631.268,633.794,969.375,971.546,974.121,976.547,978.748,647.925,650.389,652.639,655.057,657.363,659.779,661.993,664.430,666.850,668.971,671.535,673.813,676.341,678.596,680.872,683.375,685.492,688.155,690.590,686.979,683.721,1013.321,1009.990,1006.759,1003.496,1000.009,663.709,660.243,657.069,653.733,650.529,647.204,643.994,640.358,637.101,633.801,630.365,627.094,623.694,620.302,617.165,613.784,610.341,607.135,603.878,600.424,597.239,926.667,923.363,920.366,916.927,913.533,910.153,573.869,570.449
2025-10-10 00:00:00
2026-08-29 00:00:00
567.330,563.851,560.510,557.218,553.930,550.381,547.282,544.045,540.575,537.263,533.990,530.680,527.374,523.913,520.628,517.192,513.912,510.718,840.694,836.994,833.730,830.488,827.130,823.966,487.302,483.954,480.738,477.371,473.923,470.542,467.508,464.291,460.522,457.616,453.955,450.759,447.493,443.993,440.871,437.349,434.172,430.771,427.337,424.290,753.902,750.514,747.341,743.904,740.594,737.360,400.962,397.408,394.433,391.040,387.787,384.382,381.067,377.462,374.274,370.865
2026-08-30 00:00:00
2026-10-28 00:00:00
,
60
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-12-10 00:00:00 to 2026-01-21 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-02-19 00:00:00 to 2026-02-21 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
<history>0.000,4.764,9.816,347.463,352.129,357.037,361.771,366.596,371.127,42.951,47.887,52.604,57.297,61.968,66.791,71.599,76.038,81.062,85.932,90.727,95.615,100.096,104.990,109.651,114.286,119.451,124.063,128.492,133.504,471.437,476.085,480.917,485.670,490.408,495.209,166.946,171.702,176.499,181.160,186.039,190.568,195.340,200.360,205.188,209.772,214.651,219.168,224.056,228.809,233.527,238.120,243.004,247.939,252.558,257.528,262.077,599.774,604.646,609.484,614.296,618.950,290.881,295.626,373.924,449.234,522.210,592.337,659.526,724.044,785.339,844.299,900.619,953.884,1004.489,1052.221,1097.435,1139.537,1178.929,1215.641,1249.463,1280.841,1308.951,1667.499,1690.367,1710.698,1728.032,1742.387,1420.913,1429.788,1434.523,1439.274,1321.720,1205.636,1092.382,983.094,879.674,783.056,694.017,614.564,544.819,485.867,438.516,403.292,380.357,376.291,372.880,368.989,365.504,694.689,690.828,687.221,683.481,679.755,342.891,339.405,335.463,331.480,327.889,324.499,320.673,316.736,313.016,308.965,305.498,301.864,297.979,294.264,290.636,286.926,282.732,279.264,275.543,271.956,268.142,1054.630,1050.770,1004.334,969.036,965.243,628.574,624.802,620.824,617.255,613.470,609.659,605.982,602.326,598.516,594.572,591.178,587.126,583.558,579.887,575.827,572.362,568.633,565.061,561.007,557.280,553.368,883.174,879.269,875.447,871.738,867.990,531.048,527.455,523.452,520.074,516.256,512.575,508.700,505.089,501.330,497.654,493.900,489.903,486.350,482.539,478.994,475.180,471.176,467.514,463.978,460.078,456.299,785.726,788.107,790.504,792.651,795.103,464.020,466.832,469.204,471.532,473.698,475.781,478.678,480.745,483.048,485.719,487.994,490.197,492.419,494.846,497.420,499.634,502.034,504.181,506.811,509.166,511.388,846.980,849.244,851.539,853.890,856.093,525.719,527.938,530.306,532.616,534.933,537.263,539.701,541.796,544.408,546.698,548.983,551.436,553.930,555.965,558.282,561.000,563.144,565.579,567.966,570.270,572.529,908.088,910.462,912.743,915.258,917.487,586.674,589.088,591.462,593.769,596.190,598.451,601.254,603.313,605.490,607.719,610.291,612.619,615.153,617.365,619.625,622.252,624.485,626.756,629.219,631.268,633.794,969.375,971.546,974.121,976.547,978.748,647.925,650.389,652.639,655.057,657.363,659.779,661.993,664.430,666.850,668.971,671.535,673.813,676.341,678.596,680.872,683.375,685.492,688.155,690.590,686.979,683.721,1013.321,1009.990,1006.759,1003.496,1000.009,663.709,660.243,657.069,653.733,650.529,647.204,643.994,640.358,637.101,633.801,630.365,627.094,623.694,620.302,617.165,613.784,610.341,607.135,603.878,600.424,597.239,926.667,923.363,920.366,916.927,913.533,910.153,573.869,570.449</history> This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-12-10 00:00:00 to 2026-01-21 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-02-19 00:00:00 to 2026-02-21 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal. Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_explicit/template3/item0
GIFT synthesize
anomaly
D
6944.088,6945.398,6946.665,6947.786,8104.850,8105.924,8107.217,8108.393,8109.475,6954.818,6955.899,6957.059,6958.090,6959.145,6960.220,6961.318,6962.292,6963.399,6964.440,6965.396,6966.335,6967.329,6968.318,6969.262,6970.308,6971.189,6972.053,6973.114,6973.924,6974.849,6975.773,6976.581,6977.520,6978.297,6979.155,7115.363,7251.616,7387.649,7523.967,7660.104,7796.286,7932.465,8068.527,8204.644,8340.745,8476.802,8613.061,8748.985,8749.740,8750.321,8751.081,9907.626,9784.653,9666.122,9552.150,9442.662,8181.917,8081.287,7985.313,7893.763,7806.638,7724.155,7646.014,7572.430,7503.298,7438.687,7378.489,7322.829,7271.657,7225.039,7182.850,7145.026,7111.906,7083.124,7058.910,7039.071,7023.883,7013.044,7006.724,7007.114,7007.577,7008.083,7008.482,7008.862,7009.282,7009.575,7010.011,7010.297,7010.790,7011.047,7011.458,7011.767,7012.230,7012.436,7012.727,7013.192,7013.432,7013.689,7014.055,8170.214,8170.431,8170.793,8171.009,8171.254,7015.784,7016.045,7016.268,7016.443,7016.732,7017.028,7017.190,7017.498,7017.564,7017.930,7018.171,7018.253,7018.526,7018.636,7018.957,7019.104,7019.214,7019.299,7019.539,7019.696,7019.871,7020.117,7020.280,7020.392,7020.433,7020.563,7020.780,7020.858,7021.009,7021.128,7021.275,7021.371,7021.483,7021.560,7021.609,7021.790,7021.814,7022.032,7022.001,7022.146,7022.319,7022.343,7022.258,8178.283,8178.395,8178.346,8178.436,8178.518,7022.851,7022.797,7022.851,7022.963,7022.964,7022.949,7023.117,7023.132,7023.231,7023.135,7023.292,7023.289,7023.236,7023.297,7023.385,7023.308,7023.450,7023.464,7023.226,7023.499,7023.440,7023.465,7023.417,7023.500,7023.439,7023.454,7023.408,7023.528,7023.477,7023.491,7023.542,7023.553,7023.573,7023.435,7023.534,7023.597,7023.518,7023.527,7023.456,7023.464,7023.568,7023.603,7023.510,8179.274,8178.953,8178.670,8178.340,8177.818,7021.554,7020.953,7020.200,7019.356,7057.555,7173.542,7367.166,7638.878,7988.147,8415.350,8920.421,9503.241,10163.869,10162.314,10160.683,10158.975,10153.406,10140.463,10119.845,10091.383,10055.736,10012.259,9961.350,9902.847,9836.689,9762.930,9681.718,9592.867,9496.529,9392.552,9280.977,9161.957,9035.183,8900.883,8759.024,8609.665,8452.725,8288.263,8116.139,7936.442,7749.195,7554.565,7351.952,8297.846,8080.500,8076.797,8072.976,6913.300,6909.339,6905.400,6901.371,6897.351,6893.040,6888.927,6884.625,6880.334,6875.902,6871.489,6866.930,6862.320,6857.828,6853.234,6848.402,6843.808,6838.846,6833.998,6829.094,6824.045,6818.965,6813.975,6808.726,6803.672,6798.381,6793.102,6787.740,6782.376,6777.010,6771.479,6765.916,6760.392,6754.702,6748.909,6743.177,6737.526,6731.711,6725.927,6719.876,6714.033,6708.109,6701.890,7851.818,7845.615,7839.361,7833.296,7827.020,6664.816,6658.614,6652.115,6645.800,6639.273,6632.773,6626.268,6619.755,6613.076,6606.540,6599.718,6593.194,6586.341,6579.577,6572.754,6565.986,6558.993,6552.096,6545.131,6538.131,6531.105,6524.071,6516.975,6509.935,6502.630,6495.548,6488.346,6481.078,6473.767
2025-10-10 00:00:00
2026-08-29 00:00:00
6466.536,6459.267,6451.852,6444.468,6437.123,6429.581,6422.198,6414.712,6407.187,6399.671,6392.087,6384.398,6376.877,6369.230,7517.373,7509.814,7502.162,7494.271,7486.602,6322.886,6315.160,6307.410,6299.605,6291.797,6283.850,6275.946,6268.076,6260.101,6252.187,6244.291,6236.252,6228.239,6220.270,6212.217,6204.159,6196.271,6188.186,6180.157,6171.929,6163.974,6155.803,6147.668,6139.524,6131.379,6123.260,6115.056,6106.917,6098.750,6090.457,6082.312,6074.150,6065.983,6057.657,6049.451,6041.201,6033.005,6024.679,6016.548,6008.155,6000.000
2026-08-30 00:00:00
2026-10-28 00:00:00
,
60
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-11-12 00:00:00 to 2025-12-27 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-04-30 00:00:00 to 2026-06-11 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
<history>6944.088,6945.398,6946.665,6947.786,8104.850,8105.924,8107.217,8108.393,8109.475,6954.818,6955.899,6957.059,6958.090,6959.145,6960.220,6961.318,6962.292,6963.399,6964.440,6965.396,6966.335,6967.329,6968.318,6969.262,6970.308,6971.189,6972.053,6973.114,6973.924,6974.849,6975.773,6976.581,6977.520,6978.297,6979.155,7115.363,7251.616,7387.649,7523.967,7660.104,7796.286,7932.465,8068.527,8204.644,8340.745,8476.802,8613.061,8748.985,8749.740,8750.321,8751.081,9907.626,9784.653,9666.122,9552.150,9442.662,8181.917,8081.287,7985.313,7893.763,7806.638,7724.155,7646.014,7572.430,7503.298,7438.687,7378.489,7322.829,7271.657,7225.039,7182.850,7145.026,7111.906,7083.124,7058.910,7039.071,7023.883,7013.044,7006.724,7007.114,7007.577,7008.083,7008.482,7008.862,7009.282,7009.575,7010.011,7010.297,7010.790,7011.047,7011.458,7011.767,7012.230,7012.436,7012.727,7013.192,7013.432,7013.689,7014.055,8170.214,8170.431,8170.793,8171.009,8171.254,7015.784,7016.045,7016.268,7016.443,7016.732,7017.028,7017.190,7017.498,7017.564,7017.930,7018.171,7018.253,7018.526,7018.636,7018.957,7019.104,7019.214,7019.299,7019.539,7019.696,7019.871,7020.117,7020.280,7020.392,7020.433,7020.563,7020.780,7020.858,7021.009,7021.128,7021.275,7021.371,7021.483,7021.560,7021.609,7021.790,7021.814,7022.032,7022.001,7022.146,7022.319,7022.343,7022.258,8178.283,8178.395,8178.346,8178.436,8178.518,7022.851,7022.797,7022.851,7022.963,7022.964,7022.949,7023.117,7023.132,7023.231,7023.135,7023.292,7023.289,7023.236,7023.297,7023.385,7023.308,7023.450,7023.464,7023.226,7023.499,7023.440,7023.465,7023.417,7023.500,7023.439,7023.454,7023.408,7023.528,7023.477,7023.491,7023.542,7023.553,7023.573,7023.435,7023.534,7023.597,7023.518,7023.527,7023.456,7023.464,7023.568,7023.603,7023.510,8179.274,8178.953,8178.670,8178.340,8177.818,7021.554,7020.953,7020.200,7019.356,7057.555,7173.542,7367.166,7638.878,7988.147,8415.350,8920.421,9503.241,10163.869,10162.314,10160.683,10158.975,10153.406,10140.463,10119.845,10091.383,10055.736,10012.259,9961.350,9902.847,9836.689,9762.930,9681.718,9592.867,9496.529,9392.552,9280.977,9161.957,9035.183,8900.883,8759.024,8609.665,8452.725,8288.263,8116.139,7936.442,7749.195,7554.565,7351.952,8297.846,8080.500,8076.797,8072.976,6913.300,6909.339,6905.400,6901.371,6897.351,6893.040,6888.927,6884.625,6880.334,6875.902,6871.489,6866.930,6862.320,6857.828,6853.234,6848.402,6843.808,6838.846,6833.998,6829.094,6824.045,6818.965,6813.975,6808.726,6803.672,6798.381,6793.102,6787.740,6782.376,6777.010,6771.479,6765.916,6760.392,6754.702,6748.909,6743.177,6737.526,6731.711,6725.927,6719.876,6714.033,6708.109,6701.890,7851.818,7845.615,7839.361,7833.296,7827.020,6664.816,6658.614,6652.115,6645.800,6639.273,6632.773,6626.268,6619.755,6613.076,6606.540,6599.718,6593.194,6586.341,6579.577,6572.754,6565.986,6558.993,6552.096,6545.131,6538.131,6531.105,6524.071,6516.975,6509.935,6502.630,6495.548,6488.346,6481.078,6473.767</history> This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-11-12 00:00:00 to 2025-12-27 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-04-30 00:00:00 to 2026-06-11 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal. Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_explicit/template4/item0
GIFT synthesize
anomaly
D
0.230,0.000,0.366,0.137,0.345,0.323,0.349,0.397,75.318,181.330,286.902,393.023,498.804,604.807,710.371,816.593,922.629,1028.266,1134.330,1240.201,1346.289,1318.352,1212.853,1107.412,1001.988,896.562,791.123,685.764,580.448,475.020,369.519,264.109,158.908,53.371,7.201,192.690,378.194,563.654,749.032,934.683,1120.189,1120.616,1120.994,1121.805,1122.246,1122.839,1123.343,1123.825,1124.396,1124.953,1125.593,1126.141,1126.965,1127.563,1212.331,1318.889,1425.427,1531.673,1638.107,1744.449,1851.239,1957.383,2064.265,2170.487,2277.026,2383.539,2490.015,2443.596,2338.766,2234.146,2129.118,2024.222,1919.418,1814.306,1709.538,1604.724,1500.017,1395.195,1290.426,1185.601,1149.459,1150.381,1151.203,1152.305,1153.559,1154.349,1155.417,1156.427,1157.431,1158.530,1159.953,1160.764,1161.882,1162.907,1164.210,1165.179,1166.483,1167.639,1168.762,1169.983,1265.259,1372.004,1479.011,1586.056,1693.018,1799.948,1906.878,2013.873,2121.191,2228.114,2335.143,2442.156,2549.406,2484.580,2380.415,2276.219,2171.491,3893.355,3768.724,3602.856,3395.748,3147.936,2859.001,2754.653,2650.447,2546.262,2519.957,2521.695,2523.335,2524.637,2526.368,2528.084,2529.526,2531.086,2532.814,2534.452,2535.969,2537.572,2539.310,2541.022,2542.713,2544.226,2546.113,2547.879,2549.616,2551.217,2656.514,2763.921,2871.411,2979.260,3086.584,3194.158,3301.697,3409.185,3516.934,3624.641,3732.091,3839.859,3947.424,3864.202,3760.547,3656.698,3552.971,3449.260,3345.535,3241.782,3137.917,3034.353,2930.501,2826.885,2723.310,2619.678,2603.662,2605.481,2607.628,2609.750,2611.931,2613.989,2616.218,2618.322,2620.635,2622.910,2624.793,2627.104,2629.389,2631.729,2633.971,2636.152,2638.343,2640.677,2643.075,2652.404,2760.454,2868.464,2976.703,3084.846,3192.858,3300.879,3409.256,3517.388,3625.555,3733.704,3841.975,3950.046,4058.186,3956.625,3853.424,3750.156,3647.124,3543.920,3440.530,3337.415,3234.457,3131.086,3027.960,2924.745,2821.717,2718.571,2712.559,2715.207,2717.792,2720.609,2723.320,2726.017,2728.467,2731.513,2734.244,2736.813,2739.860,2742.710,2745.251,2748.006,2750.722,2753.683,2756.306,2759.423,2762.241,2781.737,2890.359,2998.848,3107.643,3216.330,3324.882,3433.648,3542.320,3651.176,3759.657,3868.441,3977.294,4085.952,4177.375,4074.539,3972.041,3869.363,3766.646,3664.062,3561.446,3458.886,3356.036,3253.544,3151.013,3048.333,2945.868,2844.141,2847.391,2850.567,2853.842,2857.216,2860.219,2863.664,2866.972,2870.257,2873.426,2876.776,2880.180,2883.342,2886.866,2890.286,2893.474,2896.923,2900.406,2903.853,2907.051,2936.713,3045.735,3155.065,3264.314,3373.561,3482.546,3591.838,3701.130,3810.410,3919.782,4029.020,4138.349,4247.776,4320.591,4218.416,4116.484,4014.413,3912.386,3810.109,3707.980,3605.962,3503.878,3401.972,3299.718,3197.813,3095.828,3004.185,3008.057,3011.803,3015.598,3019.281,3023.206,3027.078,3030.654,3034.731,3038.405,3042.310,3046.254,3050.198,3054.002,3057.996,3062.121,3066.128,3069.865,3073.765,3077.848,3117.411,3227.221,3336.854,3446.584,3556.302,3666.170,3776.031,3886.008,3995.548,4105.503,4215.539,4325.252,4434.998,4489.593,4388.027,4286.514,4185.106,4083.398,3981.864,3880.454,3778.941,3677.486,3575.773,3474.554,3373.035,3271.549,3189.896,3194.259,3198.714,3203.113,3207.360,3211.876,3215.931
2025-10-10 00:00:00
2026-10-06 00:00:00
3220.355,3224.736,3229.461,3233.663,3238.274,3242.641,3247.277,3251.589,3255.986,3260.670,3265.206,3269.632,3274.239,3323.827,3434.091,3544.387,3654.920,3765.089,3875.486,3985.651,4096.160,4206.626,4317.014,4427.350,4537.837,4648.154,4684.358,4583.580,4482.299,4381.427,4280.275,4179.417,4078.499,3977.466,3876.758,3775.841,3674.727,3574.016,3473.063,3401.490,3406.509,3411.250,3416.221,3421.089,3426.218,3430.891,3435.858,3440.885,3445.942,3450.796,3455.865,3460.938,3465.828,3470.885,3476.032,3481.095,3486.276,3491.220,3496.300,3556.003,3666.900,3777.573,3888.849,3999.521,4110.456,4221.464,4332.372,4443.395,4554.489,4665.128,4776.364,4887.317,4904.894,4804.600,4703.819,4603.548,4503.254,4402.520,4302.349,4202.088,4101.566,4001.273,3900.803,3800.515,3700.219,3638.668,3644.185,3649.805,3655.087,3660.433,3666.116,3671.659,3677.109,3682.577,3688.059,3693.933,3699.169,3704.847,3710.440,3716.084,3721.753,3727.300,3732.769,3738.678,3744.340,3814.091,3925.546,4036.929,4148.284,4259.712,4371.240,4482.772,4594.182,4705.732,4817.280,4928.654,5040.505,5151.785,5151.046,5051.148,4951.327,4851.511,4751.451,4651.817,4552.029,4452.035,4352.404,4252.385,4152.537,4052.894,3953.346,3901.714,3907.798,3913.564,3919.618,3925.769,3931.788,3937.960,3943.920,3950.110,3956.196,3962.364,3968.290,3974.432,3980.673,3986.912,3993.193,3999.317,4005.418,4011.710
2026-10-07 00:00:00
2027-03-05 00:00:00
,
150
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the sales of this store over the next 150 days, from 2026-10-07 00:00:00 to 2027-03-05 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-10-06 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-11-12 00:00:00 to 2025-11-19 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-02-02 00:00:00 to 2026-02-03 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal.
<history>0.230,0.000,0.366,0.137,0.345,0.323,0.349,0.397,75.318,181.330,286.902,393.023,498.804,604.807,710.371,816.593,922.629,1028.266,1134.330,1240.201,1346.289,1318.352,1212.853,1107.412,1001.988,896.562,791.123,685.764,580.448,475.020,369.519,264.109,158.908,53.371,7.201,192.690,378.194,563.654,749.032,934.683,1120.189,1120.616,1120.994,1121.805,1122.246,1122.839,1123.343,1123.825,1124.396,1124.953,1125.593,1126.141,1126.965,1127.563,1212.331,1318.889,1425.427,1531.673,1638.107,1744.449,1851.239,1957.383,2064.265,2170.487,2277.026,2383.539,2490.015,2443.596,2338.766,2234.146,2129.118,2024.222,1919.418,1814.306,1709.538,1604.724,1500.017,1395.195,1290.426,1185.601,1149.459,1150.381,1151.203,1152.305,1153.559,1154.349,1155.417,1156.427,1157.431,1158.530,1159.953,1160.764,1161.882,1162.907,1164.210,1165.179,1166.483,1167.639,1168.762,1169.983,1265.259,1372.004,1479.011,1586.056,1693.018,1799.948,1906.878,2013.873,2121.191,2228.114,2335.143,2442.156,2549.406,2484.580,2380.415,2276.219,2171.491,3893.355,3768.724,3602.856,3395.748,3147.936,2859.001,2754.653,2650.447,2546.262,2519.957,2521.695,2523.335,2524.637,2526.368,2528.084,2529.526,2531.086,2532.814,2534.452,2535.969,2537.572,2539.310,2541.022,2542.713,2544.226,2546.113,2547.879,2549.616,2551.217,2656.514,2763.921,2871.411,2979.260,3086.584,3194.158,3301.697,3409.185,3516.934,3624.641,3732.091,3839.859,3947.424,3864.202,3760.547,3656.698,3552.971,3449.260,3345.535,3241.782,3137.917,3034.353,2930.501,2826.885,2723.310,2619.678,2603.662,2605.481,2607.628,2609.750,2611.931,2613.989,2616.218,2618.322,2620.635,2622.910,2624.793,2627.104,2629.389,2631.729,2633.971,2636.152,2638.343,2640.677,2643.075,2652.404,2760.454,2868.464,2976.703,3084.846,3192.858,3300.879,3409.256,3517.388,3625.555,3733.704,3841.975,3950.046,4058.186,3956.625,3853.424,3750.156,3647.124,3543.920,3440.530,3337.415,3234.457,3131.086,3027.960,2924.745,2821.717,2718.571,2712.559,2715.207,2717.792,2720.609,2723.320,2726.017,2728.467,2731.513,2734.244,2736.813,2739.860,2742.710,2745.251,2748.006,2750.722,2753.683,2756.306,2759.423,2762.241,2781.737,2890.359,2998.848,3107.643,3216.330,3324.882,3433.648,3542.320,3651.176,3759.657,3868.441,3977.294,4085.952,4177.375,4074.539,3972.041,3869.363,3766.646,3664.062,3561.446,3458.886,3356.036,3253.544,3151.013,3048.333,2945.868,2844.141,2847.391,2850.567,2853.842,2857.216,2860.219,2863.664,2866.972,2870.257,2873.426,2876.776,2880.180,2883.342,2886.866,2890.286,2893.474,2896.923,2900.406,2903.853,2907.051,2936.713,3045.735,3155.065,3264.314,3373.561,3482.546,3591.838,3701.130,3810.410,3919.782,4029.020,4138.349,4247.776,4320.591,4218.416,4116.484,4014.413,3912.386,3810.109,3707.980,3605.962,3503.878,3401.972,3299.718,3197.813,3095.828,3004.185,3008.057,3011.803,3015.598,3019.281,3023.206,3027.078,3030.654,3034.731,3038.405,3042.310,3046.254,3050.198,3054.002,3057.996,3062.121,3066.128,3069.865,3073.765,3077.848,3117.411,3227.221,3336.854,3446.584,3556.302,3666.170,3776.031,3886.008,3995.548,4105.503,4215.539,4325.252,4434.998,4489.593,4388.027,4286.514,4185.106,4083.398,3981.864,3880.454,3778.941,3677.486,3575.773,3474.554,3373.035,3271.549,3189.896,3194.259,3198.714,3203.113,3207.360,3211.876,3215.931</history> This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-10-06 00:00:00 with the daily (D) frequency. Due to a software bug, the sales records from 2025-11-12 00:00:00 to 2025-11-19 00:00:00 and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, the store implemented a sales-off event from 2026-02-02 00:00:00 to 2026-02-03 00:00:00, resulting in a slight sales increase. After the event, the sales patterns should return to normal. Predict the sales of this store over the next 150 days, from 2026-10-07 00:00:00 to 2027-03-05 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_implicit/template0/item0
GIFT synthesize
anomaly
D
45.104,79.022,108.380,130.293,349.321,558.734,758.739,950.305,1134.104,1311.993,1487.250,1661.686,1632.464,1607.898,1590.064,1344.266,1112.177,899.515,709.815,546.336,410.910,304.957,228.124,180.906,161.755,186.750,204.405,211.847,210.322,199.754,181.145,155.469,125.881,94.922,64.674,37.938,17.032,3.750,0.000,5.167,19.710,42.721,72.445,107.101,143.529,179.847,213.078,240.783,261.322,272.925,275.457,268.052,252.399,229.542,201.278,170.548,139.593,111.322,87.949,71.523,63.278,64.584,75.658,94.827,121.851,154.264,190.013,226.625,260.826,290.835,314.003,329.260,335.220,427.572,148.605,387.783,219.602,548.669,123.435,460.280,241.474,464.064,679.559,500.189,710.574,869.328,985.116,1010.289,1556.433,1466.911,2040.045,2242.954,2268.545,2129.057,1981.546,1827.236,1666.784,1502.243,1336.196,1171.494,1012.456,861.111,722.210,597.396,490.346,402.934,335.914,289.969,265.354,260.163,273.003,308.037,343.290,375.824,404.092,425.240,438.063,441.988,436.512,422.706,401.084,374.322,344.268,313.215,284.356,259.517,241.076,231.206,229.303,237.256,253.609,277.697,307.739,341.404,376.012,409.731,439.519,463.372,479.169,486.462,485.026,473.855,455.588,430.521,401.333,370.526,340.438,313.735,292.573,278.284,272.846,276.658,289.070,309.891,336.781,368.826
2025-10-10 00:00:00
2026-03-14 00:00:00
402.873,436.584,467.769,493.818,512.793,523.240,524.807,517.773,501.788,479.120,451.661,420.819,390.106,361.369,337.711,320.128,311.013,310.448,318.996,336.027,360.150,390.035,422.790,456.281,488.259,516.004,537.864,551.647,556.554,552.514,539.779,519.717,493.478,463.748,432.535,402.473,375.970,355.366,342.552,337.904,342.326,355.552,376.539,403.847,435.209,468.396,500.887,530.050,553.980,570.941,578.880,578.606,569.246,551.312,527.356,498.452,466.873,436.022,407.569,384.061,367.219,358.581,358.693,368.351,385.453,409.908,439.908,471.934,504.750,535.440,561.471,581.078,592.400,595.254,588.953,573.926,552.215,524.217,493.266,461.362,431.087,404.651,384.718,371.819,368.214,373.477,387.328,408.855,435.995,467.416,500.078,531.305,559.355,581.506,596.076,601.901,599.020,587.058,567.843,541.258
2026-03-15 00:00:00
2026-06-22 00:00:00
,
100
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
<history>45.104,79.022,108.380,130.293,349.321,558.734,758.739,950.305,1134.104,1311.993,1487.250,1661.686,1632.464,1607.898,1590.064,1344.266,1112.177,899.515,709.815,546.336,410.910,304.957,228.124,180.906,161.755,186.750,204.405,211.847,210.322,199.754,181.145,155.469,125.881,94.922,64.674,37.938,17.032,3.750,0.000,5.167,19.710,42.721,72.445,107.101,143.529,179.847,213.078,240.783,261.322,272.925,275.457,268.052,252.399,229.542,201.278,170.548,139.593,111.322,87.949,71.523,63.278,64.584,75.658,94.827,121.851,154.264,190.013,226.625,260.826,290.835,314.003,329.260,335.220,427.572,148.605,387.783,219.602,548.669,123.435,460.280,241.474,464.064,679.559,500.189,710.574,869.328,985.116,1010.289,1556.433,1466.911,2040.045,2242.954,2268.545,2129.057,1981.546,1827.236,1666.784,1502.243,1336.196,1171.494,1012.456,861.111,722.210,597.396,490.346,402.934,335.914,289.969,265.354,260.163,273.003,308.037,343.290,375.824,404.092,425.240,438.063,441.988,436.512,422.706,401.084,374.322,344.268,313.215,284.356,259.517,241.076,231.206,229.303,237.256,253.609,277.697,307.739,341.404,376.012,409.731,439.519,463.372,479.169,486.462,485.026,473.855,455.588,430.521,401.333,370.526,340.438,313.735,292.573,278.284,272.846,276.658,289.070,309.891,336.781,368.826</history> This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal. Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_implicit/template1/item0
GIFT synthesize
anomaly
D
46.772,99.481,164.879,238.480,316.446,395.768,470.917,538.994,596.387,639.657,664.900,674.772,663.466,636.520,593.470,536.605,467.878,392.910,314.391,238.260,165.277,103.903,52.939,18.215,0.000,0.491,19.617,54.671,104.645,168.635,241.853,320.678,400.364,477.662,548.539,608.676,655.085,685.787,461.035,460.935,530.947,623.250,579.179,326.294,261.821,616.636,192.082,718.514,153.847,781.140,801.142,295.323,359.730,899.933,780.651,1308.204,1228.571,1365.758,1758.350,1838.820,1916.323,1787.794,1654.223,1513.372,1371.133,1226.811,1082.367,943.700,811.192,691.172,586.964,517.199,442.568,367.587,296.509,232.720,180.658,141.816,119.329,114.643,128.593,159.962,207.323,266.653,338.777,415.385,497.090,577.025,650.717,717.258,771.661,809.647,831.515,836.448,822.123,791.947,745.016,687.703,622.182,549.638,474.901,405.319,341.403,287.887,248.115,223.726,216.382,227.767,256.601,301.166,360.490,431.140,507.593,588.582,670.766,747.340,815.931,872.785,916.296,940.623,950.644,941.300,914.818,873.029,819.966,755.497,684.493,614.010,543.195,1607.356,1552.724,1447.065,1363.119,1305.731,1275.252,1270.957,1291.578,1335.811,1404.567,1482.815,1564.003,1645.930,1725.834,1796.119,1857.365,1903.129,1934.544,1947.196,1943.397,1922.595,1884.342,1832.940,1770.987,1703.894,1633.822,1564.025
2025-10-10 00:00:00
2026-03-14 00:00:00
1499.326,1442.447,1400.282,1372.734,1360.509,1367.624,1390.619,1431.066,1487.617,1555.376,1633.062,1714.711,1798.462,1879.529,1953.418,2017.664,2069.097,2103.539,2121.425,2120.529,2104.092,2070.618,2022.609,1964.755,1899.697,1828.783,1758.949,1694.447,1637.019,1592.951,1562.462,1548.716,1552.564,1574.543,1612.220,1666.565,1734.126,1810.737,1893.402,1980.014,2062.071,2139.740,2206.544,2262.221,2301.961,2323.856,2328.359,2315.583,2285.946,2241.778,2186.920,2121.814,2054.377,1983.763,1919.039,1861.478,1814.249,1781.895,1764.944,1767.514,1786.654,1823.118,1875.430,1941.742,2018.344,2102.742,2189.280,2275.065,2354.867,2426.635,2485.194,2528.821,2556.392,2563.739,2556.305,2530.357,2490.050,2437.150,2375.438,2307.426,2237.831,2173.387,2113.418,2066.004,2030.567,2012.535,2011.836,2027.555,2061.624,2113.266,2179.380,2255.389,2339.617,2427.567,2515.704,2598.947,2673.624,2737.111,2784.925,2816.498
2026-03-15 00:00:00
2026-06-22 00:00:00
,
100
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
<history>46.772,99.481,164.879,238.480,316.446,395.768,470.917,538.994,596.387,639.657,664.900,674.772,663.466,636.520,593.470,536.605,467.878,392.910,314.391,238.260,165.277,103.903,52.939,18.215,0.000,0.491,19.617,54.671,104.645,168.635,241.853,320.678,400.364,477.662,548.539,608.676,655.085,685.787,461.035,460.935,530.947,623.250,579.179,326.294,261.821,616.636,192.082,718.514,153.847,781.140,801.142,295.323,359.730,899.933,780.651,1308.204,1228.571,1365.758,1758.350,1838.820,1916.323,1787.794,1654.223,1513.372,1371.133,1226.811,1082.367,943.700,811.192,691.172,586.964,517.199,442.568,367.587,296.509,232.720,180.658,141.816,119.329,114.643,128.593,159.962,207.323,266.653,338.777,415.385,497.090,577.025,650.717,717.258,771.661,809.647,831.515,836.448,822.123,791.947,745.016,687.703,622.182,549.638,474.901,405.319,341.403,287.887,248.115,223.726,216.382,227.767,256.601,301.166,360.490,431.140,507.593,588.582,670.766,747.340,815.931,872.785,916.296,940.623,950.644,941.300,914.818,873.029,819.966,755.497,684.493,614.010,543.195,1607.356,1552.724,1447.065,1363.119,1305.731,1275.252,1270.957,1291.578,1335.811,1404.567,1482.815,1564.003,1645.930,1725.834,1796.119,1857.365,1903.129,1934.544,1947.196,1943.397,1922.595,1884.342,1832.940,1770.987,1703.894,1633.822,1564.025</history> This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-03-14 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal. Predict the sales of this store over the next 100 days, from 2026-03-15 00:00:00 to 2026-06-22 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_implicit/template2/item0
GIFT synthesize
anomaly
D
0.000,4.764,9.816,347.463,352.129,357.037,361.771,366.596,371.127,42.951,47.887,52.604,57.297,61.968,66.791,71.599,76.038,81.062,85.932,90.727,95.615,100.096,104.990,109.651,114.286,119.451,124.063,128.492,133.504,471.437,476.085,480.917,485.670,490.408,495.209,166.946,171.702,176.499,181.160,186.039,190.568,195.340,200.360,205.188,209.772,214.651,219.168,224.056,228.809,233.527,238.120,243.004,247.939,252.558,257.528,262.077,599.774,604.646,609.484,614.296,618.950,290.881,295.626,373.924,449.234,522.210,592.337,659.526,724.044,785.339,844.299,900.619,953.884,1004.489,1052.221,1097.435,1139.537,1178.929,1215.641,1249.463,1280.841,1308.951,1667.499,1690.367,1710.698,1728.032,1742.387,1420.913,1429.788,1434.523,1439.274,1321.720,1205.636,1092.382,983.094,879.674,783.056,694.017,614.564,544.819,485.867,438.516,403.292,380.357,376.291,372.880,368.989,365.504,694.689,690.828,687.221,683.481,679.755,342.891,339.405,335.463,331.480,327.889,324.499,320.673,316.736,313.016,308.965,305.498,301.864,297.979,294.264,290.636,286.926,282.732,279.264,275.543,271.956,268.142,1054.630,1050.770,1004.334,969.036,965.243,628.574,624.802,620.824,617.255,613.470,609.659,605.982,602.326,598.516,594.572,591.178,587.126,583.558,579.887,575.827,572.362,568.633,565.061,561.007,557.280,553.368,883.174,879.269,875.447,871.738,867.990,531.048,527.455,523.452,520.074,516.256,512.575,508.700,505.089,501.330,497.654,493.900,489.903,486.350,482.539,478.994,475.180,471.176,467.514,463.978,460.078,456.299,785.726,788.107,790.504,792.651,795.103,464.020,466.832,469.204,471.532,473.698,475.781,478.678,480.745,483.048,485.719,487.994,490.197,492.419,494.846,497.420,499.634,502.034,504.181,506.811,509.166,511.388,846.980,849.244,851.539,853.890,856.093,525.719,527.938,530.306,532.616,534.933,537.263,539.701,541.796,544.408,546.698,548.983,551.436,553.930,555.965,558.282,561.000,563.144,565.579,567.966,570.270,572.529,908.088,910.462,912.743,915.258,917.487,586.674,589.088,591.462,593.769,596.190,598.451,601.254,603.313,605.490,607.719,610.291,612.619,615.153,617.365,619.625,622.252,624.485,626.756,629.219,631.268,633.794,969.375,971.546,974.121,976.547,978.748,647.925,650.389,652.639,655.057,657.363,659.779,661.993,664.430,666.850,668.971,671.535,673.813,676.341,678.596,680.872,683.375,685.492,688.155,690.590,686.979,683.721,1013.321,1009.990,1006.759,1003.496,1000.009,663.709,660.243,657.069,653.733,650.529,647.204,643.994,640.358,637.101,633.801,630.365,627.094,623.694,620.302,617.165,613.784,610.341,607.135,603.878,600.424,597.239,926.667,923.363,920.366,916.927,913.533,910.153,573.869,570.449
2025-10-10 00:00:00
2026-08-29 00:00:00
567.330,563.851,560.510,557.218,553.930,550.381,547.282,544.045,540.575,537.263,533.990,530.680,527.374,523.913,520.628,517.192,513.912,510.718,840.694,836.994,833.730,830.488,827.130,823.966,487.302,483.954,480.738,477.371,473.923,470.542,467.508,464.291,460.522,457.616,453.955,450.759,447.493,443.993,440.871,437.349,434.172,430.771,427.337,424.290,753.902,750.514,747.341,743.904,740.594,737.360,400.962,397.408,394.433,391.040,387.787,384.382,381.067,377.462,374.274,370.865
2026-08-30 00:00:00
2026-10-28 00:00:00
,
60
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
<history>0.000,4.764,9.816,347.463,352.129,357.037,361.771,366.596,371.127,42.951,47.887,52.604,57.297,61.968,66.791,71.599,76.038,81.062,85.932,90.727,95.615,100.096,104.990,109.651,114.286,119.451,124.063,128.492,133.504,471.437,476.085,480.917,485.670,490.408,495.209,166.946,171.702,176.499,181.160,186.039,190.568,195.340,200.360,205.188,209.772,214.651,219.168,224.056,228.809,233.527,238.120,243.004,247.939,252.558,257.528,262.077,599.774,604.646,609.484,614.296,618.950,290.881,295.626,373.924,449.234,522.210,592.337,659.526,724.044,785.339,844.299,900.619,953.884,1004.489,1052.221,1097.435,1139.537,1178.929,1215.641,1249.463,1280.841,1308.951,1667.499,1690.367,1710.698,1728.032,1742.387,1420.913,1429.788,1434.523,1439.274,1321.720,1205.636,1092.382,983.094,879.674,783.056,694.017,614.564,544.819,485.867,438.516,403.292,380.357,376.291,372.880,368.989,365.504,694.689,690.828,687.221,683.481,679.755,342.891,339.405,335.463,331.480,327.889,324.499,320.673,316.736,313.016,308.965,305.498,301.864,297.979,294.264,290.636,286.926,282.732,279.264,275.543,271.956,268.142,1054.630,1050.770,1004.334,969.036,965.243,628.574,624.802,620.824,617.255,613.470,609.659,605.982,602.326,598.516,594.572,591.178,587.126,583.558,579.887,575.827,572.362,568.633,565.061,561.007,557.280,553.368,883.174,879.269,875.447,871.738,867.990,531.048,527.455,523.452,520.074,516.256,512.575,508.700,505.089,501.330,497.654,493.900,489.903,486.350,482.539,478.994,475.180,471.176,467.514,463.978,460.078,456.299,785.726,788.107,790.504,792.651,795.103,464.020,466.832,469.204,471.532,473.698,475.781,478.678,480.745,483.048,485.719,487.994,490.197,492.419,494.846,497.420,499.634,502.034,504.181,506.811,509.166,511.388,846.980,849.244,851.539,853.890,856.093,525.719,527.938,530.306,532.616,534.933,537.263,539.701,541.796,544.408,546.698,548.983,551.436,553.930,555.965,558.282,561.000,563.144,565.579,567.966,570.270,572.529,908.088,910.462,912.743,915.258,917.487,586.674,589.088,591.462,593.769,596.190,598.451,601.254,603.313,605.490,607.719,610.291,612.619,615.153,617.365,619.625,622.252,624.485,626.756,629.219,631.268,633.794,969.375,971.546,974.121,976.547,978.748,647.925,650.389,652.639,655.057,657.363,659.779,661.993,664.430,666.850,668.971,671.535,673.813,676.341,678.596,680.872,683.375,685.492,688.155,690.590,686.979,683.721,1013.321,1009.990,1006.759,1003.496,1000.009,663.709,660.243,657.069,653.733,650.529,647.204,643.994,640.358,637.101,633.801,630.365,627.094,623.694,620.302,617.165,613.784,610.341,607.135,603.878,600.424,597.239,926.667,923.363,920.366,916.927,913.533,910.153,573.869,570.449</history> This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal. Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_implicit/template3/item0
GIFT synthesize
anomaly
D
6944.088,6945.398,6946.665,6947.786,8104.850,8105.924,8107.217,8108.393,8109.475,6954.818,6955.899,6957.059,6958.090,6959.145,6960.220,6961.318,6962.292,6963.399,6964.440,6965.396,6966.335,6967.329,6968.318,6969.262,6970.308,6971.189,6972.053,6973.114,6973.924,6974.849,6975.773,6976.581,6977.520,6978.297,6979.155,7115.363,7251.616,7387.649,7523.967,7660.104,7796.286,7932.465,8068.527,8204.644,8340.745,8476.802,8613.061,8748.985,8749.740,8750.321,8751.081,9907.626,9784.653,9666.122,9552.150,9442.662,8181.917,8081.287,7985.313,7893.763,7806.638,7724.155,7646.014,7572.430,7503.298,7438.687,7378.489,7322.829,7271.657,7225.039,7182.850,7145.026,7111.906,7083.124,7058.910,7039.071,7023.883,7013.044,7006.724,7007.114,7007.577,7008.083,7008.482,7008.862,7009.282,7009.575,7010.011,7010.297,7010.790,7011.047,7011.458,7011.767,7012.230,7012.436,7012.727,7013.192,7013.432,7013.689,7014.055,8170.214,8170.431,8170.793,8171.009,8171.254,7015.784,7016.045,7016.268,7016.443,7016.732,7017.028,7017.190,7017.498,7017.564,7017.930,7018.171,7018.253,7018.526,7018.636,7018.957,7019.104,7019.214,7019.299,7019.539,7019.696,7019.871,7020.117,7020.280,7020.392,7020.433,7020.563,7020.780,7020.858,7021.009,7021.128,7021.275,7021.371,7021.483,7021.560,7021.609,7021.790,7021.814,7022.032,7022.001,7022.146,7022.319,7022.343,7022.258,8178.283,8178.395,8178.346,8178.436,8178.518,7022.851,7022.797,7022.851,7022.963,7022.964,7022.949,7023.117,7023.132,7023.231,7023.135,7023.292,7023.289,7023.236,7023.297,7023.385,7023.308,7023.450,7023.464,7023.226,7023.499,7023.440,7023.465,7023.417,7023.500,7023.439,7023.454,7023.408,7023.528,7023.477,7023.491,7023.542,7023.553,7023.573,7023.435,7023.534,7023.597,7023.518,7023.527,7023.456,7023.464,7023.568,7023.603,7023.510,8179.274,8178.953,8178.670,8178.340,8177.818,7021.554,7020.953,7020.200,7019.356,7057.555,7173.542,7367.166,7638.878,7988.147,8415.350,8920.421,9503.241,10163.869,10162.314,10160.683,10158.975,10153.406,10140.463,10119.845,10091.383,10055.736,10012.259,9961.350,9902.847,9836.689,9762.930,9681.718,9592.867,9496.529,9392.552,9280.977,9161.957,9035.183,8900.883,8759.024,8609.665,8452.725,8288.263,8116.139,7936.442,7749.195,7554.565,7351.952,8297.846,8080.500,8076.797,8072.976,6913.300,6909.339,6905.400,6901.371,6897.351,6893.040,6888.927,6884.625,6880.334,6875.902,6871.489,6866.930,6862.320,6857.828,6853.234,6848.402,6843.808,6838.846,6833.998,6829.094,6824.045,6818.965,6813.975,6808.726,6803.672,6798.381,6793.102,6787.740,6782.376,6777.010,6771.479,6765.916,6760.392,6754.702,6748.909,6743.177,6737.526,6731.711,6725.927,6719.876,6714.033,6708.109,6701.890,7851.818,7845.615,7839.361,7833.296,7827.020,6664.816,6658.614,6652.115,6645.800,6639.273,6632.773,6626.268,6619.755,6613.076,6606.540,6599.718,6593.194,6586.341,6579.577,6572.754,6565.986,6558.993,6552.096,6545.131,6538.131,6531.105,6524.071,6516.975,6509.935,6502.630,6495.548,6488.346,6481.078,6473.767
2025-10-10 00:00:00
2026-08-29 00:00:00
6466.536,6459.267,6451.852,6444.468,6437.123,6429.581,6422.198,6414.712,6407.187,6399.671,6392.087,6384.398,6376.877,6369.230,7517.373,7509.814,7502.162,7494.271,7486.602,6322.886,6315.160,6307.410,6299.605,6291.797,6283.850,6275.946,6268.076,6260.101,6252.187,6244.291,6236.252,6228.239,6220.270,6212.217,6204.159,6196.271,6188.186,6180.157,6171.929,6163.974,6155.803,6147.668,6139.524,6131.379,6123.260,6115.056,6106.917,6098.750,6090.457,6082.312,6074.150,6065.983,6057.657,6049.451,6041.201,6033.005,6024.679,6016.548,6008.155,6000.000
2026-08-30 00:00:00
2026-10-28 00:00:00
,
60
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
<history>6944.088,6945.398,6946.665,6947.786,8104.850,8105.924,8107.217,8108.393,8109.475,6954.818,6955.899,6957.059,6958.090,6959.145,6960.220,6961.318,6962.292,6963.399,6964.440,6965.396,6966.335,6967.329,6968.318,6969.262,6970.308,6971.189,6972.053,6973.114,6973.924,6974.849,6975.773,6976.581,6977.520,6978.297,6979.155,7115.363,7251.616,7387.649,7523.967,7660.104,7796.286,7932.465,8068.527,8204.644,8340.745,8476.802,8613.061,8748.985,8749.740,8750.321,8751.081,9907.626,9784.653,9666.122,9552.150,9442.662,8181.917,8081.287,7985.313,7893.763,7806.638,7724.155,7646.014,7572.430,7503.298,7438.687,7378.489,7322.829,7271.657,7225.039,7182.850,7145.026,7111.906,7083.124,7058.910,7039.071,7023.883,7013.044,7006.724,7007.114,7007.577,7008.083,7008.482,7008.862,7009.282,7009.575,7010.011,7010.297,7010.790,7011.047,7011.458,7011.767,7012.230,7012.436,7012.727,7013.192,7013.432,7013.689,7014.055,8170.214,8170.431,8170.793,8171.009,8171.254,7015.784,7016.045,7016.268,7016.443,7016.732,7017.028,7017.190,7017.498,7017.564,7017.930,7018.171,7018.253,7018.526,7018.636,7018.957,7019.104,7019.214,7019.299,7019.539,7019.696,7019.871,7020.117,7020.280,7020.392,7020.433,7020.563,7020.780,7020.858,7021.009,7021.128,7021.275,7021.371,7021.483,7021.560,7021.609,7021.790,7021.814,7022.032,7022.001,7022.146,7022.319,7022.343,7022.258,8178.283,8178.395,8178.346,8178.436,8178.518,7022.851,7022.797,7022.851,7022.963,7022.964,7022.949,7023.117,7023.132,7023.231,7023.135,7023.292,7023.289,7023.236,7023.297,7023.385,7023.308,7023.450,7023.464,7023.226,7023.499,7023.440,7023.465,7023.417,7023.500,7023.439,7023.454,7023.408,7023.528,7023.477,7023.491,7023.542,7023.553,7023.573,7023.435,7023.534,7023.597,7023.518,7023.527,7023.456,7023.464,7023.568,7023.603,7023.510,8179.274,8178.953,8178.670,8178.340,8177.818,7021.554,7020.953,7020.200,7019.356,7057.555,7173.542,7367.166,7638.878,7988.147,8415.350,8920.421,9503.241,10163.869,10162.314,10160.683,10158.975,10153.406,10140.463,10119.845,10091.383,10055.736,10012.259,9961.350,9902.847,9836.689,9762.930,9681.718,9592.867,9496.529,9392.552,9280.977,9161.957,9035.183,8900.883,8759.024,8609.665,8452.725,8288.263,8116.139,7936.442,7749.195,7554.565,7351.952,8297.846,8080.500,8076.797,8072.976,6913.300,6909.339,6905.400,6901.371,6897.351,6893.040,6888.927,6884.625,6880.334,6875.902,6871.489,6866.930,6862.320,6857.828,6853.234,6848.402,6843.808,6838.846,6833.998,6829.094,6824.045,6818.965,6813.975,6808.726,6803.672,6798.381,6793.102,6787.740,6782.376,6777.010,6771.479,6765.916,6760.392,6754.702,6748.909,6743.177,6737.526,6731.711,6725.927,6719.876,6714.033,6708.109,6701.890,7851.818,7845.615,7839.361,7833.296,7827.020,6664.816,6658.614,6652.115,6645.800,6639.273,6632.773,6626.268,6619.755,6613.076,6606.540,6599.718,6593.194,6586.341,6579.577,6572.754,6565.986,6558.993,6552.096,6545.131,6538.131,6531.105,6524.071,6516.975,6509.935,6502.630,6495.548,6488.346,6481.078,6473.767</history> This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-08-29 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal. Predict the sales of this store over the next 60 days, from 2026-08-30 00:00:00 to 2026-10-28 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_implicit/template4/item0
GIFT synthesize
anomaly
D
0.230,0.000,0.366,0.137,0.345,0.323,0.349,0.397,75.318,181.330,286.902,393.023,498.804,604.807,710.371,816.593,922.629,1028.266,1134.330,1240.201,1346.289,1318.352,1212.853,1107.412,1001.988,896.562,791.123,685.764,580.448,475.020,369.519,264.109,158.908,53.371,7.201,192.690,378.194,563.654,749.032,934.683,1120.189,1120.616,1120.994,1121.805,1122.246,1122.839,1123.343,1123.825,1124.396,1124.953,1125.593,1126.141,1126.965,1127.563,1212.331,1318.889,1425.427,1531.673,1638.107,1744.449,1851.239,1957.383,2064.265,2170.487,2277.026,2383.539,2490.015,2443.596,2338.766,2234.146,2129.118,2024.222,1919.418,1814.306,1709.538,1604.724,1500.017,1395.195,1290.426,1185.601,1149.459,1150.381,1151.203,1152.305,1153.559,1154.349,1155.417,1156.427,1157.431,1158.530,1159.953,1160.764,1161.882,1162.907,1164.210,1165.179,1166.483,1167.639,1168.762,1169.983,1265.259,1372.004,1479.011,1586.056,1693.018,1799.948,1906.878,2013.873,2121.191,2228.114,2335.143,2442.156,2549.406,2484.580,2380.415,2276.219,2171.491,3893.355,3768.724,3602.856,3395.748,3147.936,2859.001,2754.653,2650.447,2546.262,2519.957,2521.695,2523.335,2524.637,2526.368,2528.084,2529.526,2531.086,2532.814,2534.452,2535.969,2537.572,2539.310,2541.022,2542.713,2544.226,2546.113,2547.879,2549.616,2551.217,2656.514,2763.921,2871.411,2979.260,3086.584,3194.158,3301.697,3409.185,3516.934,3624.641,3732.091,3839.859,3947.424,3864.202,3760.547,3656.698,3552.971,3449.260,3345.535,3241.782,3137.917,3034.353,2930.501,2826.885,2723.310,2619.678,2603.662,2605.481,2607.628,2609.750,2611.931,2613.989,2616.218,2618.322,2620.635,2622.910,2624.793,2627.104,2629.389,2631.729,2633.971,2636.152,2638.343,2640.677,2643.075,2652.404,2760.454,2868.464,2976.703,3084.846,3192.858,3300.879,3409.256,3517.388,3625.555,3733.704,3841.975,3950.046,4058.186,3956.625,3853.424,3750.156,3647.124,3543.920,3440.530,3337.415,3234.457,3131.086,3027.960,2924.745,2821.717,2718.571,2712.559,2715.207,2717.792,2720.609,2723.320,2726.017,2728.467,2731.513,2734.244,2736.813,2739.860,2742.710,2745.251,2748.006,2750.722,2753.683,2756.306,2759.423,2762.241,2781.737,2890.359,2998.848,3107.643,3216.330,3324.882,3433.648,3542.320,3651.176,3759.657,3868.441,3977.294,4085.952,4177.375,4074.539,3972.041,3869.363,3766.646,3664.062,3561.446,3458.886,3356.036,3253.544,3151.013,3048.333,2945.868,2844.141,2847.391,2850.567,2853.842,2857.216,2860.219,2863.664,2866.972,2870.257,2873.426,2876.776,2880.180,2883.342,2886.866,2890.286,2893.474,2896.923,2900.406,2903.853,2907.051,2936.713,3045.735,3155.065,3264.314,3373.561,3482.546,3591.838,3701.130,3810.410,3919.782,4029.020,4138.349,4247.776,4320.591,4218.416,4116.484,4014.413,3912.386,3810.109,3707.980,3605.962,3503.878,3401.972,3299.718,3197.813,3095.828,3004.185,3008.057,3011.803,3015.598,3019.281,3023.206,3027.078,3030.654,3034.731,3038.405,3042.310,3046.254,3050.198,3054.002,3057.996,3062.121,3066.128,3069.865,3073.765,3077.848,3117.411,3227.221,3336.854,3446.584,3556.302,3666.170,3776.031,3886.008,3995.548,4105.503,4215.539,4325.252,4434.998,4489.593,4388.027,4286.514,4185.106,4083.398,3981.864,3880.454,3778.941,3677.486,3575.773,3474.554,3373.035,3271.549,3189.896,3194.259,3198.714,3203.113,3207.360,3211.876,3215.931
2025-10-10 00:00:00
2026-10-06 00:00:00
3220.355,3224.736,3229.461,3233.663,3238.274,3242.641,3247.277,3251.589,3255.986,3260.670,3265.206,3269.632,3274.239,3323.827,3434.091,3544.387,3654.920,3765.089,3875.486,3985.651,4096.160,4206.626,4317.014,4427.350,4537.837,4648.154,4684.358,4583.580,4482.299,4381.427,4280.275,4179.417,4078.499,3977.466,3876.758,3775.841,3674.727,3574.016,3473.063,3401.490,3406.509,3411.250,3416.221,3421.089,3426.218,3430.891,3435.858,3440.885,3445.942,3450.796,3455.865,3460.938,3465.828,3470.885,3476.032,3481.095,3486.276,3491.220,3496.300,3556.003,3666.900,3777.573,3888.849,3999.521,4110.456,4221.464,4332.372,4443.395,4554.489,4665.128,4776.364,4887.317,4904.894,4804.600,4703.819,4603.548,4503.254,4402.520,4302.349,4202.088,4101.566,4001.273,3900.803,3800.515,3700.219,3638.668,3644.185,3649.805,3655.087,3660.433,3666.116,3671.659,3677.109,3682.577,3688.059,3693.933,3699.169,3704.847,3710.440,3716.084,3721.753,3727.300,3732.769,3738.678,3744.340,3814.091,3925.546,4036.929,4148.284,4259.712,4371.240,4482.772,4594.182,4705.732,4817.280,4928.654,5040.505,5151.785,5151.046,5051.148,4951.327,4851.511,4751.451,4651.817,4552.029,4452.035,4352.404,4252.385,4152.537,4052.894,3953.346,3901.714,3907.798,3913.564,3919.618,3925.769,3931.788,3937.960,3943.920,3950.110,3956.196,3962.364,3968.290,3974.432,3980.673,3986.912,3993.193,3999.317,4005.418,4011.710
2026-10-07 00:00:00
2027-03-05 00:00:00
,
150
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the sales of this store over the next 150 days, from 2026-10-07 00:00:00 to 2027-03-05 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-10-06 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal.
<history>0.230,0.000,0.366,0.137,0.345,0.323,0.349,0.397,75.318,181.330,286.902,393.023,498.804,604.807,710.371,816.593,922.629,1028.266,1134.330,1240.201,1346.289,1318.352,1212.853,1107.412,1001.988,896.562,791.123,685.764,580.448,475.020,369.519,264.109,158.908,53.371,7.201,192.690,378.194,563.654,749.032,934.683,1120.189,1120.616,1120.994,1121.805,1122.246,1122.839,1123.343,1123.825,1124.396,1124.953,1125.593,1126.141,1126.965,1127.563,1212.331,1318.889,1425.427,1531.673,1638.107,1744.449,1851.239,1957.383,2064.265,2170.487,2277.026,2383.539,2490.015,2443.596,2338.766,2234.146,2129.118,2024.222,1919.418,1814.306,1709.538,1604.724,1500.017,1395.195,1290.426,1185.601,1149.459,1150.381,1151.203,1152.305,1153.559,1154.349,1155.417,1156.427,1157.431,1158.530,1159.953,1160.764,1161.882,1162.907,1164.210,1165.179,1166.483,1167.639,1168.762,1169.983,1265.259,1372.004,1479.011,1586.056,1693.018,1799.948,1906.878,2013.873,2121.191,2228.114,2335.143,2442.156,2549.406,2484.580,2380.415,2276.219,2171.491,3893.355,3768.724,3602.856,3395.748,3147.936,2859.001,2754.653,2650.447,2546.262,2519.957,2521.695,2523.335,2524.637,2526.368,2528.084,2529.526,2531.086,2532.814,2534.452,2535.969,2537.572,2539.310,2541.022,2542.713,2544.226,2546.113,2547.879,2549.616,2551.217,2656.514,2763.921,2871.411,2979.260,3086.584,3194.158,3301.697,3409.185,3516.934,3624.641,3732.091,3839.859,3947.424,3864.202,3760.547,3656.698,3552.971,3449.260,3345.535,3241.782,3137.917,3034.353,2930.501,2826.885,2723.310,2619.678,2603.662,2605.481,2607.628,2609.750,2611.931,2613.989,2616.218,2618.322,2620.635,2622.910,2624.793,2627.104,2629.389,2631.729,2633.971,2636.152,2638.343,2640.677,2643.075,2652.404,2760.454,2868.464,2976.703,3084.846,3192.858,3300.879,3409.256,3517.388,3625.555,3733.704,3841.975,3950.046,4058.186,3956.625,3853.424,3750.156,3647.124,3543.920,3440.530,3337.415,3234.457,3131.086,3027.960,2924.745,2821.717,2718.571,2712.559,2715.207,2717.792,2720.609,2723.320,2726.017,2728.467,2731.513,2734.244,2736.813,2739.860,2742.710,2745.251,2748.006,2750.722,2753.683,2756.306,2759.423,2762.241,2781.737,2890.359,2998.848,3107.643,3216.330,3324.882,3433.648,3542.320,3651.176,3759.657,3868.441,3977.294,4085.952,4177.375,4074.539,3972.041,3869.363,3766.646,3664.062,3561.446,3458.886,3356.036,3253.544,3151.013,3048.333,2945.868,2844.141,2847.391,2850.567,2853.842,2857.216,2860.219,2863.664,2866.972,2870.257,2873.426,2876.776,2880.180,2883.342,2886.866,2890.286,2893.474,2896.923,2900.406,2903.853,2907.051,2936.713,3045.735,3155.065,3264.314,3373.561,3482.546,3591.838,3701.130,3810.410,3919.782,4029.020,4138.349,4247.776,4320.591,4218.416,4116.484,4014.413,3912.386,3810.109,3707.980,3605.962,3503.878,3401.972,3299.718,3197.813,3095.828,3004.185,3008.057,3011.803,3015.598,3019.281,3023.206,3027.078,3030.654,3034.731,3038.405,3042.310,3046.254,3050.198,3054.002,3057.996,3062.121,3066.128,3069.865,3073.765,3077.848,3117.411,3227.221,3336.854,3446.584,3556.302,3666.170,3776.031,3886.008,3995.548,4105.503,4215.539,4325.252,4434.998,4489.593,4388.027,4286.514,4185.106,4083.398,3981.864,3880.454,3778.941,3677.486,3575.773,3474.554,3373.035,3271.549,3189.896,3194.259,3198.714,3203.113,3207.360,3211.876,3215.931</history> This time series records the sales volume of a chain store. The data was recorded from 2025-10-10 00:00:00 to 2026-10-06 00:00:00 with the daily (D) frequency. Due to a software bug, there was a period where the sales records were incorrect and were significantly higher than normal. After updating the software version, this bug would not happen again in the future. Furthermore, there was a period where the store implemented a sales-off event, resulting in an increase in sales. After the event, the sales patterns should return to normal. Predict the sales of this store over the next 150 days, from 2026-10-07 00:00:00 to 2027-03-05 00:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_explicit/template0/item1
GIFT synthesize
anomaly
S
9.803,9.726,9.650,9.574,9.499,9.424,9.349,9.274,9.200,9.126,9.052,8.979,8.905,8.833,8.760,8.688,8.616,8.544,8.473,8.402,8.331,8.261,8.190,8.121,8.051,7.982,7.913,7.844,7.776,7.708,7.640,7.573,7.505,7.439,7.372,7.306,7.240,7.174,7.108,7.044,6.979,6.914,6.850,6.900,7.177,7.683,8.415,9.376,10.564,11.980,13.623,15.495,17.593,19.920,22.474,25.256,28.265,31.502,34.967,34.908,34.849,34.791,31.888,29.131,26.521,24.056,21.738,19.566,17.541,15.661,13.928,12.341,10.899,9.605,8.456,7.453,6.597,5.887,5.323,4.905,4.633,4.581,4.529,4.477,4.425,4.374,4.323,4.272,4.222,4.171,4.122,4.072,4.023,3.974,3.925,3.877,3.829,3.782,3.734,5.005,5.727,4.954,3.721,4.902,3.230,4.453,2.337,5.812,4.586,2.779,4.374,2.733,3.876,5.277,1.000,1.957,3.378,4.665,1.512,4.634,1.669,1.492,2.479,0.882,4.444,0.906,3.905,3.317,1.097,4.667,4.634,1.155,2.778,1.868,2.236,4.100,2.154,2.118,2.083,2.048,2.012,1.978,1.944,1.910,1.876,1.843,1.810,1.777,1.744,1.712,1.680,1.649,1.618,1.587,1.556,1.526,1.496,1.466,1.436,1.407,1.378,1.350,1.322,1.294,1.266,1.239,1.212,1.185,1.158,1.132,1.106,1.081,1.055,1.030,1.006,0.981,0.957,0.933,0.910,0.887,0.864,0.841,0.819,0.797,0.775,0.754,0.733,0.712,0.692,0.671,0.651,0.632,0.612,0.594,0.575,0.557,0.538,0.521,0.503,0.486,0.469,0.452,0.436,0.420,0.404,0.389
2025-10-08 00:00:00
2025-10-08 00:03:25
0.374,0.359,0.344,0.330,0.316,0.303,0.290,0.276,0.264,0.251,0.239,0.227,0.216,0.205,0.194,0.183,0.173,0.163,0.153,0.144,0.135,0.126,0.117,0.109,0.101,0.093,0.086,0.079,0.072,0.066,0.060,0.054,0.048,0.043,0.038,0.033,0.029,0.025,0.021,0.018,0.015,0.012,0.009,0.007,0.005,0.004,0.002,0.001,0.000,0.000
2025-10-08 00:03:26
2025-10-08 00:04:15
,
50
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:41 to 2025-10-08 00:01:20 and 2025-10-08 00:01:38 to 2025-10-08 00:02:15 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
<history>9.803,9.726,9.650,9.574,9.499,9.424,9.349,9.274,9.200,9.126,9.052,8.979,8.905,8.833,8.760,8.688,8.616,8.544,8.473,8.402,8.331,8.261,8.190,8.121,8.051,7.982,7.913,7.844,7.776,7.708,7.640,7.573,7.505,7.439,7.372,7.306,7.240,7.174,7.108,7.044,6.979,6.914,6.850,6.900,7.177,7.683,8.415,9.376,10.564,11.980,13.623,15.495,17.593,19.920,22.474,25.256,28.265,31.502,34.967,34.908,34.849,34.791,31.888,29.131,26.521,24.056,21.738,19.566,17.541,15.661,13.928,12.341,10.899,9.605,8.456,7.453,6.597,5.887,5.323,4.905,4.633,4.581,4.529,4.477,4.425,4.374,4.323,4.272,4.222,4.171,4.122,4.072,4.023,3.974,3.925,3.877,3.829,3.782,3.734,5.005,5.727,4.954,3.721,4.902,3.230,4.453,2.337,5.812,4.586,2.779,4.374,2.733,3.876,5.277,1.000,1.957,3.378,4.665,1.512,4.634,1.669,1.492,2.479,0.882,4.444,0.906,3.905,3.317,1.097,4.667,4.634,1.155,2.778,1.868,2.236,4.100,2.154,2.118,2.083,2.048,2.012,1.978,1.944,1.910,1.876,1.843,1.810,1.777,1.744,1.712,1.680,1.649,1.618,1.587,1.556,1.526,1.496,1.466,1.436,1.407,1.378,1.350,1.322,1.294,1.266,1.239,1.212,1.185,1.158,1.132,1.106,1.081,1.055,1.030,1.006,0.981,0.957,0.933,0.910,0.887,0.864,0.841,0.819,0.797,0.775,0.754,0.733,0.712,0.692,0.671,0.651,0.632,0.612,0.594,0.575,0.557,0.538,0.521,0.503,0.486,0.469,0.452,0.436,0.420,0.404,0.389</history> This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:41 to 2025-10-08 00:01:20 and 2025-10-08 00:01:38 to 2025-10-08 00:02:15 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop. Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_explicit/template1/item1
GIFT synthesize
anomaly
S
14.855,14.855,14.852,14.854,14.850,14.849,14.846,14.843,14.839,14.835,14.830,14.827,14.821,7.059,22.881,26.085,9.680,2.817,6.463,11.880,11.110,27.974,22.310,17.379,20.249,2.389,1.111,9.652,14.676,14.660,14.648,14.636,14.620,14.605,14.591,14.576,14.558,14.542,14.521,14.508,14.489,14.469,14.451,14.434,14.411,14.391,14.370,14.350,14.328,14.308,14.284,14.259,14.236,14.212,14.189,14.163,14.139,14.110,14.086,14.059,14.031,14.005,13.975,13.948,13.918,13.889,13.861,13.829,13.797,13.768,13.735,13.704,13.669,13.637,13.603,13.570,13.535,13.500,13.465,13.429,13.392,13.356,13.318,13.280,13.243,13.205,13.164,13.123,13.085,13.044,13.004,12.962,12.922,12.879,12.837,12.794,12.749,12.705,12.661,12.615,12.570,12.524,12.478,12.430,12.384,12.335,21.203,17.547,0.434,13.251,15.351,20.634,4.553,23.944,21.560,3.747,16.482,14.936,15.870,16.784,12.966,20.042,6.240,14.929,18.747,22.234,7.984,8.549,2.664,3.317,4.427,0.000,16.452,9.919,5.373,9.509,4.571,14.456,19.951,7.129,3.475,10.314,10.247,10.184,10.117,10.050,9.985,9.919,9.850,9.783,9.715,9.646,9.575,9.506,9.437,9.366,9.295,9.222,9.151,9.079,9.005,8.933,8.859,8.785,8.712,8.635,8.559,8.483,8.406,8.331,8.253,8.175,8.097,8.017,7.938,7.859,7.778,7.698,7.617,7.535,7.455,7.370,7.287,7.204,7.119,7.037,6.951,6.866,6.781,6.695,6.608,6.523,6.433,6.344,6.257,6.169,6.078,5.990,5.898,5.808,5.717,5.626,5.534,5.440,5.349,5.254
2025-10-08 00:00:00
2025-10-08 00:03:25
5.160,5.067,4.971,4.878,4.780,4.683,4.590,4.491,4.394,4.294,4.197,4.097,4.000,3.900,3.797,3.698,3.598,3.494,3.393,3.289,3.187,3.084,2.980,2.876,2.770,2.665,2.561,2.453,2.346,2.242,2.132,2.026,1.916,1.806,1.699,1.587,1.478,1.365,1.255,1.142,1.032,0.920,0.806,0.692,0.577,0.464,0.348,0.234,0.115,0.000
2025-10-08 00:03:26
2025-10-08 00:04:15
,
50
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:12 to 2025-10-08 00:00:27 and 2025-10-08 00:01:45 to 2025-10-08 00:02:20 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
<history>14.855,14.855,14.852,14.854,14.850,14.849,14.846,14.843,14.839,14.835,14.830,14.827,14.821,7.059,22.881,26.085,9.680,2.817,6.463,11.880,11.110,27.974,22.310,17.379,20.249,2.389,1.111,9.652,14.676,14.660,14.648,14.636,14.620,14.605,14.591,14.576,14.558,14.542,14.521,14.508,14.489,14.469,14.451,14.434,14.411,14.391,14.370,14.350,14.328,14.308,14.284,14.259,14.236,14.212,14.189,14.163,14.139,14.110,14.086,14.059,14.031,14.005,13.975,13.948,13.918,13.889,13.861,13.829,13.797,13.768,13.735,13.704,13.669,13.637,13.603,13.570,13.535,13.500,13.465,13.429,13.392,13.356,13.318,13.280,13.243,13.205,13.164,13.123,13.085,13.044,13.004,12.962,12.922,12.879,12.837,12.794,12.749,12.705,12.661,12.615,12.570,12.524,12.478,12.430,12.384,12.335,21.203,17.547,0.434,13.251,15.351,20.634,4.553,23.944,21.560,3.747,16.482,14.936,15.870,16.784,12.966,20.042,6.240,14.929,18.747,22.234,7.984,8.549,2.664,3.317,4.427,0.000,16.452,9.919,5.373,9.509,4.571,14.456,19.951,7.129,3.475,10.314,10.247,10.184,10.117,10.050,9.985,9.919,9.850,9.783,9.715,9.646,9.575,9.506,9.437,9.366,9.295,9.222,9.151,9.079,9.005,8.933,8.859,8.785,8.712,8.635,8.559,8.483,8.406,8.331,8.253,8.175,8.097,8.017,7.938,7.859,7.778,7.698,7.617,7.535,7.455,7.370,7.287,7.204,7.119,7.037,6.951,6.866,6.781,6.695,6.608,6.523,6.433,6.344,6.257,6.169,6.078,5.990,5.898,5.808,5.717,5.626,5.534,5.440,5.349,5.254</history> This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:12 to 2025-10-08 00:00:27 and 2025-10-08 00:01:45 to 2025-10-08 00:02:20 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop. Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_explicit/template2/item1
GIFT synthesize
anomaly
S
24.725,24.629,24.526,24.426,24.337,24.218,24.109,24.021,23.911,23.815,23.710,23.624,23.511,23.406,23.314,23.203,23.104,23.003,22.913,22.793,22.701,22.610,22.509,22.399,22.299,22.218,22.109,22.002,14.159,30.600,25.329,20.132,17.209,14.623,30.874,13.204,26.293,19.704,24.976,18.480,14.477,27.958,12.967,14.644,26.280,27.945,13.022,11.870,24.124,20.013,20.002,21.806,26.665,22.393,19.018,23.527,28.762,24.190,22.647,10.683,18.696,24.388,26.039,18.544,11.664,10.121,13.860,10.369,9.368,16.709,14.839,12.872,26.969,7.187,21.460,26.551,16.977,24.150,19.540,10.874,17.890,19.824,17.733,20.864,18.744,16.305,16.205,16.111,16.037,15.935,15.847,15.740,15.637,15.554,15.449,15.370,15.272,15.175,15.085,14.992,14.900,14.808,14.698,14.627,14.528,14.434,14.339,14.243,14.156,14.067,13.979,13.880,13.803,13.692,13.611,13.521,13.436,13.344,13.267,13.163,16.811,20.454,24.033,27.617,31.146,34.606,38.003,41.341,44.542,47.699,50.696,53.592,56.360,58.979,61.460,63.763,65.937,67.925,69.737,71.357,72.808,74.029,75.097,75.940,76.588,77.023,77.266,77.166,77.085,77.002,76.664,75.815,74.422,72.516,70.099,67.169,63.713,59.742,55.262,50.254,44.714,38.668,32.112,25.013,17.404,9.280,9.202,9.120,9.054,8.968,8.893,8.812,8.747,8.665,8.574,8.498,8.434,8.344,8.283,8.203,8.138,8.057,7.970,7.898,7.830,7.747,7.693,7.616,7.538,7.461,7.394,7.326,7.233,7.179,7.099,7.051,6.970,6.888,6.827,6.759,6.677,6.620,6.553,6.471,6.416,6.337,6.290,6.205,6.138,6.069,6.031,5.947,5.872,5.812,5.749,5.686,5.635,5.555,5.488,5.419,5.379,5.309,5.232,5.182,5.119,5.056,5.000,4.924,4.865,4.808,4.751,4.698,4.649,4.571,4.512,4.450,4.391,4.346,4.293,4.239,4.184,4.129,4.066,4.013,3.954,3.903,3.856,3.787,3.746,3.678,3.622,3.591,3.529,3.486,3.439,3.379,3.321,3.269,3.222,3.182,3.112,3.082,3.019,2.971
2025-10-08 00:00:00
2025-10-08 00:04:23
2.932,2.894,2.843,2.792,2.735,2.688,2.661,2.611,2.559,2.499,2.484,2.427,2.389,2.355,2.291,2.263,2.205,2.160,2.132,2.088,2.053,2.019,1.974,1.941,1.908,1.847,1.797,1.774,1.743,1.705,1.668,1.636,1.596,1.552,1.532,1.489,1.462,1.415,1.363,1.355,1.330,1.300,1.262,1.230,1.203,1.165,1.141,1.110,1.086,1.029,1.015,1.008,0.969,0.925,0.901,0.869,0.855,0.834,0.794,0.780,0.759,0.725,0.701,0.677,0.653,0.625,0.614,0.590,0.573,0.547,0.541,0.508,0.499,0.468,0.449,0.419,0.409,0.397,0.368,0.370,0.355,0.321,0.308,0.300,0.267,0.257,0.265,0.245,0.221,0.201,0.197,0.177,0.176,0.158,0.143,0.153,0.145,0.103,0.123,0.095,0.097,0.089,0.085,0.071,0.061,0.052,0.043,0.045,0.039,0.050,0.043,0.035,0.026,0.038,0.023,0.000,0.002,0.018,0.016,0.006
2025-10-08 00:04:24
2025-10-08 00:06:23
,
120
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:27 to 2025-10-08 00:01:24 and 2025-10-08 00:01:58 to 2025-10-08 00:02:45 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
<history>24.725,24.629,24.526,24.426,24.337,24.218,24.109,24.021,23.911,23.815,23.710,23.624,23.511,23.406,23.314,23.203,23.104,23.003,22.913,22.793,22.701,22.610,22.509,22.399,22.299,22.218,22.109,22.002,14.159,30.600,25.329,20.132,17.209,14.623,30.874,13.204,26.293,19.704,24.976,18.480,14.477,27.958,12.967,14.644,26.280,27.945,13.022,11.870,24.124,20.013,20.002,21.806,26.665,22.393,19.018,23.527,28.762,24.190,22.647,10.683,18.696,24.388,26.039,18.544,11.664,10.121,13.860,10.369,9.368,16.709,14.839,12.872,26.969,7.187,21.460,26.551,16.977,24.150,19.540,10.874,17.890,19.824,17.733,20.864,18.744,16.305,16.205,16.111,16.037,15.935,15.847,15.740,15.637,15.554,15.449,15.370,15.272,15.175,15.085,14.992,14.900,14.808,14.698,14.627,14.528,14.434,14.339,14.243,14.156,14.067,13.979,13.880,13.803,13.692,13.611,13.521,13.436,13.344,13.267,13.163,16.811,20.454,24.033,27.617,31.146,34.606,38.003,41.341,44.542,47.699,50.696,53.592,56.360,58.979,61.460,63.763,65.937,67.925,69.737,71.357,72.808,74.029,75.097,75.940,76.588,77.023,77.266,77.166,77.085,77.002,76.664,75.815,74.422,72.516,70.099,67.169,63.713,59.742,55.262,50.254,44.714,38.668,32.112,25.013,17.404,9.280,9.202,9.120,9.054,8.968,8.893,8.812,8.747,8.665,8.574,8.498,8.434,8.344,8.283,8.203,8.138,8.057,7.970,7.898,7.830,7.747,7.693,7.616,7.538,7.461,7.394,7.326,7.233,7.179,7.099,7.051,6.970,6.888,6.827,6.759,6.677,6.620,6.553,6.471,6.416,6.337,6.290,6.205,6.138,6.069,6.031,5.947,5.872,5.812,5.749,5.686,5.635,5.555,5.488,5.419,5.379,5.309,5.232,5.182,5.119,5.056,5.000,4.924,4.865,4.808,4.751,4.698,4.649,4.571,4.512,4.450,4.391,4.346,4.293,4.239,4.184,4.129,4.066,4.013,3.954,3.903,3.856,3.787,3.746,3.678,3.622,3.591,3.529,3.486,3.439,3.379,3.321,3.269,3.222,3.182,3.112,3.082,3.019,2.971</history> This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:27 to 2025-10-08 00:01:24 and 2025-10-08 00:01:58 to 2025-10-08 00:02:45 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop. Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_explicit/template3/item1
GIFT synthesize
anomaly
S
22.601,22.519,22.425,22.331,22.232,22.142,22.063,21.965,21.873,21.780,21.690,21.597,21.497,21.414,21.320,21.231,21.141,21.042,20.936,20.854,20.767,20.671,20.574,20.483,20.395,20.303,20.215,20.115,20.028,19.934,19.848,19.751,19.660,19.565,19.482,19.398,19.289,19.204,19.110,19.021,18.924,18.826,18.752,18.641,18.564,18.476,18.380,18.293,18.206,18.100,18.021,17.930,17.837,17.751,17.662,17.564,17.477,17.394,17.293,17.215,15.643,27.336,25.704,15.489,12.100,14.781,15.831,8.938,5.327,7.005,12.275,4.933,17.804,13.465,22.758,12.824,17.632,24.760,12.520,12.714,22.731,12.261,13.934,4.537,15.932,20.078,7.407,19.517,16.936,25.231,19.351,8.309,11.820,17.989,14.882,11.265,5.191,13.874,13.791,13.707,13.610,13.535,13.453,13.367,13.278,13.200,13.107,13.031,12.949,12.863,12.777,12.688,12.610,12.528,12.447,12.361,12.287,12.197,12.107,12.031,11.959,11.870,11.791,11.717,11.628,11.536,11.461,11.389,11.321,11.222,11.144,11.073,10.992,10.914,10.826,10.763,10.682,10.582,10.518,10.444,10.364,10.274,10.198,10.125,10.044,9.966,9.902,9.815,9.740,9.670,9.590,9.525,9.438,9.374,9.298,9.213,9.139,9.068,8.997,8.914,8.843,8.784,8.699,8.634,8.557,8.479,8.411,8.345,8.272,8.194,8.123,8.057,7.989,7.910,7.849,7.789,7.707,7.622,7.566,7.502,7.431,7.365,7.297,7.220,7.156,7.085,7.025,6.954,6.890,6.819,6.756,6.699,6.631,6.562,6.499,6.422,6.360,6.298,6.236,6.173,6.108,6.039,5.997,5.912,5.852,5.796,2.400,1.985,5.949,3.084,4.475,5.211,7.499,3.461,5.221,6.426,2.779,1.666,3.565,2.855,4.498,7.674,4.788,4.730,4.677,4.622,4.558,4.507,4.445,4.398,4.347,4.291,4.229,4.180,4.123,4.072,4.018,3.962,3.905,3.861,3.806,3.767,3.706,3.651,3.617,3.561,3.513,3.461,3.412,3.360,3.314,3.271,3.211,3.162,3.124,3.077,3.032,2.986,2.943,2.898,2.845,2.806,2.762,2.718
2025-10-08 00:00:00
2025-10-08 00:04:23
2.678,2.627,2.585,2.547,2.500,2.455,2.410,2.373,2.329,2.285,2.257,2.214,2.172,2.126,2.093,2.056,2.015,1.976,1.942,1.904,1.862,1.831,1.796,1.757,1.718,1.689,1.652,1.622,1.582,1.549,1.509,1.485,1.439,1.428,1.385,1.349,1.327,1.298,1.262,1.233,1.195,1.177,1.144,1.113,1.085,1.056,1.031,1.001,0.972,0.944,0.925,0.902,0.871,0.851,0.826,0.795,0.766,0.750,0.720,0.703,0.694,0.663,0.641,0.613,0.587,0.570,0.556,0.523,0.514,0.485,0.475,0.454,0.439,0.420,0.401,0.385,0.369,0.344,0.341,0.319,0.304,0.292,0.275,0.259,0.246,0.231,0.228,0.204,0.201,0.176,0.172,0.165,0.146,0.136,0.122,0.130,0.106,0.098,0.108,0.083,0.069,0.070,0.073,0.059,0.047,0.040,0.046,0.035,0.023,0.021,0.018,0.013,0.018,0.009,0.008,0.011,0.003,0.006,0.000,0.007
2025-10-08 00:04:24
2025-10-08 00:06:23
,
120
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:59 to 2025-10-08 00:01:36 and 2025-10-08 00:03:25 to 2025-10-08 00:03:41 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
<history>22.601,22.519,22.425,22.331,22.232,22.142,22.063,21.965,21.873,21.780,21.690,21.597,21.497,21.414,21.320,21.231,21.141,21.042,20.936,20.854,20.767,20.671,20.574,20.483,20.395,20.303,20.215,20.115,20.028,19.934,19.848,19.751,19.660,19.565,19.482,19.398,19.289,19.204,19.110,19.021,18.924,18.826,18.752,18.641,18.564,18.476,18.380,18.293,18.206,18.100,18.021,17.930,17.837,17.751,17.662,17.564,17.477,17.394,17.293,17.215,15.643,27.336,25.704,15.489,12.100,14.781,15.831,8.938,5.327,7.005,12.275,4.933,17.804,13.465,22.758,12.824,17.632,24.760,12.520,12.714,22.731,12.261,13.934,4.537,15.932,20.078,7.407,19.517,16.936,25.231,19.351,8.309,11.820,17.989,14.882,11.265,5.191,13.874,13.791,13.707,13.610,13.535,13.453,13.367,13.278,13.200,13.107,13.031,12.949,12.863,12.777,12.688,12.610,12.528,12.447,12.361,12.287,12.197,12.107,12.031,11.959,11.870,11.791,11.717,11.628,11.536,11.461,11.389,11.321,11.222,11.144,11.073,10.992,10.914,10.826,10.763,10.682,10.582,10.518,10.444,10.364,10.274,10.198,10.125,10.044,9.966,9.902,9.815,9.740,9.670,9.590,9.525,9.438,9.374,9.298,9.213,9.139,9.068,8.997,8.914,8.843,8.784,8.699,8.634,8.557,8.479,8.411,8.345,8.272,8.194,8.123,8.057,7.989,7.910,7.849,7.789,7.707,7.622,7.566,7.502,7.431,7.365,7.297,7.220,7.156,7.085,7.025,6.954,6.890,6.819,6.756,6.699,6.631,6.562,6.499,6.422,6.360,6.298,6.236,6.173,6.108,6.039,5.997,5.912,5.852,5.796,2.400,1.985,5.949,3.084,4.475,5.211,7.499,3.461,5.221,6.426,2.779,1.666,3.565,2.855,4.498,7.674,4.788,4.730,4.677,4.622,4.558,4.507,4.445,4.398,4.347,4.291,4.229,4.180,4.123,4.072,4.018,3.962,3.905,3.861,3.806,3.767,3.706,3.651,3.617,3.561,3.513,3.461,3.412,3.360,3.314,3.271,3.211,3.162,3.124,3.077,3.032,2.986,2.943,2.898,2.845,2.806,2.762,2.718</history> This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:00:59 to 2025-10-08 00:01:36 and 2025-10-08 00:03:25 to 2025-10-08 00:03:41 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop. Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_explicit/template4/item1
GIFT synthesize
anomaly
S
25.019,25.003,25.015,25.027,25.008,24.994,24.992,25.012,24.989,24.989,24.986,25.023,25.019,24.990,24.984,24.989,24.974,24.983,24.978,24.958,24.975,24.969,24.953,24.958,24.974,24.965,24.943,24.942,24.922,24.918,24.915,24.934,24.923,24.911,24.891,24.884,24.880,24.857,24.856,24.859,24.868,24.860,24.834,24.833,24.818,24.811,24.824,24.810,24.770,24.794,24.768,24.754,24.731,24.741,24.729,24.726,24.726,24.708,24.688,24.680,24.671,24.659,24.643,24.641,24.608,24.615,24.611,24.601,24.566,24.551,24.544,24.534,24.524,24.512,24.459,24.463,27.379,30.289,33.190,36.061,38.936,41.779,44.571,47.361,50.130,52.804,55.495,58.084,60.651,63.165,65.621,67.993,70.324,72.556,74.719,76.825,78.827,80.769,82.583,84.335,85.972,87.536,89.003,90.365,91.607,92.763,93.824,94.761,95.594,96.314,96.883,97.397,97.784,98.040,98.214,98.181,98.131,81.431,81.013,92.955,88.085,88.559,69.963,65.462,80.709,51.115,48.518,47.573,43.002,48.898,35.504,36.878,46.795,43.965,55.990,26.419,22.165,37.431,18.035,23.146,23.145,23.118,23.070,23.045,23.015,23.007,22.985,22.956,22.914,22.878,22.861,22.837,22.809,22.785,22.735,22.712,22.682,22.665,22.617,22.575,22.559,22.541,22.488,22.473,22.428,22.398,22.358,22.338,22.320,22.278,22.243,22.205,22.161,22.135,22.102,22.076,22.048,22.013,21.959,21.948,21.910,21.866,21.840,21.792,21.764,21.720,21.708,21.683,21.637,21.600,21.538,21.520,21.468,21.454,21.412,21.357,21.330,21.302,21.243,21.225,21.183,21.136,21.100,21.068,21.044,20.993,20.953,20.925,20.860,20.835,20.784,20.764,20.715,20.691,20.623,20.582,20.539,20.507,20.461,20.437,20.370,20.327,20.296,20.258,20.199,20.161,20.137,20.064,20.037,19.985,19.954,19.903,19.864,19.817,19.762,19.730,19.689,19.625,19.573,19.514,19.486,19.489,19.379,19.344,19.300,19.251,19.216,19.176,19.117,19.070,19.023,18.978,18.935,18.869,18.821,18.771,18.758,18.696,18.634,18.584,18.544,18.493,18.447,18.385,18.313,18.305,18.229,18.179,18.124,18.081,18.023,17.953,17.907,17.857,17.838,17.744,17.731,17.678,17.601,17.548,17.490,17.443,17.398,17.357,17.269,17.222,17.189,17.112,17.069,17.016,16.948,16.885,16.847,16.776,16.738,16.672,16.616,16.572,16.497,16.434,16.394,16.331,16.266,16.207,16.151,16.100,16.049,15.999,15.943,15.873,15.814,15.747,15.699,15.628,15.587,15.494,15.428,15.391,15.338,15.253,17.130,18.934,20.651,22.346,23.934,25.492,26.971,28.396,29.736,31.039,32.262,33.432,34.547,35.584,36.560,37.464,38.328,39.095,39.831,40.480,41.096,41.613,42.083,42.490,42.842,43.111,43.338,43.489,43.574,43.622,43.539,43.492,43.395,45.001,37.735,34.861,35.414,28.362,26.399,26.807,21.657,19.919,19.166,14.051,12.321,12.228,12.174,12.108,12.025,11.979,11.911,11.834,11.771,11.678,11.617,11.538,11.458,11.401,11.340,11.239,11.179,11.085,11.042,10.954,10.864,10.817,10.752,10.675,10.576,10.504,10.441,10.355,10.289,10.224,10.121,10.070,9.989,9.932,9.858,9.765,9.686,9.609,9.517,9.466,9.390,9.294,9.234,9.148,9.078,8.976,8.918,8.836
2025-10-08 00:00:00
2025-10-08 00:06:51
8.758,8.684,8.607,8.512,8.437,8.364,8.294,8.186,8.113,8.022,7.972,7.877,7.798,7.710,7.626,7.536,7.458,7.389,7.294,7.214,7.139,7.060,6.976,6.877,6.819,6.701,6.640,6.564,6.471,6.379,6.288,6.214,6.123,6.048,5.946,5.871,5.796,5.688,5.625,5.540,5.436,5.358,5.259,5.160,5.098,4.997,4.939,4.832,4.735,4.643,4.559,4.494,4.382,4.291,4.207,4.128,4.041,3.928,3.835,3.774,3.667,3.594,3.502,3.419,3.308,3.229,3.124,3.037,2.948,2.827,2.766,2.668,2.544,2.485,2.391,2.293,2.195,2.087,2.012,1.904,1.835,1.729,1.631,1.532,1.426,1.337,1.261,1.167,1.062,0.974,0.877,0.770,0.679,0.593,0.506,0.405,0.284,0.214,0.101,0.000
2025-10-08 00:06:52
2025-10-08 00:08:31
,
100
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the speed of the ship over the next 100 seconds, from 2025-10-08 00:06:52 to 2025-10-08 00:08:31. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:06:51 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:01:14 to 2025-10-08 00:02:18 and 2025-10-08 00:05:18 to 2025-10-08 00:06:03 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
<history>25.019,25.003,25.015,25.027,25.008,24.994,24.992,25.012,24.989,24.989,24.986,25.023,25.019,24.990,24.984,24.989,24.974,24.983,24.978,24.958,24.975,24.969,24.953,24.958,24.974,24.965,24.943,24.942,24.922,24.918,24.915,24.934,24.923,24.911,24.891,24.884,24.880,24.857,24.856,24.859,24.868,24.860,24.834,24.833,24.818,24.811,24.824,24.810,24.770,24.794,24.768,24.754,24.731,24.741,24.729,24.726,24.726,24.708,24.688,24.680,24.671,24.659,24.643,24.641,24.608,24.615,24.611,24.601,24.566,24.551,24.544,24.534,24.524,24.512,24.459,24.463,27.379,30.289,33.190,36.061,38.936,41.779,44.571,47.361,50.130,52.804,55.495,58.084,60.651,63.165,65.621,67.993,70.324,72.556,74.719,76.825,78.827,80.769,82.583,84.335,85.972,87.536,89.003,90.365,91.607,92.763,93.824,94.761,95.594,96.314,96.883,97.397,97.784,98.040,98.214,98.181,98.131,81.431,81.013,92.955,88.085,88.559,69.963,65.462,80.709,51.115,48.518,47.573,43.002,48.898,35.504,36.878,46.795,43.965,55.990,26.419,22.165,37.431,18.035,23.146,23.145,23.118,23.070,23.045,23.015,23.007,22.985,22.956,22.914,22.878,22.861,22.837,22.809,22.785,22.735,22.712,22.682,22.665,22.617,22.575,22.559,22.541,22.488,22.473,22.428,22.398,22.358,22.338,22.320,22.278,22.243,22.205,22.161,22.135,22.102,22.076,22.048,22.013,21.959,21.948,21.910,21.866,21.840,21.792,21.764,21.720,21.708,21.683,21.637,21.600,21.538,21.520,21.468,21.454,21.412,21.357,21.330,21.302,21.243,21.225,21.183,21.136,21.100,21.068,21.044,20.993,20.953,20.925,20.860,20.835,20.784,20.764,20.715,20.691,20.623,20.582,20.539,20.507,20.461,20.437,20.370,20.327,20.296,20.258,20.199,20.161,20.137,20.064,20.037,19.985,19.954,19.903,19.864,19.817,19.762,19.730,19.689,19.625,19.573,19.514,19.486,19.489,19.379,19.344,19.300,19.251,19.216,19.176,19.117,19.070,19.023,18.978,18.935,18.869,18.821,18.771,18.758,18.696,18.634,18.584,18.544,18.493,18.447,18.385,18.313,18.305,18.229,18.179,18.124,18.081,18.023,17.953,17.907,17.857,17.838,17.744,17.731,17.678,17.601,17.548,17.490,17.443,17.398,17.357,17.269,17.222,17.189,17.112,17.069,17.016,16.948,16.885,16.847,16.776,16.738,16.672,16.616,16.572,16.497,16.434,16.394,16.331,16.266,16.207,16.151,16.100,16.049,15.999,15.943,15.873,15.814,15.747,15.699,15.628,15.587,15.494,15.428,15.391,15.338,15.253,17.130,18.934,20.651,22.346,23.934,25.492,26.971,28.396,29.736,31.039,32.262,33.432,34.547,35.584,36.560,37.464,38.328,39.095,39.831,40.480,41.096,41.613,42.083,42.490,42.842,43.111,43.338,43.489,43.574,43.622,43.539,43.492,43.395,45.001,37.735,34.861,35.414,28.362,26.399,26.807,21.657,19.919,19.166,14.051,12.321,12.228,12.174,12.108,12.025,11.979,11.911,11.834,11.771,11.678,11.617,11.538,11.458,11.401,11.340,11.239,11.179,11.085,11.042,10.954,10.864,10.817,10.752,10.675,10.576,10.504,10.441,10.355,10.289,10.224,10.121,10.070,9.989,9.932,9.858,9.765,9.686,9.609,9.517,9.466,9.390,9.294,9.234,9.148,9.078,8.976,8.918,8.836</history> This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:06:51 and the frequency of recording is second (S). Due to sensors errors, readings from the periods of 2025-10-08 00:01:14 to 2025-10-08 00:02:18 and 2025-10-08 00:05:18 to 2025-10-08 00:06:03 were unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop. Predict the speed of the ship over the next 100 seconds, from 2025-10-08 00:06:52 to 2025-10-08 00:08:31. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_implicit/template0/item1
GIFT synthesize
anomaly
S
9.803,9.726,9.650,9.574,9.499,9.424,9.349,9.274,9.200,9.126,9.052,8.979,8.905,8.833,8.760,8.688,8.616,8.544,8.473,8.402,8.331,8.261,8.190,8.121,8.051,7.982,7.913,7.844,7.776,7.708,7.640,7.573,7.505,7.439,7.372,7.306,7.240,7.174,7.108,7.044,6.979,6.914,6.850,6.900,7.177,7.683,8.415,9.376,10.564,11.980,13.623,15.495,17.593,19.920,22.474,25.256,28.265,31.502,34.967,34.908,34.849,34.791,31.888,29.131,26.521,24.056,21.738,19.566,17.541,15.661,13.928,12.341,10.899,9.605,8.456,7.453,6.597,5.887,5.323,4.905,4.633,4.581,4.529,4.477,4.425,4.374,4.323,4.272,4.222,4.171,4.122,4.072,4.023,3.974,3.925,3.877,3.829,3.782,3.734,5.005,5.727,4.954,3.721,4.902,3.230,4.453,2.337,5.812,4.586,2.779,4.374,2.733,3.876,5.277,1.000,1.957,3.378,4.665,1.512,4.634,1.669,1.492,2.479,0.882,4.444,0.906,3.905,3.317,1.097,4.667,4.634,1.155,2.778,1.868,2.236,4.100,2.154,2.118,2.083,2.048,2.012,1.978,1.944,1.910,1.876,1.843,1.810,1.777,1.744,1.712,1.680,1.649,1.618,1.587,1.556,1.526,1.496,1.466,1.436,1.407,1.378,1.350,1.322,1.294,1.266,1.239,1.212,1.185,1.158,1.132,1.106,1.081,1.055,1.030,1.006,0.981,0.957,0.933,0.910,0.887,0.864,0.841,0.819,0.797,0.775,0.754,0.733,0.712,0.692,0.671,0.651,0.632,0.612,0.594,0.575,0.557,0.538,0.521,0.503,0.486,0.469,0.452,0.436,0.420,0.404,0.389
2025-10-08 00:00:00
2025-10-08 00:03:25
0.374,0.359,0.344,0.330,0.316,0.303,0.290,0.276,0.264,0.251,0.239,0.227,0.216,0.205,0.194,0.183,0.173,0.163,0.153,0.144,0.135,0.126,0.117,0.109,0.101,0.093,0.086,0.079,0.072,0.066,0.060,0.054,0.048,0.043,0.038,0.033,0.029,0.025,0.021,0.018,0.015,0.012,0.009,0.007,0.005,0.004,0.002,0.001,0.000,0.000
2025-10-08 00:03:26
2025-10-08 00:04:15
,
50
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
<history>9.803,9.726,9.650,9.574,9.499,9.424,9.349,9.274,9.200,9.126,9.052,8.979,8.905,8.833,8.760,8.688,8.616,8.544,8.473,8.402,8.331,8.261,8.190,8.121,8.051,7.982,7.913,7.844,7.776,7.708,7.640,7.573,7.505,7.439,7.372,7.306,7.240,7.174,7.108,7.044,6.979,6.914,6.850,6.900,7.177,7.683,8.415,9.376,10.564,11.980,13.623,15.495,17.593,19.920,22.474,25.256,28.265,31.502,34.967,34.908,34.849,34.791,31.888,29.131,26.521,24.056,21.738,19.566,17.541,15.661,13.928,12.341,10.899,9.605,8.456,7.453,6.597,5.887,5.323,4.905,4.633,4.581,4.529,4.477,4.425,4.374,4.323,4.272,4.222,4.171,4.122,4.072,4.023,3.974,3.925,3.877,3.829,3.782,3.734,5.005,5.727,4.954,3.721,4.902,3.230,4.453,2.337,5.812,4.586,2.779,4.374,2.733,3.876,5.277,1.000,1.957,3.378,4.665,1.512,4.634,1.669,1.492,2.479,0.882,4.444,0.906,3.905,3.317,1.097,4.667,4.634,1.155,2.778,1.868,2.236,4.100,2.154,2.118,2.083,2.048,2.012,1.978,1.944,1.910,1.876,1.843,1.810,1.777,1.744,1.712,1.680,1.649,1.618,1.587,1.556,1.526,1.496,1.466,1.436,1.407,1.378,1.350,1.322,1.294,1.266,1.239,1.212,1.185,1.158,1.132,1.106,1.081,1.055,1.030,1.006,0.981,0.957,0.933,0.910,0.887,0.864,0.841,0.819,0.797,0.775,0.754,0.733,0.712,0.692,0.671,0.651,0.632,0.612,0.594,0.575,0.557,0.538,0.521,0.503,0.486,0.469,0.452,0.436,0.420,0.404,0.389</history> This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop. Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_implicit/template1/item1
GIFT synthesize
anomaly
S
14.855,14.855,14.852,14.854,14.850,14.849,14.846,14.843,14.839,14.835,14.830,14.827,14.821,7.059,22.881,26.085,9.680,2.817,6.463,11.880,11.110,27.974,22.310,17.379,20.249,2.389,1.111,9.652,14.676,14.660,14.648,14.636,14.620,14.605,14.591,14.576,14.558,14.542,14.521,14.508,14.489,14.469,14.451,14.434,14.411,14.391,14.370,14.350,14.328,14.308,14.284,14.259,14.236,14.212,14.189,14.163,14.139,14.110,14.086,14.059,14.031,14.005,13.975,13.948,13.918,13.889,13.861,13.829,13.797,13.768,13.735,13.704,13.669,13.637,13.603,13.570,13.535,13.500,13.465,13.429,13.392,13.356,13.318,13.280,13.243,13.205,13.164,13.123,13.085,13.044,13.004,12.962,12.922,12.879,12.837,12.794,12.749,12.705,12.661,12.615,12.570,12.524,12.478,12.430,12.384,12.335,21.203,17.547,0.434,13.251,15.351,20.634,4.553,23.944,21.560,3.747,16.482,14.936,15.870,16.784,12.966,20.042,6.240,14.929,18.747,22.234,7.984,8.549,2.664,3.317,4.427,0.000,16.452,9.919,5.373,9.509,4.571,14.456,19.951,7.129,3.475,10.314,10.247,10.184,10.117,10.050,9.985,9.919,9.850,9.783,9.715,9.646,9.575,9.506,9.437,9.366,9.295,9.222,9.151,9.079,9.005,8.933,8.859,8.785,8.712,8.635,8.559,8.483,8.406,8.331,8.253,8.175,8.097,8.017,7.938,7.859,7.778,7.698,7.617,7.535,7.455,7.370,7.287,7.204,7.119,7.037,6.951,6.866,6.781,6.695,6.608,6.523,6.433,6.344,6.257,6.169,6.078,5.990,5.898,5.808,5.717,5.626,5.534,5.440,5.349,5.254
2025-10-08 00:00:00
2025-10-08 00:03:25
5.160,5.067,4.971,4.878,4.780,4.683,4.590,4.491,4.394,4.294,4.197,4.097,4.000,3.900,3.797,3.698,3.598,3.494,3.393,3.289,3.187,3.084,2.980,2.876,2.770,2.665,2.561,2.453,2.346,2.242,2.132,2.026,1.916,1.806,1.699,1.587,1.478,1.365,1.255,1.142,1.032,0.920,0.806,0.692,0.577,0.464,0.348,0.234,0.115,0.000
2025-10-08 00:03:26
2025-10-08 00:04:15
,
50
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
<history>14.855,14.855,14.852,14.854,14.850,14.849,14.846,14.843,14.839,14.835,14.830,14.827,14.821,7.059,22.881,26.085,9.680,2.817,6.463,11.880,11.110,27.974,22.310,17.379,20.249,2.389,1.111,9.652,14.676,14.660,14.648,14.636,14.620,14.605,14.591,14.576,14.558,14.542,14.521,14.508,14.489,14.469,14.451,14.434,14.411,14.391,14.370,14.350,14.328,14.308,14.284,14.259,14.236,14.212,14.189,14.163,14.139,14.110,14.086,14.059,14.031,14.005,13.975,13.948,13.918,13.889,13.861,13.829,13.797,13.768,13.735,13.704,13.669,13.637,13.603,13.570,13.535,13.500,13.465,13.429,13.392,13.356,13.318,13.280,13.243,13.205,13.164,13.123,13.085,13.044,13.004,12.962,12.922,12.879,12.837,12.794,12.749,12.705,12.661,12.615,12.570,12.524,12.478,12.430,12.384,12.335,21.203,17.547,0.434,13.251,15.351,20.634,4.553,23.944,21.560,3.747,16.482,14.936,15.870,16.784,12.966,20.042,6.240,14.929,18.747,22.234,7.984,8.549,2.664,3.317,4.427,0.000,16.452,9.919,5.373,9.509,4.571,14.456,19.951,7.129,3.475,10.314,10.247,10.184,10.117,10.050,9.985,9.919,9.850,9.783,9.715,9.646,9.575,9.506,9.437,9.366,9.295,9.222,9.151,9.079,9.005,8.933,8.859,8.785,8.712,8.635,8.559,8.483,8.406,8.331,8.253,8.175,8.097,8.017,7.938,7.859,7.778,7.698,7.617,7.535,7.455,7.370,7.287,7.204,7.119,7.037,6.951,6.866,6.781,6.695,6.608,6.523,6.433,6.344,6.257,6.169,6.078,5.990,5.898,5.808,5.717,5.626,5.534,5.440,5.349,5.254</history> This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:03:25 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop. Predict the speed of the ship over the next 50 seconds, from 2025-10-08 00:03:26 to 2025-10-08 00:04:15. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_implicit/template2/item1
GIFT synthesize
anomaly
S
24.725,24.629,24.526,24.426,24.337,24.218,24.109,24.021,23.911,23.815,23.710,23.624,23.511,23.406,23.314,23.203,23.104,23.003,22.913,22.793,22.701,22.610,22.509,22.399,22.299,22.218,22.109,22.002,14.159,30.600,25.329,20.132,17.209,14.623,30.874,13.204,26.293,19.704,24.976,18.480,14.477,27.958,12.967,14.644,26.280,27.945,13.022,11.870,24.124,20.013,20.002,21.806,26.665,22.393,19.018,23.527,28.762,24.190,22.647,10.683,18.696,24.388,26.039,18.544,11.664,10.121,13.860,10.369,9.368,16.709,14.839,12.872,26.969,7.187,21.460,26.551,16.977,24.150,19.540,10.874,17.890,19.824,17.733,20.864,18.744,16.305,16.205,16.111,16.037,15.935,15.847,15.740,15.637,15.554,15.449,15.370,15.272,15.175,15.085,14.992,14.900,14.808,14.698,14.627,14.528,14.434,14.339,14.243,14.156,14.067,13.979,13.880,13.803,13.692,13.611,13.521,13.436,13.344,13.267,13.163,16.811,20.454,24.033,27.617,31.146,34.606,38.003,41.341,44.542,47.699,50.696,53.592,56.360,58.979,61.460,63.763,65.937,67.925,69.737,71.357,72.808,74.029,75.097,75.940,76.588,77.023,77.266,77.166,77.085,77.002,76.664,75.815,74.422,72.516,70.099,67.169,63.713,59.742,55.262,50.254,44.714,38.668,32.112,25.013,17.404,9.280,9.202,9.120,9.054,8.968,8.893,8.812,8.747,8.665,8.574,8.498,8.434,8.344,8.283,8.203,8.138,8.057,7.970,7.898,7.830,7.747,7.693,7.616,7.538,7.461,7.394,7.326,7.233,7.179,7.099,7.051,6.970,6.888,6.827,6.759,6.677,6.620,6.553,6.471,6.416,6.337,6.290,6.205,6.138,6.069,6.031,5.947,5.872,5.812,5.749,5.686,5.635,5.555,5.488,5.419,5.379,5.309,5.232,5.182,5.119,5.056,5.000,4.924,4.865,4.808,4.751,4.698,4.649,4.571,4.512,4.450,4.391,4.346,4.293,4.239,4.184,4.129,4.066,4.013,3.954,3.903,3.856,3.787,3.746,3.678,3.622,3.591,3.529,3.486,3.439,3.379,3.321,3.269,3.222,3.182,3.112,3.082,3.019,2.971
2025-10-08 00:00:00
2025-10-08 00:04:23
2.932,2.894,2.843,2.792,2.735,2.688,2.661,2.611,2.559,2.499,2.484,2.427,2.389,2.355,2.291,2.263,2.205,2.160,2.132,2.088,2.053,2.019,1.974,1.941,1.908,1.847,1.797,1.774,1.743,1.705,1.668,1.636,1.596,1.552,1.532,1.489,1.462,1.415,1.363,1.355,1.330,1.300,1.262,1.230,1.203,1.165,1.141,1.110,1.086,1.029,1.015,1.008,0.969,0.925,0.901,0.869,0.855,0.834,0.794,0.780,0.759,0.725,0.701,0.677,0.653,0.625,0.614,0.590,0.573,0.547,0.541,0.508,0.499,0.468,0.449,0.419,0.409,0.397,0.368,0.370,0.355,0.321,0.308,0.300,0.267,0.257,0.265,0.245,0.221,0.201,0.197,0.177,0.176,0.158,0.143,0.153,0.145,0.103,0.123,0.095,0.097,0.089,0.085,0.071,0.061,0.052,0.043,0.045,0.039,0.050,0.043,0.035,0.026,0.038,0.023,0.000,0.002,0.018,0.016,0.006
2025-10-08 00:04:24
2025-10-08 00:06:23
,
120
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
<history>24.725,24.629,24.526,24.426,24.337,24.218,24.109,24.021,23.911,23.815,23.710,23.624,23.511,23.406,23.314,23.203,23.104,23.003,22.913,22.793,22.701,22.610,22.509,22.399,22.299,22.218,22.109,22.002,14.159,30.600,25.329,20.132,17.209,14.623,30.874,13.204,26.293,19.704,24.976,18.480,14.477,27.958,12.967,14.644,26.280,27.945,13.022,11.870,24.124,20.013,20.002,21.806,26.665,22.393,19.018,23.527,28.762,24.190,22.647,10.683,18.696,24.388,26.039,18.544,11.664,10.121,13.860,10.369,9.368,16.709,14.839,12.872,26.969,7.187,21.460,26.551,16.977,24.150,19.540,10.874,17.890,19.824,17.733,20.864,18.744,16.305,16.205,16.111,16.037,15.935,15.847,15.740,15.637,15.554,15.449,15.370,15.272,15.175,15.085,14.992,14.900,14.808,14.698,14.627,14.528,14.434,14.339,14.243,14.156,14.067,13.979,13.880,13.803,13.692,13.611,13.521,13.436,13.344,13.267,13.163,16.811,20.454,24.033,27.617,31.146,34.606,38.003,41.341,44.542,47.699,50.696,53.592,56.360,58.979,61.460,63.763,65.937,67.925,69.737,71.357,72.808,74.029,75.097,75.940,76.588,77.023,77.266,77.166,77.085,77.002,76.664,75.815,74.422,72.516,70.099,67.169,63.713,59.742,55.262,50.254,44.714,38.668,32.112,25.013,17.404,9.280,9.202,9.120,9.054,8.968,8.893,8.812,8.747,8.665,8.574,8.498,8.434,8.344,8.283,8.203,8.138,8.057,7.970,7.898,7.830,7.747,7.693,7.616,7.538,7.461,7.394,7.326,7.233,7.179,7.099,7.051,6.970,6.888,6.827,6.759,6.677,6.620,6.553,6.471,6.416,6.337,6.290,6.205,6.138,6.069,6.031,5.947,5.872,5.812,5.749,5.686,5.635,5.555,5.488,5.419,5.379,5.309,5.232,5.182,5.119,5.056,5.000,4.924,4.865,4.808,4.751,4.698,4.649,4.571,4.512,4.450,4.391,4.346,4.293,4.239,4.184,4.129,4.066,4.013,3.954,3.903,3.856,3.787,3.746,3.678,3.622,3.591,3.529,3.486,3.439,3.379,3.321,3.269,3.222,3.182,3.112,3.082,3.019,2.971</history> This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop. Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_implicit/template3/item1
GIFT synthesize
anomaly
S
22.601,22.519,22.425,22.331,22.232,22.142,22.063,21.965,21.873,21.780,21.690,21.597,21.497,21.414,21.320,21.231,21.141,21.042,20.936,20.854,20.767,20.671,20.574,20.483,20.395,20.303,20.215,20.115,20.028,19.934,19.848,19.751,19.660,19.565,19.482,19.398,19.289,19.204,19.110,19.021,18.924,18.826,18.752,18.641,18.564,18.476,18.380,18.293,18.206,18.100,18.021,17.930,17.837,17.751,17.662,17.564,17.477,17.394,17.293,17.215,15.643,27.336,25.704,15.489,12.100,14.781,15.831,8.938,5.327,7.005,12.275,4.933,17.804,13.465,22.758,12.824,17.632,24.760,12.520,12.714,22.731,12.261,13.934,4.537,15.932,20.078,7.407,19.517,16.936,25.231,19.351,8.309,11.820,17.989,14.882,11.265,5.191,13.874,13.791,13.707,13.610,13.535,13.453,13.367,13.278,13.200,13.107,13.031,12.949,12.863,12.777,12.688,12.610,12.528,12.447,12.361,12.287,12.197,12.107,12.031,11.959,11.870,11.791,11.717,11.628,11.536,11.461,11.389,11.321,11.222,11.144,11.073,10.992,10.914,10.826,10.763,10.682,10.582,10.518,10.444,10.364,10.274,10.198,10.125,10.044,9.966,9.902,9.815,9.740,9.670,9.590,9.525,9.438,9.374,9.298,9.213,9.139,9.068,8.997,8.914,8.843,8.784,8.699,8.634,8.557,8.479,8.411,8.345,8.272,8.194,8.123,8.057,7.989,7.910,7.849,7.789,7.707,7.622,7.566,7.502,7.431,7.365,7.297,7.220,7.156,7.085,7.025,6.954,6.890,6.819,6.756,6.699,6.631,6.562,6.499,6.422,6.360,6.298,6.236,6.173,6.108,6.039,5.997,5.912,5.852,5.796,2.400,1.985,5.949,3.084,4.475,5.211,7.499,3.461,5.221,6.426,2.779,1.666,3.565,2.855,4.498,7.674,4.788,4.730,4.677,4.622,4.558,4.507,4.445,4.398,4.347,4.291,4.229,4.180,4.123,4.072,4.018,3.962,3.905,3.861,3.806,3.767,3.706,3.651,3.617,3.561,3.513,3.461,3.412,3.360,3.314,3.271,3.211,3.162,3.124,3.077,3.032,2.986,2.943,2.898,2.845,2.806,2.762,2.718
2025-10-08 00:00:00
2025-10-08 00:04:23
2.678,2.627,2.585,2.547,2.500,2.455,2.410,2.373,2.329,2.285,2.257,2.214,2.172,2.126,2.093,2.056,2.015,1.976,1.942,1.904,1.862,1.831,1.796,1.757,1.718,1.689,1.652,1.622,1.582,1.549,1.509,1.485,1.439,1.428,1.385,1.349,1.327,1.298,1.262,1.233,1.195,1.177,1.144,1.113,1.085,1.056,1.031,1.001,0.972,0.944,0.925,0.902,0.871,0.851,0.826,0.795,0.766,0.750,0.720,0.703,0.694,0.663,0.641,0.613,0.587,0.570,0.556,0.523,0.514,0.485,0.475,0.454,0.439,0.420,0.401,0.385,0.369,0.344,0.341,0.319,0.304,0.292,0.275,0.259,0.246,0.231,0.228,0.204,0.201,0.176,0.172,0.165,0.146,0.136,0.122,0.130,0.106,0.098,0.108,0.083,0.069,0.070,0.073,0.059,0.047,0.040,0.046,0.035,0.023,0.021,0.018,0.013,0.018,0.009,0.008,0.011,0.003,0.006,0.000,0.007
2025-10-08 00:04:24
2025-10-08 00:06:23
,
120
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
<history>22.601,22.519,22.425,22.331,22.232,22.142,22.063,21.965,21.873,21.780,21.690,21.597,21.497,21.414,21.320,21.231,21.141,21.042,20.936,20.854,20.767,20.671,20.574,20.483,20.395,20.303,20.215,20.115,20.028,19.934,19.848,19.751,19.660,19.565,19.482,19.398,19.289,19.204,19.110,19.021,18.924,18.826,18.752,18.641,18.564,18.476,18.380,18.293,18.206,18.100,18.021,17.930,17.837,17.751,17.662,17.564,17.477,17.394,17.293,17.215,15.643,27.336,25.704,15.489,12.100,14.781,15.831,8.938,5.327,7.005,12.275,4.933,17.804,13.465,22.758,12.824,17.632,24.760,12.520,12.714,22.731,12.261,13.934,4.537,15.932,20.078,7.407,19.517,16.936,25.231,19.351,8.309,11.820,17.989,14.882,11.265,5.191,13.874,13.791,13.707,13.610,13.535,13.453,13.367,13.278,13.200,13.107,13.031,12.949,12.863,12.777,12.688,12.610,12.528,12.447,12.361,12.287,12.197,12.107,12.031,11.959,11.870,11.791,11.717,11.628,11.536,11.461,11.389,11.321,11.222,11.144,11.073,10.992,10.914,10.826,10.763,10.682,10.582,10.518,10.444,10.364,10.274,10.198,10.125,10.044,9.966,9.902,9.815,9.740,9.670,9.590,9.525,9.438,9.374,9.298,9.213,9.139,9.068,8.997,8.914,8.843,8.784,8.699,8.634,8.557,8.479,8.411,8.345,8.272,8.194,8.123,8.057,7.989,7.910,7.849,7.789,7.707,7.622,7.566,7.502,7.431,7.365,7.297,7.220,7.156,7.085,7.025,6.954,6.890,6.819,6.756,6.699,6.631,6.562,6.499,6.422,6.360,6.298,6.236,6.173,6.108,6.039,5.997,5.912,5.852,5.796,2.400,1.985,5.949,3.084,4.475,5.211,7.499,3.461,5.221,6.426,2.779,1.666,3.565,2.855,4.498,7.674,4.788,4.730,4.677,4.622,4.558,4.507,4.445,4.398,4.347,4.291,4.229,4.180,4.123,4.072,4.018,3.962,3.905,3.861,3.806,3.767,3.706,3.651,3.617,3.561,3.513,3.461,3.412,3.360,3.314,3.271,3.211,3.162,3.124,3.077,3.032,2.986,2.943,2.898,2.845,2.806,2.762,2.718</history> This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:04:23 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop. Predict the speed of the ship over the next 120 seconds, from 2025-10-08 00:04:24 to 2025-10-08 00:06:23. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
anomaly_implicit/template4/item1
GIFT synthesize
anomaly
S
25.019,25.003,25.015,25.027,25.008,24.994,24.992,25.012,24.989,24.989,24.986,25.023,25.019,24.990,24.984,24.989,24.974,24.983,24.978,24.958,24.975,24.969,24.953,24.958,24.974,24.965,24.943,24.942,24.922,24.918,24.915,24.934,24.923,24.911,24.891,24.884,24.880,24.857,24.856,24.859,24.868,24.860,24.834,24.833,24.818,24.811,24.824,24.810,24.770,24.794,24.768,24.754,24.731,24.741,24.729,24.726,24.726,24.708,24.688,24.680,24.671,24.659,24.643,24.641,24.608,24.615,24.611,24.601,24.566,24.551,24.544,24.534,24.524,24.512,24.459,24.463,27.379,30.289,33.190,36.061,38.936,41.779,44.571,47.361,50.130,52.804,55.495,58.084,60.651,63.165,65.621,67.993,70.324,72.556,74.719,76.825,78.827,80.769,82.583,84.335,85.972,87.536,89.003,90.365,91.607,92.763,93.824,94.761,95.594,96.314,96.883,97.397,97.784,98.040,98.214,98.181,98.131,81.431,81.013,92.955,88.085,88.559,69.963,65.462,80.709,51.115,48.518,47.573,43.002,48.898,35.504,36.878,46.795,43.965,55.990,26.419,22.165,37.431,18.035,23.146,23.145,23.118,23.070,23.045,23.015,23.007,22.985,22.956,22.914,22.878,22.861,22.837,22.809,22.785,22.735,22.712,22.682,22.665,22.617,22.575,22.559,22.541,22.488,22.473,22.428,22.398,22.358,22.338,22.320,22.278,22.243,22.205,22.161,22.135,22.102,22.076,22.048,22.013,21.959,21.948,21.910,21.866,21.840,21.792,21.764,21.720,21.708,21.683,21.637,21.600,21.538,21.520,21.468,21.454,21.412,21.357,21.330,21.302,21.243,21.225,21.183,21.136,21.100,21.068,21.044,20.993,20.953,20.925,20.860,20.835,20.784,20.764,20.715,20.691,20.623,20.582,20.539,20.507,20.461,20.437,20.370,20.327,20.296,20.258,20.199,20.161,20.137,20.064,20.037,19.985,19.954,19.903,19.864,19.817,19.762,19.730,19.689,19.625,19.573,19.514,19.486,19.489,19.379,19.344,19.300,19.251,19.216,19.176,19.117,19.070,19.023,18.978,18.935,18.869,18.821,18.771,18.758,18.696,18.634,18.584,18.544,18.493,18.447,18.385,18.313,18.305,18.229,18.179,18.124,18.081,18.023,17.953,17.907,17.857,17.838,17.744,17.731,17.678,17.601,17.548,17.490,17.443,17.398,17.357,17.269,17.222,17.189,17.112,17.069,17.016,16.948,16.885,16.847,16.776,16.738,16.672,16.616,16.572,16.497,16.434,16.394,16.331,16.266,16.207,16.151,16.100,16.049,15.999,15.943,15.873,15.814,15.747,15.699,15.628,15.587,15.494,15.428,15.391,15.338,15.253,17.130,18.934,20.651,22.346,23.934,25.492,26.971,28.396,29.736,31.039,32.262,33.432,34.547,35.584,36.560,37.464,38.328,39.095,39.831,40.480,41.096,41.613,42.083,42.490,42.842,43.111,43.338,43.489,43.574,43.622,43.539,43.492,43.395,45.001,37.735,34.861,35.414,28.362,26.399,26.807,21.657,19.919,19.166,14.051,12.321,12.228,12.174,12.108,12.025,11.979,11.911,11.834,11.771,11.678,11.617,11.538,11.458,11.401,11.340,11.239,11.179,11.085,11.042,10.954,10.864,10.817,10.752,10.675,10.576,10.504,10.441,10.355,10.289,10.224,10.121,10.070,9.989,9.932,9.858,9.765,9.686,9.609,9.517,9.466,9.390,9.294,9.234,9.148,9.078,8.976,8.918,8.836
2025-10-08 00:00:00
2025-10-08 00:06:51
8.758,8.684,8.607,8.512,8.437,8.364,8.294,8.186,8.113,8.022,7.972,7.877,7.798,7.710,7.626,7.536,7.458,7.389,7.294,7.214,7.139,7.060,6.976,6.877,6.819,6.701,6.640,6.564,6.471,6.379,6.288,6.214,6.123,6.048,5.946,5.871,5.796,5.688,5.625,5.540,5.436,5.358,5.259,5.160,5.098,4.997,4.939,4.832,4.735,4.643,4.559,4.494,4.382,4.291,4.207,4.128,4.041,3.928,3.835,3.774,3.667,3.594,3.502,3.419,3.308,3.229,3.124,3.037,2.948,2.827,2.766,2.668,2.544,2.485,2.391,2.293,2.195,2.087,2.012,1.904,1.835,1.729,1.631,1.532,1.426,1.337,1.261,1.167,1.062,0.974,0.877,0.770,0.679,0.593,0.506,0.405,0.284,0.214,0.101,0.000
2025-10-08 00:06:52
2025-10-08 00:08:31
,
100
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Predict the speed of the ship over the next 100 seconds, from 2025-10-08 00:06:52 to 2025-10-08 00:08:31. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:06:51 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop.
<history>25.019,25.003,25.015,25.027,25.008,24.994,24.992,25.012,24.989,24.989,24.986,25.023,25.019,24.990,24.984,24.989,24.974,24.983,24.978,24.958,24.975,24.969,24.953,24.958,24.974,24.965,24.943,24.942,24.922,24.918,24.915,24.934,24.923,24.911,24.891,24.884,24.880,24.857,24.856,24.859,24.868,24.860,24.834,24.833,24.818,24.811,24.824,24.810,24.770,24.794,24.768,24.754,24.731,24.741,24.729,24.726,24.726,24.708,24.688,24.680,24.671,24.659,24.643,24.641,24.608,24.615,24.611,24.601,24.566,24.551,24.544,24.534,24.524,24.512,24.459,24.463,27.379,30.289,33.190,36.061,38.936,41.779,44.571,47.361,50.130,52.804,55.495,58.084,60.651,63.165,65.621,67.993,70.324,72.556,74.719,76.825,78.827,80.769,82.583,84.335,85.972,87.536,89.003,90.365,91.607,92.763,93.824,94.761,95.594,96.314,96.883,97.397,97.784,98.040,98.214,98.181,98.131,81.431,81.013,92.955,88.085,88.559,69.963,65.462,80.709,51.115,48.518,47.573,43.002,48.898,35.504,36.878,46.795,43.965,55.990,26.419,22.165,37.431,18.035,23.146,23.145,23.118,23.070,23.045,23.015,23.007,22.985,22.956,22.914,22.878,22.861,22.837,22.809,22.785,22.735,22.712,22.682,22.665,22.617,22.575,22.559,22.541,22.488,22.473,22.428,22.398,22.358,22.338,22.320,22.278,22.243,22.205,22.161,22.135,22.102,22.076,22.048,22.013,21.959,21.948,21.910,21.866,21.840,21.792,21.764,21.720,21.708,21.683,21.637,21.600,21.538,21.520,21.468,21.454,21.412,21.357,21.330,21.302,21.243,21.225,21.183,21.136,21.100,21.068,21.044,20.993,20.953,20.925,20.860,20.835,20.784,20.764,20.715,20.691,20.623,20.582,20.539,20.507,20.461,20.437,20.370,20.327,20.296,20.258,20.199,20.161,20.137,20.064,20.037,19.985,19.954,19.903,19.864,19.817,19.762,19.730,19.689,19.625,19.573,19.514,19.486,19.489,19.379,19.344,19.300,19.251,19.216,19.176,19.117,19.070,19.023,18.978,18.935,18.869,18.821,18.771,18.758,18.696,18.634,18.584,18.544,18.493,18.447,18.385,18.313,18.305,18.229,18.179,18.124,18.081,18.023,17.953,17.907,17.857,17.838,17.744,17.731,17.678,17.601,17.548,17.490,17.443,17.398,17.357,17.269,17.222,17.189,17.112,17.069,17.016,16.948,16.885,16.847,16.776,16.738,16.672,16.616,16.572,16.497,16.434,16.394,16.331,16.266,16.207,16.151,16.100,16.049,15.999,15.943,15.873,15.814,15.747,15.699,15.628,15.587,15.494,15.428,15.391,15.338,15.253,17.130,18.934,20.651,22.346,23.934,25.492,26.971,28.396,29.736,31.039,32.262,33.432,34.547,35.584,36.560,37.464,38.328,39.095,39.831,40.480,41.096,41.613,42.083,42.490,42.842,43.111,43.338,43.489,43.574,43.622,43.539,43.492,43.395,45.001,37.735,34.861,35.414,28.362,26.399,26.807,21.657,19.919,19.166,14.051,12.321,12.228,12.174,12.108,12.025,11.979,11.911,11.834,11.771,11.678,11.617,11.538,11.458,11.401,11.340,11.239,11.179,11.085,11.042,10.954,10.864,10.817,10.752,10.675,10.576,10.504,10.441,10.355,10.289,10.224,10.121,10.070,9.989,9.932,9.858,9.765,9.686,9.609,9.517,9.466,9.390,9.294,9.234,9.148,9.078,8.976,8.918,8.836</history> This time series records the speed (knots) of a slowing down ship. The data was recorded from 2025-10-08 00:00:00 to 2025-10-08 00:06:51 and the frequency of recording is second (S). Due to sensors errors, some readings were noisy and unreliable. However, the ship is slowing down steadily and is expected to reach a complete stop. Predict the speed of the ship over the next 100 seconds, from 2025-10-08 00:06:52 to 2025-10-08 00:08:31. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
context_explicit/template0/item0
GIFT synthesize
phase_change
T
77.654,77.762,77.828,77.907,77.965,78.006,78.028,78.038,78.034,77.996,77.968,77.895,77.833,77.744,77.637,77.518,77.377,77.225,77.064,76.874,76.690,76.483,76.267,76.036,75.807,75.565,75.310,75.042,74.766,74.498,74.211,73.944,73.645,73.353,73.079,72.792,72.495,72.220,71.943,71.668,71.395,71.123,70.875,70.623,70.382,70.156,69.937,69.732,69.522,69.334,69.163,69.005,68.853,68.721,68.595,68.487,68.389,68.304,68.232,68.188,68.142,68.114,68.081,68.084,68.092,68.100,68.139,68.178,68.209,68.284,68.323,68.410,68.481,68.558,68.653,68.743,68.828,68.933,69.036,69.139,69.251,69.343,69.450,69.562,69.653,69.749,69.847,69.932,70.032,70.097,70.184,70.250,70.316,70.376,70.434,70.497,70.526,70.556,70.588,70.610,70.624,70.648,70.656,70.659,70.652,70.645,70.643,70.634,70.615,70.592,70.574,70.547,70.535,70.512,70.498,70.478,70.462,70.458,70.458,70.444,70.452,70.449,70.461,70.496,70.517,70.546,70.596,70.650,70.695,70.774,70.854,70.934,71.041,71.144,71.251,71.381,71.513,71.671,71.819,71.986,72.161,72.341,72.524,87.672,101.354,112.258,119.343,119.558,116.206,114.300,114.516,114.754,114.990,115.211,115.436,115.668,115.891,116.109,116.321,116.530,116.729,116.925,117.109,117.291,117.445,117.611,117.745,117.883,117.994,118.110,118.186,118.268,118.331,118.368,118.394,118.404,118.399,118.372,118.338,118.276,118.211,118.110,118.020,117.895,117.756,117.605,117.441,117.257,117.066,116.861,116.644,116.420,116.187,115.937,115.679,115.419,115.147,114.862,114.579,114.299,114.010,113.728,113.440,113.154,112.855,112.565,112.300,112.017,111.753,111.477,111.219,110.973,110.729,110.491,110.277,110.065,109.875,109.674,109.507,109.336,109.188,109.051,108.926,108.811,108.709,108.617,108.538,108.484,108.446,108.416,108.392,108.391,108.389,108.386,108.411,108.461,108.489,108.538,108.612,108.686,108.752,108.827,108.906,109.013,109.093,109.190,109.285,109.389,109.493,109.585,109.694,109.801,109.890,109.977,110.072,110.160,110.248,110.341,110.406,110.476,110.542,110.593,110.669,110.713,110.762,110.789,110.820,110.862,110.876,110.887,110.900,110.909,110.909,110.907,110.893,110.895,110.882,110.873,110.849,110.841,110.818,110.812,110.805,110.779,110.770,110.768,110.772,110.765,110.771,110.788,110.791,110.820,110.837,110.880,110.933,110.974,111.042,111.104,111.190,111.274,111.366,111.471,111.584,111.705,111.841,111.986,112.135,112.288,112.455,112.633,112.809,113.002,113.189,113.398,113.594,113.804,114.022,114.232,114.455,114.682,114.895,115.119,115.335,115.550,115.778,115.970,116.188,116.386,116.576,116.764,116.944,117.114,117.276,117.429,117.557,117.685,117.795,117.901,117.993,118.056,118.118,118.167,118.184,118.212,118.197,118.171,118.141,118.096,118.030,117.939,117.841,117.725,117.598,117.467,117.314,117.147,116.964,116.773,116.555,116.346,116.119,115.880,115.635,115.382,115.127,114.869,114.595,114.321,114.049,113.776,113.502,113.221,112.938,112.665,112.401,112.131,111.876,111.609,111.356,111.120,110.893,110.658,110.444,110.242,110.037,109.851,109.674,109.514,109.370,109.229,109.101,108.985
2025-10-08 00:00:00
2025-10-08 06:31:00
108.888,108.801,108.730,108.669,108.616,108.575,108.554,108.537,108.520,108.537,108.556,108.596,108.620,108.669,108.724,108.789,108.847,108.926,109.006,109.092,109.181,109.265,109.357,109.459,109.555,109.651,109.753,109.842,109.933,110.025,110.119,110.208,110.283,110.365,110.448,110.520,110.592,110.629,110.694,110.750,110.796,110.829,110.868,110.905,110.916,110.935,110.944,110.969,110.961,110.968,110.950,110.946,110.955,110.929,110.920,110.900,110.889,110.872,110.863,110.841,110.840,110.821,110.826,110.822,110.825,110.829,110.834,110.856,110.889,110.913,110.953,110.988,111.051,111.121,111.186,111.253,111.348,111.437,111.542,111.661,111.788,111.912,112.061,112.215,112.371,112.541,112.722,112.890,113.073,113.273,113.455,113.662,113.878,114.090,114.301,114.516,114.732,114.951,115.171,115.384,115.595,115.807,116.012,116.212,116.401,116.585,116.767,116.940,117.101,117.260,117.391,117.515,117.645,117.746,117.833,117.915,117.991,118.028,118.073,118.085
2025-10-08 06:32:00
2025-10-08 08:31:00
,
120
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Forecast the traffic in the next 60 minutes, from 2025-10-08 06:32:00 to 2025-10-08 07:31:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 06:31:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-08 02:21:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
<history>77.654,77.762,77.828,77.907,77.965,78.006,78.028,78.038,78.034,77.996,77.968,77.895,77.833,77.744,77.637,77.518,77.377,77.225,77.064,76.874,76.690,76.483,76.267,76.036,75.807,75.565,75.310,75.042,74.766,74.498,74.211,73.944,73.645,73.353,73.079,72.792,72.495,72.220,71.943,71.668,71.395,71.123,70.875,70.623,70.382,70.156,69.937,69.732,69.522,69.334,69.163,69.005,68.853,68.721,68.595,68.487,68.389,68.304,68.232,68.188,68.142,68.114,68.081,68.084,68.092,68.100,68.139,68.178,68.209,68.284,68.323,68.410,68.481,68.558,68.653,68.743,68.828,68.933,69.036,69.139,69.251,69.343,69.450,69.562,69.653,69.749,69.847,69.932,70.032,70.097,70.184,70.250,70.316,70.376,70.434,70.497,70.526,70.556,70.588,70.610,70.624,70.648,70.656,70.659,70.652,70.645,70.643,70.634,70.615,70.592,70.574,70.547,70.535,70.512,70.498,70.478,70.462,70.458,70.458,70.444,70.452,70.449,70.461,70.496,70.517,70.546,70.596,70.650,70.695,70.774,70.854,70.934,71.041,71.144,71.251,71.381,71.513,71.671,71.819,71.986,72.161,72.341,72.524,87.672,101.354,112.258,119.343,119.558,116.206,114.300,114.516,114.754,114.990,115.211,115.436,115.668,115.891,116.109,116.321,116.530,116.729,116.925,117.109,117.291,117.445,117.611,117.745,117.883,117.994,118.110,118.186,118.268,118.331,118.368,118.394,118.404,118.399,118.372,118.338,118.276,118.211,118.110,118.020,117.895,117.756,117.605,117.441,117.257,117.066,116.861,116.644,116.420,116.187,115.937,115.679,115.419,115.147,114.862,114.579,114.299,114.010,113.728,113.440,113.154,112.855,112.565,112.300,112.017,111.753,111.477,111.219,110.973,110.729,110.491,110.277,110.065,109.875,109.674,109.507,109.336,109.188,109.051,108.926,108.811,108.709,108.617,108.538,108.484,108.446,108.416,108.392,108.391,108.389,108.386,108.411,108.461,108.489,108.538,108.612,108.686,108.752,108.827,108.906,109.013,109.093,109.190,109.285,109.389,109.493,109.585,109.694,109.801,109.890,109.977,110.072,110.160,110.248,110.341,110.406,110.476,110.542,110.593,110.669,110.713,110.762,110.789,110.820,110.862,110.876,110.887,110.900,110.909,110.909,110.907,110.893,110.895,110.882,110.873,110.849,110.841,110.818,110.812,110.805,110.779,110.770,110.768,110.772,110.765,110.771,110.788,110.791,110.820,110.837,110.880,110.933,110.974,111.042,111.104,111.190,111.274,111.366,111.471,111.584,111.705,111.841,111.986,112.135,112.288,112.455,112.633,112.809,113.002,113.189,113.398,113.594,113.804,114.022,114.232,114.455,114.682,114.895,115.119,115.335,115.550,115.778,115.970,116.188,116.386,116.576,116.764,116.944,117.114,117.276,117.429,117.557,117.685,117.795,117.901,117.993,118.056,118.118,118.167,118.184,118.212,118.197,118.171,118.141,118.096,118.030,117.939,117.841,117.725,117.598,117.467,117.314,117.147,116.964,116.773,116.555,116.346,116.119,115.880,115.635,115.382,115.127,114.869,114.595,114.321,114.049,113.776,113.502,113.221,112.938,112.665,112.401,112.131,111.876,111.609,111.356,111.120,110.893,110.658,110.444,110.242,110.037,109.851,109.674,109.514,109.370,109.229,109.101,108.985</history> This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 06:31:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-08 02:21:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event. Forecast the traffic in the next 120 minutes, from 2025-10-08 06:32:00 to 2025-10-08 08:31:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
context_explicit/template1/item0
GIFT synthesize
phase_change
T
68.053,68.926,69.960,70.767,71.759,72.654,73.574,74.416,75.519,76.349,77.080,78.196,79.100,79.992,80.814,81.800,82.737,83.573,84.510,77.766,91.244,80.127,90.677,92.271,118.547,112.877,131.736,129.781,163.114,171.774,172.543,173.655,174.529,175.434,176.341,177.292,178.193,178.956,179.852,180.755,181.665,182.599,183.391,184.362,185.161,185.972,186.982,188.023,188.751,189.677,190.609,191.363,192.185,193.017,194.081,194.813,195.660,196.618,197.472,198.321,199.115,199.987,200.867,201.706,202.492,203.389,204.233,205.065,205.884,206.765,207.558,208.445,209.168,210.041,210.928,211.502,212.541,213.374,214.210,215.054,215.920,216.675,217.372,218.154,219.086,219.842,220.577,221.269,222.091,223.012,223.723,224.497,225.222,226.035,226.882,227.598,228.228,229.230,229.923,230.639,231.376,232.020,232.745,233.708,234.445,235.082,235.827,236.471,237.373,237.921,238.686,239.338,240.199,240.875,241.477,242.133,243.019,243.582,244.249,245.062,245.747,246.318,246.999,247.650,248.458,249.003,249.784,250.327,250.741,251.701,252.370,253.007,253.594,254.275,254.917,255.459,256.005,256.710,257.281,257.881,258.330,259.029,259.742,260.279,260.835,261.332,261.907,262.555,263.119,263.567,264.316,264.771,265.419,265.958,266.516,266.987
2025-10-08 00:00:00
2025-10-08 02:35:00
267.538,268.021,268.490,269.075,269.740,269.942,270.606,271.150,271.551,272.099,272.531,273.050,273.462,274.058,274.527,274.877,275.350,275.774,276.286,276.668,277.149,277.609,277.904,278.414,278.745,279.066,279.567,279.940,280.474,280.820,281.170,281.553,281.848,282.329,282.696,282.947,283.555,283.693,284.212,284.419,284.715,285.048,285.413,285.682,285.900,286.313,286.729,286.920,287.269,287.415,287.759,288.048,288.259,288.650,288.784,289.117,289.373,289.516,289.930,289.983,290.459,290.547,290.794,290.915,291.124,291.298,291.586,291.650,291.916,292.129,292.189,292.315,292.539,292.810,292.929,292.960,293.223,293.225,293.416,293.613,293.620,293.664,293.793,293.993,294.041,294.175,294.062,294.408,294.363,294.405,294.431,294.430,294.800,294.612,294.594,294.683,294.596,294.767,294.699,294.917
2025-10-08 02:36:00
2025-10-08 04:15:00
,
100
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Forecast the traffic in the next 60 minutes, from 2025-10-08 02:36:00 to 2025-10-08 03:35:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 02:35:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-08 00:18:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
<history>68.053,68.926,69.960,70.767,71.759,72.654,73.574,74.416,75.519,76.349,77.080,78.196,79.100,79.992,80.814,81.800,82.737,83.573,84.510,77.766,91.244,80.127,90.677,92.271,118.547,112.877,131.736,129.781,163.114,171.774,172.543,173.655,174.529,175.434,176.341,177.292,178.193,178.956,179.852,180.755,181.665,182.599,183.391,184.362,185.161,185.972,186.982,188.023,188.751,189.677,190.609,191.363,192.185,193.017,194.081,194.813,195.660,196.618,197.472,198.321,199.115,199.987,200.867,201.706,202.492,203.389,204.233,205.065,205.884,206.765,207.558,208.445,209.168,210.041,210.928,211.502,212.541,213.374,214.210,215.054,215.920,216.675,217.372,218.154,219.086,219.842,220.577,221.269,222.091,223.012,223.723,224.497,225.222,226.035,226.882,227.598,228.228,229.230,229.923,230.639,231.376,232.020,232.745,233.708,234.445,235.082,235.827,236.471,237.373,237.921,238.686,239.338,240.199,240.875,241.477,242.133,243.019,243.582,244.249,245.062,245.747,246.318,246.999,247.650,248.458,249.003,249.784,250.327,250.741,251.701,252.370,253.007,253.594,254.275,254.917,255.459,256.005,256.710,257.281,257.881,258.330,259.029,259.742,260.279,260.835,261.332,261.907,262.555,263.119,263.567,264.316,264.771,265.419,265.958,266.516,266.987</history> This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 02:35:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-08 00:18:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event. Forecast the traffic in the next 100 minutes, from 2025-10-08 02:36:00 to 2025-10-08 04:15:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
context_explicit/template2/item0
GIFT synthesize
phase_change
T
839.369,839.962,839.635,839.073,840.792,840.751,840.934,841.664,842.197,843.010,843.798,844.340,844.058,844.253,845.586,847.898,848.810,849.538,850.354,852.393,852.730,855.023,855.471,857.165,858.009,861.504,862.577,863.183,864.985,865.705,867.764,869.301,872.618,873.412,876.242,878.893,881.787,882.464,886.978,887.783,890.065,893.244,895.071,898.486,901.115,902.734,905.342,909.497,911.959,916.117,917.433,921.697,926.290,928.983,930.579,936.438,939.699,942.749,946.765,950.916,953.357,956.630,961.269,964.614,971.300,972.786,977.687,981.687,986.424,990.274,993.985,998.828,4047.388,4052.854,3811.941,3622.621,3488.382,3412.934,3416.565,3420.632,3428.319,3431.394,3436.927,3443.022,3448.990,3453.897,3458.255,3464.599,3469.983,3476.438,3481.010,3486.907,3492.899,3497.735,3503.116,3510.956,3514.773,3523.187,3528.011,3535.357,3540.916,3545.893,3553.087,3560.170,3565.943,3572.171,3578.728,3585.983,3593.828,3600.563,3606.403,3613.387,3620.360,3628.073,3635.997,3643.275,3650.141,3657.452,3664.197,3671.595,3679.893,3686.457,3695.220,3702.278,3710.154,3718.785,3727.284,3733.017,3742.956,3748.855,3758.933,3765.502,3774.712,3783.439,3793.143,3800.039,3808.668,3816.922,3826.059,3835.248,3844.104,3851.039,3860.416,3870.923,3878.987,3887.221,3898.146,3907.072,3917.356,3924.003,3936.006,3944.308,3953.054,3964.273,3973.756,3983.577
2025-10-07 00:00:00
2025-10-07 02:35:00
3994.128,4003.133,4012.559,4022.494,4032.639,4041.298,4053.421,4063.813,4073.915,4085.908,4093.861,4105.931,4114.733,4125.447,4136.539,4147.525,4157.829,4168.897,4179.532,4191.485,4201.494,4213.780,4224.946,4236.837,4247.864,4259.014,4270.655,4282.067,4294.219,4304.726,4317.657,4327.532,4340.921,4350.448,4364.567,4375.231,4387.840,4400.421,4412.460,4424.807,4438.029,4450.032,4460.880,4474.630,4487.221,4499.103,4513.366,4527.003,4538.316,4549.703,4563.289,4577.662,4589.928,4602.238,4615.946,4629.953,4643.305,4657.410,4670.728,4683.666,4697.591,4710.928,4724.250,4738.912,4753.005,4765.955,4780.739,4793.227,4809.069,4822.170,4837.003,4850.029,4864.305,4878.879,4894.315,4909.156,4924.010,4938.444,4954.433,4968.283,4983.676,4997.080,5011.821,5026.396,5042.241,5056.915,5072.436,5087.657,5103.338,5118.545,5133.531,5149.272,5165.934,5181.901,5196.545,5213.904,5228.768,5243.809,5260.290,5275.458
2025-10-07 02:36:00
2025-10-07 04:15:00
,
100
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Forecast the traffic in the next 60 minutes, from 2025-10-07 02:36:00 to 2025-10-07 03:35:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 02:35:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-07 01:10:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
<history>839.369,839.962,839.635,839.073,840.792,840.751,840.934,841.664,842.197,843.010,843.798,844.340,844.058,844.253,845.586,847.898,848.810,849.538,850.354,852.393,852.730,855.023,855.471,857.165,858.009,861.504,862.577,863.183,864.985,865.705,867.764,869.301,872.618,873.412,876.242,878.893,881.787,882.464,886.978,887.783,890.065,893.244,895.071,898.486,901.115,902.734,905.342,909.497,911.959,916.117,917.433,921.697,926.290,928.983,930.579,936.438,939.699,942.749,946.765,950.916,953.357,956.630,961.269,964.614,971.300,972.786,977.687,981.687,986.424,990.274,993.985,998.828,4047.388,4052.854,3811.941,3622.621,3488.382,3412.934,3416.565,3420.632,3428.319,3431.394,3436.927,3443.022,3448.990,3453.897,3458.255,3464.599,3469.983,3476.438,3481.010,3486.907,3492.899,3497.735,3503.116,3510.956,3514.773,3523.187,3528.011,3535.357,3540.916,3545.893,3553.087,3560.170,3565.943,3572.171,3578.728,3585.983,3593.828,3600.563,3606.403,3613.387,3620.360,3628.073,3635.997,3643.275,3650.141,3657.452,3664.197,3671.595,3679.893,3686.457,3695.220,3702.278,3710.154,3718.785,3727.284,3733.017,3742.956,3748.855,3758.933,3765.502,3774.712,3783.439,3793.143,3800.039,3808.668,3816.922,3826.059,3835.248,3844.104,3851.039,3860.416,3870.923,3878.987,3887.221,3898.146,3907.072,3917.356,3924.003,3936.006,3944.308,3953.054,3964.273,3973.756,3983.577</history> This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 02:35:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-07 01:10:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event. Forecast the traffic in the next 100 minutes, from 2025-10-07 02:36:00 to 2025-10-07 04:15:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
context_explicit/template3/item0
GIFT synthesize
phase_change
T
37.204,41.912,39.814,41.331,42.088,39.806,39.569,39.479,38.919,39.672,41.326,37.546,39.696,40.254,37.513,38.159,38.008,39.111,37.615,42.954,36.072,40.517,38.212,38.164,39.842,37.556,38.825,37.838,35.959,38.227,38.894,36.296,36.495,38.780,39.853,37.793,41.394,37.853,40.613,36.270,41.814,38.814,40.785,38.964,41.513,40.596,41.114,41.148,42.785,39.983,41.000,41.584,43.984,41.011,40.616,40.966,39.021,41.730,41.188,41.320,40.801,44.576,47.522,44.397,44.079,43.020,40.913,43.094,42.343,44.015,40.708,41.960,41.513,44.596,44.124,44.724,41.048,42.336,42.681,42.053,40.576,43.350,40.198,42.399,42.310,43.186,40.352,41.223,44.467,40.903,41.727,39.347,40.156,39.814,41.148,39.781,37.043,35.052,38.461,38.413,38.824,36.271,39.407,35.339,37.634,35.481,37.583,40.876,42.942,55.016,70.633,70.696,70.665,70.194,70.710,70.520,70.332,68.059,66.338,65.131,67.891,66.383,68.859,66.204,69.896,67.605,70.287,66.829,68.761,70.168,66.666,67.421,63.719,66.559,66.060,68.546,65.380,67.015,67.568,69.518,69.491,69.225,64.194,66.768,68.183,67.625,70.714,69.967,66.889,64.195,66.522,67.031,64.667,67.581,68.359,68.341,70.956,70.939,71.571,69.707,69.258,71.194,69.691,70.751,69.490,73.173,72.659,68.454,71.010,68.406,76.750,69.662,71.386,69.788,72.498,70.159,68.589,71.034,68.742,70.678,69.269,72.647,69.281,71.094,69.109,73.426,67.535,71.264,68.953,67.251,71.768,71.921,71.871,71.851,71.632,69.452,71.255,70.552,66.821,71.678,69.169,64.694,65.911,66.444,67.837,66.292,66.204,68.750,67.365,66.762,63.921,64.456,68.935,65.545,67.064,65.061,70.330,68.825,69.569,68.535,67.105,69.261,68.755,65.682,66.567,65.423,65.763,64.840,69.746,64.453,68.090,67.135,68.582,66.649
2025-10-07 00:00:00
2025-10-07 03:53:00
67.449,65.518,65.362,67.953,65.799,69.032,65.316,66.867,65.960,63.276,65.160,65.845,65.289,67.250,66.616,62.850,63.838,65.608,63.881,63.926,66.464,68.056,63.506,63.544,67.801,62.989,63.676,67.576,68.191,65.886,65.060,68.352,70.082,65.625,65.607,66.160,67.628,68.129,69.362,68.148,70.945,67.924,66.895,68.869,68.228,69.583,69.694,68.015,68.734,68.109,66.590,64.649,67.222,65.942,68.766,63.185,69.605,67.359,66.685,68.439,68.569,67.112,68.130,67.123,66.870,65.728,65.987,65.236,67.307,65.245,62.307,64.746,65.580,67.556,63.969,64.316,61.003,65.163,62.067,65.172,60.627,62.797,63.267,63.958,61.734,63.736,64.663,62.474,63.821,64.852,66.415,65.504,64.225,62.879,65.484,62.773,63.620,62.227,62.275,62.951,62.121,63.336,62.481,64.575,64.810,64.298,61.784,65.708,61.840,62.703,60.886,62.897,59.100,58.573,60.741,61.996,59.333,57.795,61.603,61.340,60.787,61.864,64.302,58.749,63.428,62.052,60.196,62.701,62.492,60.326,61.190,64.057,61.127,64.261,63.931,65.853,66.948,65.115,63.284,62.532,64.555,65.435,64.657,64.929,66.674,65.638,65.061,65.069,66.029,65.300
2025-10-07 03:54:00
2025-10-07 06:23:00
,
150
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Forecast the traffic in the next 60 minutes, from 2025-10-07 03:54:00 to 2025-10-07 04:53:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 03:53:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-07 01:46:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
<history>37.204,41.912,39.814,41.331,42.088,39.806,39.569,39.479,38.919,39.672,41.326,37.546,39.696,40.254,37.513,38.159,38.008,39.111,37.615,42.954,36.072,40.517,38.212,38.164,39.842,37.556,38.825,37.838,35.959,38.227,38.894,36.296,36.495,38.780,39.853,37.793,41.394,37.853,40.613,36.270,41.814,38.814,40.785,38.964,41.513,40.596,41.114,41.148,42.785,39.983,41.000,41.584,43.984,41.011,40.616,40.966,39.021,41.730,41.188,41.320,40.801,44.576,47.522,44.397,44.079,43.020,40.913,43.094,42.343,44.015,40.708,41.960,41.513,44.596,44.124,44.724,41.048,42.336,42.681,42.053,40.576,43.350,40.198,42.399,42.310,43.186,40.352,41.223,44.467,40.903,41.727,39.347,40.156,39.814,41.148,39.781,37.043,35.052,38.461,38.413,38.824,36.271,39.407,35.339,37.634,35.481,37.583,40.876,42.942,55.016,70.633,70.696,70.665,70.194,70.710,70.520,70.332,68.059,66.338,65.131,67.891,66.383,68.859,66.204,69.896,67.605,70.287,66.829,68.761,70.168,66.666,67.421,63.719,66.559,66.060,68.546,65.380,67.015,67.568,69.518,69.491,69.225,64.194,66.768,68.183,67.625,70.714,69.967,66.889,64.195,66.522,67.031,64.667,67.581,68.359,68.341,70.956,70.939,71.571,69.707,69.258,71.194,69.691,70.751,69.490,73.173,72.659,68.454,71.010,68.406,76.750,69.662,71.386,69.788,72.498,70.159,68.589,71.034,68.742,70.678,69.269,72.647,69.281,71.094,69.109,73.426,67.535,71.264,68.953,67.251,71.768,71.921,71.871,71.851,71.632,69.452,71.255,70.552,66.821,71.678,69.169,64.694,65.911,66.444,67.837,66.292,66.204,68.750,67.365,66.762,63.921,64.456,68.935,65.545,67.064,65.061,70.330,68.825,69.569,68.535,67.105,69.261,68.755,65.682,66.567,65.423,65.763,64.840,69.746,64.453,68.090,67.135,68.582,66.649</history> This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 03:53:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-07 01:46:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event. Forecast the traffic in the next 150 minutes, from 2025-10-07 03:54:00 to 2025-10-07 06:23:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
context_explicit/template4/item0
GIFT synthesize
phase_change
T
7200.378,4592.884,6222.893,7077.956,6839.441,6452.646,8114.307,8619.239,9369.519,7023.154,9057.831,7664.191,8683.972,8554.980,7787.065,8361.943,8110.618,7815.972,6504.497,8409.822,7445.998,8013.396,7767.750,6884.176,5946.087,6373.278,5146.195,5302.175,6665.887,7962.915,6863.586,7372.069,7724.296,8854.848,7226.928,8265.475,5569.425,6733.470,5991.263,6151.774,5783.967,7238.565,5740.954,6690.762,5554.542,7328.594,7099.324,7371.247,8195.986,6131.619,7977.348,7562.781,8708.602,8527.011,9920.178,8359.596,8382.428,8835.933,7911.521,7216.254,7114.169,6570.131,6430.128,6025.049,6696.760,5290.756,6694.652,6517.372,7391.151,8568.888,8789.999,8920.870,7996.616,6410.387,7629.516,5224.742,4467.449,3650.800,3578.057,4883.958,4766.060,5468.696,6523.029,8161.592,9344.360,8693.139,9262.632,9268.384,8305.839,7326.906,6572.566,5244.355,5497.057,5357.997,6122.977,6521.479,6536.324,9905.282,8418.725,7831.850,8316.622,8530.071,9023.799,6602.153,7399.712,5672.658,4418.882,6482.818,6264.494,6278.629,7298.609,4777.957,6184.133,5808.703,5130.295,7461.498,6026.916,6675.775,5692.787,5545.238,6073.082,5848.657,5814.607,6945.349,7360.322,5462.661,7589.220,6270.476,7234.027,7794.853,7252.921,6489.312,5460.034,6485.374,6158.565,5961.982,6329.724,4909.806,6205.163,5417.187,3759.459,5694.917,6493.166,5439.910,6098.826,4984.887,6773.506,6462.675,6663.985,6649.908,6631.290,6389.463,6645.114,6746.994,7677.252,6033.325,5318.925,6070.130,7339.050,7233.032,8106.916,6088.979,6004.577,5488.043,4689.803,4356.433,4108.604,3359.908,3464.056,2671.931,3079.307,4495.488,4437.083,5292.259,6343.555,6621.017,6258.533,6730.700,4772.432,5158.517,4935.510,6192.854,4970.858,6136.168,5329.488,6186.737,6550.291,6266.095,6565.978,6518.932,6845.399,6116.612,5108.398,4679.156,3553.581,4111.658,6067.297,2620.957,4461.390,3360.467,3353.510,5096.151,3877.711,4457.282,4624.380,5003.954,3432.245,3676.794,4696.520,20592.071,31832.865,43281.216,49995.109,49078.253,48171.613,47717.368,48976.332,47812.137,48231.808,48227.677,47833.088,47804.649,47889.544,48983.497,50181.016,48368.641,48263.182,49328.451,48510.904,46541.504,46812.910,48066.496,46735.448,46519.572,47752.497,46249.967,47329.143,51239.135,51177.109,49334.452,49216.254,49799.773,47954.823,48592.109,46036.501,45146.652,46829.822,47115.578,47706.696,46167.164,46348.197,47846.787,49369.584,49098.295,48122.274,46990.707,47574.833,45916.830,48605.621,47013.644,45213.836,47116.634,45259.707,46902.383
2025-10-07 00:00:00
2025-10-07 04:23:00
44274.600,46180.358,45372.796,45200.444,47909.012,45739.829,46900.637,46271.819,48341.060,45930.607,45164.682,47631.788,46440.244,47387.428,47019.544,47740.154,45885.525,46337.318,46477.850,47590.830,45501.922,45668.269,46580.702,47614.048,45089.559,46205.832,46884.223,47932.492,46483.092,45503.013,46543.293,45508.449,45815.863,45887.571,45722.971,44621.275,43978.114,45174.961,44771.266,45046.526,43379.080,45237.498,44568.153,43774.960,45117.499,44660.447,43990.967,44689.439,43706.409,46097.911,44647.296,44654.124,42307.796,43682.514,43450.196,44411.116,44881.132,45998.946,46898.046,45341.696,46462.828,47173.819,47777.264,45002.384,44803.773,44795.224,43678.929,43123.965,41947.335,44561.536,43393.687,44847.862,45867.831,45581.865,45189.790,45733.415,45304.769,44424.444,44172.272,42957.965,42987.857,43173.211,42111.589,42457.703,42429.072,43213.711,40067.583,40969.152,42341.558,42185.014,40984.908,41203.371,42672.688,43551.175,42552.933,42697.334,43084.876,43806.342,42907.359,43151.220,42866.871,44725.433,43687.973,43675.382,42487.028,42472.672,44328.128,44611.915,44750.843,43360.623,44912.103,43912.363,46094.037,43550.695,41221.535,43132.936,41221.392,42088.552,41155.076,40706.161
2025-10-07 04:24:00
2025-10-07 06:23:00
,
120
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Forecast the traffic in the next 60 minutes, from 2025-10-07 04:24:00 to 2025-10-07 05:23:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 04:23:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-07 03:27:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event.
<history>7200.378,4592.884,6222.893,7077.956,6839.441,6452.646,8114.307,8619.239,9369.519,7023.154,9057.831,7664.191,8683.972,8554.980,7787.065,8361.943,8110.618,7815.972,6504.497,8409.822,7445.998,8013.396,7767.750,6884.176,5946.087,6373.278,5146.195,5302.175,6665.887,7962.915,6863.586,7372.069,7724.296,8854.848,7226.928,8265.475,5569.425,6733.470,5991.263,6151.774,5783.967,7238.565,5740.954,6690.762,5554.542,7328.594,7099.324,7371.247,8195.986,6131.619,7977.348,7562.781,8708.602,8527.011,9920.178,8359.596,8382.428,8835.933,7911.521,7216.254,7114.169,6570.131,6430.128,6025.049,6696.760,5290.756,6694.652,6517.372,7391.151,8568.888,8789.999,8920.870,7996.616,6410.387,7629.516,5224.742,4467.449,3650.800,3578.057,4883.958,4766.060,5468.696,6523.029,8161.592,9344.360,8693.139,9262.632,9268.384,8305.839,7326.906,6572.566,5244.355,5497.057,5357.997,6122.977,6521.479,6536.324,9905.282,8418.725,7831.850,8316.622,8530.071,9023.799,6602.153,7399.712,5672.658,4418.882,6482.818,6264.494,6278.629,7298.609,4777.957,6184.133,5808.703,5130.295,7461.498,6026.916,6675.775,5692.787,5545.238,6073.082,5848.657,5814.607,6945.349,7360.322,5462.661,7589.220,6270.476,7234.027,7794.853,7252.921,6489.312,5460.034,6485.374,6158.565,5961.982,6329.724,4909.806,6205.163,5417.187,3759.459,5694.917,6493.166,5439.910,6098.826,4984.887,6773.506,6462.675,6663.985,6649.908,6631.290,6389.463,6645.114,6746.994,7677.252,6033.325,5318.925,6070.130,7339.050,7233.032,8106.916,6088.979,6004.577,5488.043,4689.803,4356.433,4108.604,3359.908,3464.056,2671.931,3079.307,4495.488,4437.083,5292.259,6343.555,6621.017,6258.533,6730.700,4772.432,5158.517,4935.510,6192.854,4970.858,6136.168,5329.488,6186.737,6550.291,6266.095,6565.978,6518.932,6845.399,6116.612,5108.398,4679.156,3553.581,4111.658,6067.297,2620.957,4461.390,3360.467,3353.510,5096.151,3877.711,4457.282,4624.380,5003.954,3432.245,3676.794,4696.520,20592.071,31832.865,43281.216,49995.109,49078.253,48171.613,47717.368,48976.332,47812.137,48231.808,48227.677,47833.088,47804.649,47889.544,48983.497,50181.016,48368.641,48263.182,49328.451,48510.904,46541.504,46812.910,48066.496,46735.448,46519.572,47752.497,46249.967,47329.143,51239.135,51177.109,49334.452,49216.254,49799.773,47954.823,48592.109,46036.501,45146.652,46829.822,47115.578,47706.696,46167.164,46348.197,47846.787,49369.584,49098.295,48122.274,46990.707,47574.833,45916.830,48605.621,47013.644,45213.836,47116.634,45259.707,46902.383</history> This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 04:23:00 with the minutes (T) frequency. The webmaster ran an online event at 2025-10-07 03:27:00, leading to an increase of traffic. The traffic is expected to be high for the rest of the event. Forecast the traffic in the next 120 minutes, from 2025-10-07 04:24:00 to 2025-10-07 06:23:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
context_implicit/template0/item0
GIFT synthesize
phase_change
T
77.654,77.762,77.828,77.907,77.965,78.006,78.028,78.038,78.034,77.996,77.968,77.895,77.833,77.744,77.637,77.518,77.377,77.225,77.064,76.874,76.690,76.483,76.267,76.036,75.807,75.565,75.310,75.042,74.766,74.498,74.211,73.944,73.645,73.353,73.079,72.792,72.495,72.220,71.943,71.668,71.395,71.123,70.875,70.623,70.382,70.156,69.937,69.732,69.522,69.334,69.163,69.005,68.853,68.721,68.595,68.487,68.389,68.304,68.232,68.188,68.142,68.114,68.081,68.084,68.092,68.100,68.139,68.178,68.209,68.284,68.323,68.410,68.481,68.558,68.653,68.743,68.828,68.933,69.036,69.139,69.251,69.343,69.450,69.562,69.653,69.749,69.847,69.932,70.032,70.097,70.184,70.250,70.316,70.376,70.434,70.497,70.526,70.556,70.588,70.610,70.624,70.648,70.656,70.659,70.652,70.645,70.643,70.634,70.615,70.592,70.574,70.547,70.535,70.512,70.498,70.478,70.462,70.458,70.458,70.444,70.452,70.449,70.461,70.496,70.517,70.546,70.596,70.650,70.695,70.774,70.854,70.934,71.041,71.144,71.251,71.381,71.513,71.671,71.819,71.986,72.161,72.341,72.524,87.672,101.354,112.258,119.343,119.558,116.206,114.300,114.516,114.754,114.990,115.211,115.436,115.668,115.891,116.109,116.321,116.530,116.729,116.925,117.109,117.291,117.445,117.611,117.745,117.883,117.994,118.110,118.186,118.268,118.331,118.368,118.394,118.404,118.399,118.372,118.338,118.276,118.211,118.110,118.020,117.895,117.756,117.605,117.441,117.257,117.066,116.861,116.644,116.420,116.187,115.937,115.679,115.419,115.147,114.862,114.579,114.299,114.010,113.728,113.440,113.154,112.855,112.565,112.300,112.017,111.753,111.477,111.219,110.973,110.729,110.491,110.277,110.065,109.875,109.674,109.507,109.336,109.188,109.051,108.926,108.811,108.709,108.617,108.538,108.484,108.446,108.416,108.392,108.391,108.389,108.386,108.411,108.461,108.489,108.538,108.612,108.686,108.752,108.827,108.906,109.013,109.093,109.190,109.285,109.389,109.493,109.585,109.694,109.801,109.890,109.977,110.072,110.160,110.248,110.341,110.406,110.476,110.542,110.593,110.669,110.713,110.762,110.789,110.820,110.862,110.876,110.887,110.900,110.909,110.909,110.907,110.893,110.895,110.882,110.873,110.849,110.841,110.818,110.812,110.805,110.779,110.770,110.768,110.772,110.765,110.771,110.788,110.791,110.820,110.837,110.880,110.933,110.974,111.042,111.104,111.190,111.274,111.366,111.471,111.584,111.705,111.841,111.986,112.135,112.288,112.455,112.633,112.809,113.002,113.189,113.398,113.594,113.804,114.022,114.232,114.455,114.682,114.895,115.119,115.335,115.550,115.778,115.970,116.188,116.386,116.576,116.764,116.944,117.114,117.276,117.429,117.557,117.685,117.795,117.901,117.993,118.056,118.118,118.167,118.184,118.212,118.197,118.171,118.141,118.096,118.030,117.939,117.841,117.725,117.598,117.467,117.314,117.147,116.964,116.773,116.555,116.346,116.119,115.880,115.635,115.382,115.127,114.869,114.595,114.321,114.049,113.776,113.502,113.221,112.938,112.665,112.401,112.131,111.876,111.609,111.356,111.120,110.893,110.658,110.444,110.242,110.037,109.851,109.674,109.514,109.370,109.229,109.101,108.985
2025-10-08 00:00:00
2025-10-08 06:31:00
108.888,108.801,108.730,108.669,108.616,108.575,108.554,108.537,108.520,108.537,108.556,108.596,108.620,108.669,108.724,108.789,108.847,108.926,109.006,109.092,109.181,109.265,109.357,109.459,109.555,109.651,109.753,109.842,109.933,110.025,110.119,110.208,110.283,110.365,110.448,110.520,110.592,110.629,110.694,110.750,110.796,110.829,110.868,110.905,110.916,110.935,110.944,110.969,110.961,110.968,110.950,110.946,110.955,110.929,110.920,110.900,110.889,110.872,110.863,110.841,110.840,110.821,110.826,110.822,110.825,110.829,110.834,110.856,110.889,110.913,110.953,110.988,111.051,111.121,111.186,111.253,111.348,111.437,111.542,111.661,111.788,111.912,112.061,112.215,112.371,112.541,112.722,112.890,113.073,113.273,113.455,113.662,113.878,114.090,114.301,114.516,114.732,114.951,115.171,115.384,115.595,115.807,116.012,116.212,116.401,116.585,116.767,116.940,117.101,117.260,117.391,117.515,117.645,117.746,117.833,117.915,117.991,118.028,118.073,118.085
2025-10-08 06:32:00
2025-10-08 08:31:00
,
120
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Forecast the traffic in the next 120 minutes, from 2025-10-08 06:32:00 to 2025-10-08 08:31:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 06:31:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
<history>77.654,77.762,77.828,77.907,77.965,78.006,78.028,78.038,78.034,77.996,77.968,77.895,77.833,77.744,77.637,77.518,77.377,77.225,77.064,76.874,76.690,76.483,76.267,76.036,75.807,75.565,75.310,75.042,74.766,74.498,74.211,73.944,73.645,73.353,73.079,72.792,72.495,72.220,71.943,71.668,71.395,71.123,70.875,70.623,70.382,70.156,69.937,69.732,69.522,69.334,69.163,69.005,68.853,68.721,68.595,68.487,68.389,68.304,68.232,68.188,68.142,68.114,68.081,68.084,68.092,68.100,68.139,68.178,68.209,68.284,68.323,68.410,68.481,68.558,68.653,68.743,68.828,68.933,69.036,69.139,69.251,69.343,69.450,69.562,69.653,69.749,69.847,69.932,70.032,70.097,70.184,70.250,70.316,70.376,70.434,70.497,70.526,70.556,70.588,70.610,70.624,70.648,70.656,70.659,70.652,70.645,70.643,70.634,70.615,70.592,70.574,70.547,70.535,70.512,70.498,70.478,70.462,70.458,70.458,70.444,70.452,70.449,70.461,70.496,70.517,70.546,70.596,70.650,70.695,70.774,70.854,70.934,71.041,71.144,71.251,71.381,71.513,71.671,71.819,71.986,72.161,72.341,72.524,87.672,101.354,112.258,119.343,119.558,116.206,114.300,114.516,114.754,114.990,115.211,115.436,115.668,115.891,116.109,116.321,116.530,116.729,116.925,117.109,117.291,117.445,117.611,117.745,117.883,117.994,118.110,118.186,118.268,118.331,118.368,118.394,118.404,118.399,118.372,118.338,118.276,118.211,118.110,118.020,117.895,117.756,117.605,117.441,117.257,117.066,116.861,116.644,116.420,116.187,115.937,115.679,115.419,115.147,114.862,114.579,114.299,114.010,113.728,113.440,113.154,112.855,112.565,112.300,112.017,111.753,111.477,111.219,110.973,110.729,110.491,110.277,110.065,109.875,109.674,109.507,109.336,109.188,109.051,108.926,108.811,108.709,108.617,108.538,108.484,108.446,108.416,108.392,108.391,108.389,108.386,108.411,108.461,108.489,108.538,108.612,108.686,108.752,108.827,108.906,109.013,109.093,109.190,109.285,109.389,109.493,109.585,109.694,109.801,109.890,109.977,110.072,110.160,110.248,110.341,110.406,110.476,110.542,110.593,110.669,110.713,110.762,110.789,110.820,110.862,110.876,110.887,110.900,110.909,110.909,110.907,110.893,110.895,110.882,110.873,110.849,110.841,110.818,110.812,110.805,110.779,110.770,110.768,110.772,110.765,110.771,110.788,110.791,110.820,110.837,110.880,110.933,110.974,111.042,111.104,111.190,111.274,111.366,111.471,111.584,111.705,111.841,111.986,112.135,112.288,112.455,112.633,112.809,113.002,113.189,113.398,113.594,113.804,114.022,114.232,114.455,114.682,114.895,115.119,115.335,115.550,115.778,115.970,116.188,116.386,116.576,116.764,116.944,117.114,117.276,117.429,117.557,117.685,117.795,117.901,117.993,118.056,118.118,118.167,118.184,118.212,118.197,118.171,118.141,118.096,118.030,117.939,117.841,117.725,117.598,117.467,117.314,117.147,116.964,116.773,116.555,116.346,116.119,115.880,115.635,115.382,115.127,114.869,114.595,114.321,114.049,113.776,113.502,113.221,112.938,112.665,112.401,112.131,111.876,111.609,111.356,111.120,110.893,110.658,110.444,110.242,110.037,109.851,109.674,109.514,109.370,109.229,109.101,108.985</history> This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 06:31:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event. Forecast the traffic in the next 120 minutes, from 2025-10-08 06:32:00 to 2025-10-08 08:31:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
context_implicit/template1/item0
GIFT synthesize
phase_change
T
68.053,68.926,69.960,70.767,71.759,72.654,73.574,74.416,75.519,76.349,77.080,78.196,79.100,79.992,80.814,81.800,82.737,83.573,84.510,77.766,91.244,80.127,90.677,92.271,118.547,112.877,131.736,129.781,163.114,171.774,172.543,173.655,174.529,175.434,176.341,177.292,178.193,178.956,179.852,180.755,181.665,182.599,183.391,184.362,185.161,185.972,186.982,188.023,188.751,189.677,190.609,191.363,192.185,193.017,194.081,194.813,195.660,196.618,197.472,198.321,199.115,199.987,200.867,201.706,202.492,203.389,204.233,205.065,205.884,206.765,207.558,208.445,209.168,210.041,210.928,211.502,212.541,213.374,214.210,215.054,215.920,216.675,217.372,218.154,219.086,219.842,220.577,221.269,222.091,223.012,223.723,224.497,225.222,226.035,226.882,227.598,228.228,229.230,229.923,230.639,231.376,232.020,232.745,233.708,234.445,235.082,235.827,236.471,237.373,237.921,238.686,239.338,240.199,240.875,241.477,242.133,243.019,243.582,244.249,245.062,245.747,246.318,246.999,247.650,248.458,249.003,249.784,250.327,250.741,251.701,252.370,253.007,253.594,254.275,254.917,255.459,256.005,256.710,257.281,257.881,258.330,259.029,259.742,260.279,260.835,261.332,261.907,262.555,263.119,263.567,264.316,264.771,265.419,265.958,266.516,266.987
2025-10-08 00:00:00
2025-10-08 02:35:00
267.538,268.021,268.490,269.075,269.740,269.942,270.606,271.150,271.551,272.099,272.531,273.050,273.462,274.058,274.527,274.877,275.350,275.774,276.286,276.668,277.149,277.609,277.904,278.414,278.745,279.066,279.567,279.940,280.474,280.820,281.170,281.553,281.848,282.329,282.696,282.947,283.555,283.693,284.212,284.419,284.715,285.048,285.413,285.682,285.900,286.313,286.729,286.920,287.269,287.415,287.759,288.048,288.259,288.650,288.784,289.117,289.373,289.516,289.930,289.983,290.459,290.547,290.794,290.915,291.124,291.298,291.586,291.650,291.916,292.129,292.189,292.315,292.539,292.810,292.929,292.960,293.223,293.225,293.416,293.613,293.620,293.664,293.793,293.993,294.041,294.175,294.062,294.408,294.363,294.405,294.431,294.430,294.800,294.612,294.594,294.683,294.596,294.767,294.699,294.917
2025-10-08 02:36:00
2025-10-08 04:15:00
,
100
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Forecast the traffic in the next 100 minutes, from 2025-10-08 02:36:00 to 2025-10-08 04:15:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 02:35:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
<history>68.053,68.926,69.960,70.767,71.759,72.654,73.574,74.416,75.519,76.349,77.080,78.196,79.100,79.992,80.814,81.800,82.737,83.573,84.510,77.766,91.244,80.127,90.677,92.271,118.547,112.877,131.736,129.781,163.114,171.774,172.543,173.655,174.529,175.434,176.341,177.292,178.193,178.956,179.852,180.755,181.665,182.599,183.391,184.362,185.161,185.972,186.982,188.023,188.751,189.677,190.609,191.363,192.185,193.017,194.081,194.813,195.660,196.618,197.472,198.321,199.115,199.987,200.867,201.706,202.492,203.389,204.233,205.065,205.884,206.765,207.558,208.445,209.168,210.041,210.928,211.502,212.541,213.374,214.210,215.054,215.920,216.675,217.372,218.154,219.086,219.842,220.577,221.269,222.091,223.012,223.723,224.497,225.222,226.035,226.882,227.598,228.228,229.230,229.923,230.639,231.376,232.020,232.745,233.708,234.445,235.082,235.827,236.471,237.373,237.921,238.686,239.338,240.199,240.875,241.477,242.133,243.019,243.582,244.249,245.062,245.747,246.318,246.999,247.650,248.458,249.003,249.784,250.327,250.741,251.701,252.370,253.007,253.594,254.275,254.917,255.459,256.005,256.710,257.281,257.881,258.330,259.029,259.742,260.279,260.835,261.332,261.907,262.555,263.119,263.567,264.316,264.771,265.419,265.958,266.516,266.987</history> This time series records the traffic of a webiste. The traffic was recorded from 2025-10-08 00:00:00 to 2025-10-08 02:35:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event. Forecast the traffic in the next 100 minutes, from 2025-10-08 02:36:00 to 2025-10-08 04:15:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
context_implicit/template2/item0
GIFT synthesize
phase_change
T
839.369,839.962,839.635,839.073,840.792,840.751,840.934,841.664,842.197,843.010,843.798,844.340,844.058,844.253,845.586,847.898,848.810,849.538,850.354,852.393,852.730,855.023,855.471,857.165,858.009,861.504,862.577,863.183,864.985,865.705,867.764,869.301,872.618,873.412,876.242,878.893,881.787,882.464,886.978,887.783,890.065,893.244,895.071,898.486,901.115,902.734,905.342,909.497,911.959,916.117,917.433,921.697,926.290,928.983,930.579,936.438,939.699,942.749,946.765,950.916,953.357,956.630,961.269,964.614,971.300,972.786,977.687,981.687,986.424,990.274,993.985,998.828,4047.388,4052.854,3811.941,3622.621,3488.382,3412.934,3416.565,3420.632,3428.319,3431.394,3436.927,3443.022,3448.990,3453.897,3458.255,3464.599,3469.983,3476.438,3481.010,3486.907,3492.899,3497.735,3503.116,3510.956,3514.773,3523.187,3528.011,3535.357,3540.916,3545.893,3553.087,3560.170,3565.943,3572.171,3578.728,3585.983,3593.828,3600.563,3606.403,3613.387,3620.360,3628.073,3635.997,3643.275,3650.141,3657.452,3664.197,3671.595,3679.893,3686.457,3695.220,3702.278,3710.154,3718.785,3727.284,3733.017,3742.956,3748.855,3758.933,3765.502,3774.712,3783.439,3793.143,3800.039,3808.668,3816.922,3826.059,3835.248,3844.104,3851.039,3860.416,3870.923,3878.987,3887.221,3898.146,3907.072,3917.356,3924.003,3936.006,3944.308,3953.054,3964.273,3973.756,3983.577
2025-10-07 00:00:00
2025-10-07 02:35:00
3994.128,4003.133,4012.559,4022.494,4032.639,4041.298,4053.421,4063.813,4073.915,4085.908,4093.861,4105.931,4114.733,4125.447,4136.539,4147.525,4157.829,4168.897,4179.532,4191.485,4201.494,4213.780,4224.946,4236.837,4247.864,4259.014,4270.655,4282.067,4294.219,4304.726,4317.657,4327.532,4340.921,4350.448,4364.567,4375.231,4387.840,4400.421,4412.460,4424.807,4438.029,4450.032,4460.880,4474.630,4487.221,4499.103,4513.366,4527.003,4538.316,4549.703,4563.289,4577.662,4589.928,4602.238,4615.946,4629.953,4643.305,4657.410,4670.728,4683.666,4697.591,4710.928,4724.250,4738.912,4753.005,4765.955,4780.739,4793.227,4809.069,4822.170,4837.003,4850.029,4864.305,4878.879,4894.315,4909.156,4924.010,4938.444,4954.433,4968.283,4983.676,4997.080,5011.821,5026.396,5042.241,5056.915,5072.436,5087.657,5103.338,5118.545,5133.531,5149.272,5165.934,5181.901,5196.545,5213.904,5228.768,5243.809,5260.290,5275.458
2025-10-07 02:36:00
2025-10-07 04:15:00
,
100
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Forecast the traffic in the next 100 minutes, from 2025-10-07 02:36:00 to 2025-10-07 04:15:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 02:35:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
<history>839.369,839.962,839.635,839.073,840.792,840.751,840.934,841.664,842.197,843.010,843.798,844.340,844.058,844.253,845.586,847.898,848.810,849.538,850.354,852.393,852.730,855.023,855.471,857.165,858.009,861.504,862.577,863.183,864.985,865.705,867.764,869.301,872.618,873.412,876.242,878.893,881.787,882.464,886.978,887.783,890.065,893.244,895.071,898.486,901.115,902.734,905.342,909.497,911.959,916.117,917.433,921.697,926.290,928.983,930.579,936.438,939.699,942.749,946.765,950.916,953.357,956.630,961.269,964.614,971.300,972.786,977.687,981.687,986.424,990.274,993.985,998.828,4047.388,4052.854,3811.941,3622.621,3488.382,3412.934,3416.565,3420.632,3428.319,3431.394,3436.927,3443.022,3448.990,3453.897,3458.255,3464.599,3469.983,3476.438,3481.010,3486.907,3492.899,3497.735,3503.116,3510.956,3514.773,3523.187,3528.011,3535.357,3540.916,3545.893,3553.087,3560.170,3565.943,3572.171,3578.728,3585.983,3593.828,3600.563,3606.403,3613.387,3620.360,3628.073,3635.997,3643.275,3650.141,3657.452,3664.197,3671.595,3679.893,3686.457,3695.220,3702.278,3710.154,3718.785,3727.284,3733.017,3742.956,3748.855,3758.933,3765.502,3774.712,3783.439,3793.143,3800.039,3808.668,3816.922,3826.059,3835.248,3844.104,3851.039,3860.416,3870.923,3878.987,3887.221,3898.146,3907.072,3917.356,3924.003,3936.006,3944.308,3953.054,3964.273,3973.756,3983.577</history> This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 02:35:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event. Forecast the traffic in the next 100 minutes, from 2025-10-07 02:36:00 to 2025-10-07 04:15:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
context_implicit/template3/item0
GIFT synthesize
phase_change
T
37.204,41.912,39.814,41.331,42.088,39.806,39.569,39.479,38.919,39.672,41.326,37.546,39.696,40.254,37.513,38.159,38.008,39.111,37.615,42.954,36.072,40.517,38.212,38.164,39.842,37.556,38.825,37.838,35.959,38.227,38.894,36.296,36.495,38.780,39.853,37.793,41.394,37.853,40.613,36.270,41.814,38.814,40.785,38.964,41.513,40.596,41.114,41.148,42.785,39.983,41.000,41.584,43.984,41.011,40.616,40.966,39.021,41.730,41.188,41.320,40.801,44.576,47.522,44.397,44.079,43.020,40.913,43.094,42.343,44.015,40.708,41.960,41.513,44.596,44.124,44.724,41.048,42.336,42.681,42.053,40.576,43.350,40.198,42.399,42.310,43.186,40.352,41.223,44.467,40.903,41.727,39.347,40.156,39.814,41.148,39.781,37.043,35.052,38.461,38.413,38.824,36.271,39.407,35.339,37.634,35.481,37.583,40.876,42.942,55.016,70.633,70.696,70.665,70.194,70.710,70.520,70.332,68.059,66.338,65.131,67.891,66.383,68.859,66.204,69.896,67.605,70.287,66.829,68.761,70.168,66.666,67.421,63.719,66.559,66.060,68.546,65.380,67.015,67.568,69.518,69.491,69.225,64.194,66.768,68.183,67.625,70.714,69.967,66.889,64.195,66.522,67.031,64.667,67.581,68.359,68.341,70.956,70.939,71.571,69.707,69.258,71.194,69.691,70.751,69.490,73.173,72.659,68.454,71.010,68.406,76.750,69.662,71.386,69.788,72.498,70.159,68.589,71.034,68.742,70.678,69.269,72.647,69.281,71.094,69.109,73.426,67.535,71.264,68.953,67.251,71.768,71.921,71.871,71.851,71.632,69.452,71.255,70.552,66.821,71.678,69.169,64.694,65.911,66.444,67.837,66.292,66.204,68.750,67.365,66.762,63.921,64.456,68.935,65.545,67.064,65.061,70.330,68.825,69.569,68.535,67.105,69.261,68.755,65.682,66.567,65.423,65.763,64.840,69.746,64.453,68.090,67.135,68.582,66.649
2025-10-07 00:00:00
2025-10-07 03:53:00
67.449,65.518,65.362,67.953,65.799,69.032,65.316,66.867,65.960,63.276,65.160,65.845,65.289,67.250,66.616,62.850,63.838,65.608,63.881,63.926,66.464,68.056,63.506,63.544,67.801,62.989,63.676,67.576,68.191,65.886,65.060,68.352,70.082,65.625,65.607,66.160,67.628,68.129,69.362,68.148,70.945,67.924,66.895,68.869,68.228,69.583,69.694,68.015,68.734,68.109,66.590,64.649,67.222,65.942,68.766,63.185,69.605,67.359,66.685,68.439,68.569,67.112,68.130,67.123,66.870,65.728,65.987,65.236,67.307,65.245,62.307,64.746,65.580,67.556,63.969,64.316,61.003,65.163,62.067,65.172,60.627,62.797,63.267,63.958,61.734,63.736,64.663,62.474,63.821,64.852,66.415,65.504,64.225,62.879,65.484,62.773,63.620,62.227,62.275,62.951,62.121,63.336,62.481,64.575,64.810,64.298,61.784,65.708,61.840,62.703,60.886,62.897,59.100,58.573,60.741,61.996,59.333,57.795,61.603,61.340,60.787,61.864,64.302,58.749,63.428,62.052,60.196,62.701,62.492,60.326,61.190,64.057,61.127,64.261,63.931,65.853,66.948,65.115,63.284,62.532,64.555,65.435,64.657,64.929,66.674,65.638,65.061,65.069,66.029,65.300
2025-10-07 03:54:00
2025-10-07 06:23:00
,
150
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Forecast the traffic in the next 150 minutes, from 2025-10-07 03:54:00 to 2025-10-07 06:23:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 03:53:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
<history>37.204,41.912,39.814,41.331,42.088,39.806,39.569,39.479,38.919,39.672,41.326,37.546,39.696,40.254,37.513,38.159,38.008,39.111,37.615,42.954,36.072,40.517,38.212,38.164,39.842,37.556,38.825,37.838,35.959,38.227,38.894,36.296,36.495,38.780,39.853,37.793,41.394,37.853,40.613,36.270,41.814,38.814,40.785,38.964,41.513,40.596,41.114,41.148,42.785,39.983,41.000,41.584,43.984,41.011,40.616,40.966,39.021,41.730,41.188,41.320,40.801,44.576,47.522,44.397,44.079,43.020,40.913,43.094,42.343,44.015,40.708,41.960,41.513,44.596,44.124,44.724,41.048,42.336,42.681,42.053,40.576,43.350,40.198,42.399,42.310,43.186,40.352,41.223,44.467,40.903,41.727,39.347,40.156,39.814,41.148,39.781,37.043,35.052,38.461,38.413,38.824,36.271,39.407,35.339,37.634,35.481,37.583,40.876,42.942,55.016,70.633,70.696,70.665,70.194,70.710,70.520,70.332,68.059,66.338,65.131,67.891,66.383,68.859,66.204,69.896,67.605,70.287,66.829,68.761,70.168,66.666,67.421,63.719,66.559,66.060,68.546,65.380,67.015,67.568,69.518,69.491,69.225,64.194,66.768,68.183,67.625,70.714,69.967,66.889,64.195,66.522,67.031,64.667,67.581,68.359,68.341,70.956,70.939,71.571,69.707,69.258,71.194,69.691,70.751,69.490,73.173,72.659,68.454,71.010,68.406,76.750,69.662,71.386,69.788,72.498,70.159,68.589,71.034,68.742,70.678,69.269,72.647,69.281,71.094,69.109,73.426,67.535,71.264,68.953,67.251,71.768,71.921,71.871,71.851,71.632,69.452,71.255,70.552,66.821,71.678,69.169,64.694,65.911,66.444,67.837,66.292,66.204,68.750,67.365,66.762,63.921,64.456,68.935,65.545,67.064,65.061,70.330,68.825,69.569,68.535,67.105,69.261,68.755,65.682,66.567,65.423,65.763,64.840,69.746,64.453,68.090,67.135,68.582,66.649</history> This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 03:53:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event. Forecast the traffic in the next 150 minutes, from 2025-10-07 03:54:00 to 2025-10-07 06:23:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
context_implicit/template4/item0
GIFT synthesize
phase_change
T
7200.378,4592.884,6222.893,7077.956,6839.441,6452.646,8114.307,8619.239,9369.519,7023.154,9057.831,7664.191,8683.972,8554.980,7787.065,8361.943,8110.618,7815.972,6504.497,8409.822,7445.998,8013.396,7767.750,6884.176,5946.087,6373.278,5146.195,5302.175,6665.887,7962.915,6863.586,7372.069,7724.296,8854.848,7226.928,8265.475,5569.425,6733.470,5991.263,6151.774,5783.967,7238.565,5740.954,6690.762,5554.542,7328.594,7099.324,7371.247,8195.986,6131.619,7977.348,7562.781,8708.602,8527.011,9920.178,8359.596,8382.428,8835.933,7911.521,7216.254,7114.169,6570.131,6430.128,6025.049,6696.760,5290.756,6694.652,6517.372,7391.151,8568.888,8789.999,8920.870,7996.616,6410.387,7629.516,5224.742,4467.449,3650.800,3578.057,4883.958,4766.060,5468.696,6523.029,8161.592,9344.360,8693.139,9262.632,9268.384,8305.839,7326.906,6572.566,5244.355,5497.057,5357.997,6122.977,6521.479,6536.324,9905.282,8418.725,7831.850,8316.622,8530.071,9023.799,6602.153,7399.712,5672.658,4418.882,6482.818,6264.494,6278.629,7298.609,4777.957,6184.133,5808.703,5130.295,7461.498,6026.916,6675.775,5692.787,5545.238,6073.082,5848.657,5814.607,6945.349,7360.322,5462.661,7589.220,6270.476,7234.027,7794.853,7252.921,6489.312,5460.034,6485.374,6158.565,5961.982,6329.724,4909.806,6205.163,5417.187,3759.459,5694.917,6493.166,5439.910,6098.826,4984.887,6773.506,6462.675,6663.985,6649.908,6631.290,6389.463,6645.114,6746.994,7677.252,6033.325,5318.925,6070.130,7339.050,7233.032,8106.916,6088.979,6004.577,5488.043,4689.803,4356.433,4108.604,3359.908,3464.056,2671.931,3079.307,4495.488,4437.083,5292.259,6343.555,6621.017,6258.533,6730.700,4772.432,5158.517,4935.510,6192.854,4970.858,6136.168,5329.488,6186.737,6550.291,6266.095,6565.978,6518.932,6845.399,6116.612,5108.398,4679.156,3553.581,4111.658,6067.297,2620.957,4461.390,3360.467,3353.510,5096.151,3877.711,4457.282,4624.380,5003.954,3432.245,3676.794,4696.520,20592.071,31832.865,43281.216,49995.109,49078.253,48171.613,47717.368,48976.332,47812.137,48231.808,48227.677,47833.088,47804.649,47889.544,48983.497,50181.016,48368.641,48263.182,49328.451,48510.904,46541.504,46812.910,48066.496,46735.448,46519.572,47752.497,46249.967,47329.143,51239.135,51177.109,49334.452,49216.254,49799.773,47954.823,48592.109,46036.501,45146.652,46829.822,47115.578,47706.696,46167.164,46348.197,47846.787,49369.584,49098.295,48122.274,46990.707,47574.833,45916.830,48605.621,47013.644,45213.836,47116.634,45259.707,46902.383
2025-10-07 00:00:00
2025-10-07 04:23:00
44274.600,46180.358,45372.796,45200.444,47909.012,45739.829,46900.637,46271.819,48341.060,45930.607,45164.682,47631.788,46440.244,47387.428,47019.544,47740.154,45885.525,46337.318,46477.850,47590.830,45501.922,45668.269,46580.702,47614.048,45089.559,46205.832,46884.223,47932.492,46483.092,45503.013,46543.293,45508.449,45815.863,45887.571,45722.971,44621.275,43978.114,45174.961,44771.266,45046.526,43379.080,45237.498,44568.153,43774.960,45117.499,44660.447,43990.967,44689.439,43706.409,46097.911,44647.296,44654.124,42307.796,43682.514,43450.196,44411.116,44881.132,45998.946,46898.046,45341.696,46462.828,47173.819,47777.264,45002.384,44803.773,44795.224,43678.929,43123.965,41947.335,44561.536,43393.687,44847.862,45867.831,45581.865,45189.790,45733.415,45304.769,44424.444,44172.272,42957.965,42987.857,43173.211,42111.589,42457.703,42429.072,43213.711,40067.583,40969.152,42341.558,42185.014,40984.908,41203.371,42672.688,43551.175,42552.933,42697.334,43084.876,43806.342,42907.359,43151.220,42866.871,44725.433,43687.973,43675.382,42487.028,42472.672,44328.128,44611.915,44750.843,43360.623,44912.103,43912.363,46094.037,43550.695,41221.535,43132.936,41221.392,42088.552,41155.076,40706.161
2025-10-07 04:24:00
2025-10-07 06:23:00
,
120
You are a helpful assistant for time series forecasting. Think step by step to make a prediction.
Forecast the traffic in the next 120 minutes, from 2025-10-07 04:24:00 to 2025-10-07 06:23:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 04:23:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event.
<history>7200.378,4592.884,6222.893,7077.956,6839.441,6452.646,8114.307,8619.239,9369.519,7023.154,9057.831,7664.191,8683.972,8554.980,7787.065,8361.943,8110.618,7815.972,6504.497,8409.822,7445.998,8013.396,7767.750,6884.176,5946.087,6373.278,5146.195,5302.175,6665.887,7962.915,6863.586,7372.069,7724.296,8854.848,7226.928,8265.475,5569.425,6733.470,5991.263,6151.774,5783.967,7238.565,5740.954,6690.762,5554.542,7328.594,7099.324,7371.247,8195.986,6131.619,7977.348,7562.781,8708.602,8527.011,9920.178,8359.596,8382.428,8835.933,7911.521,7216.254,7114.169,6570.131,6430.128,6025.049,6696.760,5290.756,6694.652,6517.372,7391.151,8568.888,8789.999,8920.870,7996.616,6410.387,7629.516,5224.742,4467.449,3650.800,3578.057,4883.958,4766.060,5468.696,6523.029,8161.592,9344.360,8693.139,9262.632,9268.384,8305.839,7326.906,6572.566,5244.355,5497.057,5357.997,6122.977,6521.479,6536.324,9905.282,8418.725,7831.850,8316.622,8530.071,9023.799,6602.153,7399.712,5672.658,4418.882,6482.818,6264.494,6278.629,7298.609,4777.957,6184.133,5808.703,5130.295,7461.498,6026.916,6675.775,5692.787,5545.238,6073.082,5848.657,5814.607,6945.349,7360.322,5462.661,7589.220,6270.476,7234.027,7794.853,7252.921,6489.312,5460.034,6485.374,6158.565,5961.982,6329.724,4909.806,6205.163,5417.187,3759.459,5694.917,6493.166,5439.910,6098.826,4984.887,6773.506,6462.675,6663.985,6649.908,6631.290,6389.463,6645.114,6746.994,7677.252,6033.325,5318.925,6070.130,7339.050,7233.032,8106.916,6088.979,6004.577,5488.043,4689.803,4356.433,4108.604,3359.908,3464.056,2671.931,3079.307,4495.488,4437.083,5292.259,6343.555,6621.017,6258.533,6730.700,4772.432,5158.517,4935.510,6192.854,4970.858,6136.168,5329.488,6186.737,6550.291,6266.095,6565.978,6518.932,6845.399,6116.612,5108.398,4679.156,3553.581,4111.658,6067.297,2620.957,4461.390,3360.467,3353.510,5096.151,3877.711,4457.282,4624.380,5003.954,3432.245,3676.794,4696.520,20592.071,31832.865,43281.216,49995.109,49078.253,48171.613,47717.368,48976.332,47812.137,48231.808,48227.677,47833.088,47804.649,47889.544,48983.497,50181.016,48368.641,48263.182,49328.451,48510.904,46541.504,46812.910,48066.496,46735.448,46519.572,47752.497,46249.967,47329.143,51239.135,51177.109,49334.452,49216.254,49799.773,47954.823,48592.109,46036.501,45146.652,46829.822,47115.578,47706.696,46167.164,46348.197,47846.787,49369.584,49098.295,48122.274,46990.707,47574.833,45916.830,48605.621,47013.644,45213.836,47116.634,45259.707,46902.383</history> This time series records the traffic of a webiste. The traffic was recorded from 2025-10-07 00:00:00 to 2025-10-07 04:23:00 with the minutes (T) frequency. The webmaster ran an online event, leading to an increase of traffic. The traffic is expected to be high to the rest of the event. Forecast the traffic in the next 120 minutes, from 2025-10-07 04:24:00 to 2025-10-07 06:23:00, of this time series. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','.
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Gift-EvalCTX Parquet

This repository hosts the GIFT-EvalCTX dataset in parquet format, highly compatible with LLMs. Each row is a sample of the dataset and contain the following fields:

  • idx: unique id of the sample
  • source: source of the same
  • skill: the types of context
  • frequency: frequency of the sample
  • history_values: a string containing values of the history
  • history_start: starting timestamp of the history
  • history_end: ending timestamp of the history
  • future_values: a string containing values of the forecasting future
  • future_start: starting timestamp of the future
  • future_end: ending timestamp of the future
  • entry_sep: separator used to split the string in history_values, future_values, and roi into array of floats
  • roi: region of interest, indicating the indices of the timestamp that are affected by the context and used in evaluation
  • pred_length: number of timestamps to forecast
  • system_prompt: default system prompt
  • user_instruct: query to forecast
  • context_info: context for the current sample
  • prompt: a complete prompt to query LLM

Note that all fields contain string only, you need to convert them into the appropriate format (array of floats, or datetime).

Example usage

from datasets import load_dataset

ds = load_dataset(
    "Salesforce/GiftEvalCTX",
    "gift_ctx",
    split="train"
)
print(len(ds))
print(ds[0].keys())

This repository is made public for research purposes only.

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