id stringlengths 21 21 | task stringclasses 1
value | language stringclasses 2
values | difficulty stringclasses 3
values | question stringlengths 3.02k 34.1k | answer stringlengths 1 9 | solution stringlengths 914 2.13k |
|---|---|---|---|---|---|---|
array_formula_en_0000 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Salmon | Fruit | 3200 | 109 | 10 | S-04 | North
2 | Bread | Fruit | 1900 | 33 | 10 | S-06 | North
3 | Fig | Fruit |... | 7395000 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0001 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Anchovy | Dairy | 1500 | 69 | 0 | S-02 | East
2 | Lime | Meat | 2500 | 152 | 20 | S-08 | North
3 | Mushroom | Fruit... | 8692300 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0002 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Watermelon | Dairy | 1400 | 116 | 10 | S-11 | East
2 | Makgeolli | Meat | 4000 | 56 | 5 | S-06 | South
3 | Pepper |... | 1010500 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0003 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Raspberry | Vegetable | 2200 | 168 | 20 | S-03 | East
2 | IceCream | Seafood | 4000 | 55 | 5 | S-05 | East
3 | Milk... | 1565500 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0004 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Makgeolli | Seafood | 4300 | 58 | 15 | S-12 | East
2 | Juice | Beverage | 3700 | 108 | 5 | S-11 | South
3 | Lime | ... | 2109700 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0005 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Cherry | Fruit | 4600 | 191 | 15 | S-09 | North
2 | Strawberry | Fruit | 800 | 62 | 20 | S-02 | East
3 | Plum | Sea... | 5876400 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0006 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Coffee | Fruit | 3400 | 83 | 0 | S-05 | North
2 | Sausage | Meat | 2700 | 21 | 15 | S-02 | South
3 | GreenTea | Dai... | 2188300 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0007 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Egg | Vegetable | 1000 | 123 | 5
2 | Crab | Fruit | 3900 | 71 | 20
3 | Anchovy | Beverage | 3300 | 160 | 20
4 | Tofu | Vegetable | 600 | 108 | 10
5 | Fig | Fruit... | 20 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0008 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Pepper | Beverage | 3100 | 122 | 15 | S-01 | East
2 | Melon | Meat | 4100 | 171 | 5 | S-03 | West
3 | Banana | Dair... | 9291600 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0009 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Yogurt | Seafood | 1900 | 195 | 15 | S-09 | East
2 | Jerky | Dairy | 1400 | 40 | 5 | S-03 | North
3 | Cereal | Grai... | 1078200 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0010 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Coffee | Fruit | 4600 | 79 | 20 | S-01 | West
2 | Juice | Seafood | 2200 | 127 | 15 | S-10 | East
3 | Crab | Bevera... | 1813000 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0011 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | FishCake | Beverage | 2400 | 111 | 20
2 | Egg | Meat | 700 | 10 | 15
3 | Makgeolli | Seafood | 1600 | 197 | 5
4 | Mango | Beverage | 1800 | 25 | 20
5 | Pepper | ... | 755620 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0012 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Soju | Grain | 4800 | 185 | 20 | S-01 | South
2 | Kiwi | Grain | 3800 | 137 | 15 | S-07 | North
3 | IceCream | Grai... | 1293300 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0013 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Onion | Meat | 2100 | 111 | 20 | S-01 | North
2 | Jerky | Fruit | 1800 | 178 | 20 | S-01 | East
3 | Sprite | Meat |... | 2112000 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0014 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Sprite | Meat | 700 | 146 | 20
2 | Salmon | Processed | 4200 | 90 | 15
3 | Peach | Beverage | 3900 | 74 | 10
4 | Milkshake | Dairy | 2600 | 10 | 5
5 | Egg | Seaf... | 313400 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0015 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Lime | Processed | 3100 | 51 | 5 | S-02 | West
2 | Kiwi | Processed | 700 | 198 | 20 | S-04 | North
3 | Onion | Mea... | 1039000 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0016 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Coconut | Fruit | 4600 | 15 | 10 | S-01 | East
2 | Strawberry | Processed | 3300 | 200 | 5 | S-02 | East
3 | GreenT... | 1888800 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0017 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Spinach | Vegetable | 4500 | 12 | 5 | S-01 | East
2 | Orange | Processed | 1300 | 193 | 20 | S-05 | North
3 | Water... | Fruit | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) Decide which tables to join (products/o... |
array_formula_en_0018 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Lobster | Vegetable | 3500 | 194 | 20 | S-07 | West
2 | Pomegranate | Fruit | 600 | 113 | 20 | S-05 | West
3 | Butt... | 2220500 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0019 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Salmon | Fruit | 600 | 179 | 20
2 | Brandy | Processed | 4800 | 160 | 5
3 | Juice | Seafood | 1500 | 108 | 15
4 | Cherry | Grain | 3700 | 105 | 20
5 | Bread | Be... | 520020 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0020 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Ramen | Fruit | 3400 | 109 | 20
2 | Spinach | Dairy | 3200 | 175 | 0
3 | Bacon | Fruit | 4500 | 93 | 5
4 | Orange | Grain | 4600 | 123 | 0
5 | Bread | Beverage |... | 10 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0021 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Chips | Meat | 500 | 199 | 15 | S-07 | East
2 | Apple | Meat | 3100 | 49 | 5 | S-11 | East
3 | Lettuce | Vegetable ... | 1823400 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0022 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Sprite | Vegetable | 800 | 13 | 20 | S-03 | South
2 | Melon | Grain | 2100 | 19 | 20 | S-05 | West
3 | Makgeolli | ... | 1122000 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0023 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Yogurt | Grain | 3500 | 118 | 5 | S-07 | South
2 | Mackerel | Grain | 1200 | 193 | 15 | S-02 | South
3 | Wine | Sea... | 1367500 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0024 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Cherry | Processed | 3000 | 117 | 15 | S-11 | North
2 | Pepper | Processed | 4100 | 35 | 20 | S-04 | West
3 | Water... | 1305300 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Lookup (INDEX/MATCH, VLOOKUP-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Decide which tables to join (products/orders/customers) ... |
array_formula_en_0025 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Lime | Meat | 4700 | 176 | 0 | S-07 | North
2 | Bread | Meat | 4400 | 125 | 15 | S-02 | East
3 | Pepper | Grain | 3... | 23 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0026 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Butter | Seafood | 4800 | 10 | 0 | S-08 | North
2 | Smoothie | Grain | 3300 | 106 | 5 | S-11 | East
3 | Tuna | Grai... | 24 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0027 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Smoothie | Beverage | 600 | 163 | 15
2 | Lime | Dairy | 700 | 28 | 10
3 | Tomato | Meat | 500 | 22 | 5
4 | GreenTea | Fruit | 3800 | 38 | 5
5 | Butter | Beverage... | 21 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0028 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Crab | Beverage | 900 | 57 | 20 | S-12 | South
2 | Onion | Seafood | 3100 | 188 | 15 | S-05 | South
3 | Dumpling | ... | 35 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0029 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Cookie | Vegetable | 2500 | 96 | 5 | S-01 | North
2 | Rice | Seafood | 5000 | 140 | 20 | S-08 | South
3 | Watermelo... | 15 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0030 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Mackerel | Processed | 4700 | 171 | 5 | S-06 | South
2 | Lemon | Beverage | 4000 | 191 | 15 | S-08 | North
3 | Carr... | 188 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0031 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Pear | Fruit | 2800 | 16 | 10
2 | Smoothie | Dairy | 4000 | 37 | 15
3 | Beer | Beverage | 2600 | 149 | 10
4 | Tomato | Processed | 4100 | 82 | 10
5 | Ramen | Pro... | 182 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0032 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Makgeolli | Grain | 2100 | 30 | 5
2 | IceCream | Vegetable | 2500 | 125 | 15
3 | Popcorn | Fruit | 3000 | 56 | 10
4 | Mushroom | Grain | 2200 | 110 | 0
5 | Spina... | 7651445 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0033 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Gum | Processed | 2300 | 74 | 10 | S-07 | North
2 | Kombucha | Dairy | 1600 | 120 | 10 | S-09 | West
3 | Seaweed | ... | 13 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0034 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Raspberry | Seafood | 2600 | 144 | 0 | S-01 | South
2 | Peanut | Processed | 4600 | 59 | 0 | S-12 | South
3 | Straw... | 5 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0035 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Strawberry | Processed | 4600 | 100 | 15 | S-02 | North
2 | Avocado | Dairy | 4600 | 40 | 10 | S-09 | North
3 | Jer... | 9 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0036 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Pomegranate | Vegetable | 1200 | 51 | 15 | S-11 | North
2 | Jerky | Beverage | 2400 | 50 | 5 | S-01 | East
3 | Appl... | 51 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0037 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Orange | Processed | 5000 | 79 | 0
2 | Apple | Seafood | 3800 | 44 | 5
3 | Tomato | Grain | 4300 | 105 | 20
4 | Strawberry | Processed | 2700 | 54 | 15
5 | Banan... | 6229390 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0038 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Walnut | Meat | 2300 | 53 | 20
2 | Butter | Fruit | 900 | 18 | 0
3 | Egg | Vegetable | 2600 | 103 | 0
4 | Pepper | Dairy | 3900 | 152 | 0
5 | Water | Fruit | 420... | 29 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0039 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Onion | Beverage | 1000 | 193 | 20 | S-10 | West
2 | Wine | Fruit | 4300 | 100 | 15 | S-08 | East
3 | Clam | Vegeta... | 97 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0040 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Grape | Fruit | 900 | 78 | 5 | S-12 | North
2 | Makgeolli | Seafood | 2600 | 56 | 20 | S-11 | North
3 | Garlic | Me... | 34 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0041 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Chips | Vegetable | 900 | 18 | 15 | S-02 | South
2 | Orange | Vegetable | 500 | 83 | 10 | S-04 | East
3 | Oyster | ... | 22 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0042 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Sausage | Vegetable | 4000 | 84 | 20 | S-09 | West
2 | Blueberry | Seafood | 3700 | 137 | 20 | S-10 | East
3 | Pear... | 27 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0043 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Banana | Beverage | 800 | 184 | 10 | S-02 | West
2 | Lime | Grain | 4000 | 181 | 5 | S-10 | East
3 | Cereal | Proce... | 32 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0044 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Shrimp | Processed | 600 | 66 | 0 | S-12 | East
2 | Blueberry | Seafood | 2500 | 115 | 10 | S-03 | South
3 | Ham | ... | 3 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0045 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Walnut | Dairy | 2900 | 108 | 15 | S-10 | North
2 | Coffee | Grain | 1500 | 118 | 0 | S-08 | South
3 | Chocolate | ... | 19 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0046 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Grape | Seafood | 1900 | 41 | 5 | S-04 | North
2 | Candy | Seafood | 800 | 169 | 5 | S-09 | East
3 | Fig | Processe... | 8 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0047 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Sausage | Grain | 4400 | 47 | 15 | S-10 | West
2 | Cucumber | Dairy | 1900 | 132 | 15 | S-01 | North
3 | Cola | Bev... | 41 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0048 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Apple | Grain | 1200 | 123 | 0
2 | Carrot | Fruit | 4900 | 52 | 15
3 | Chips | Seafood | 1500 | 132 | 5
4 | Tomato | Grain | 1400 | 107 | 20
5 | Squid | Beverage... | 5 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0049 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Bacon | Vegetable | 3300 | 93 | 5 | S-10 | East
2 | Kiwi | Dairy | 800 | 12 | 20 | S-11 | East
3 | Tuna | Meat | 25... | 63 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Conditional aggregation (SUMIF, COUNTIF-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Select rows that match the question’s **condi... |
array_formula_en_0050 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Yogurt | Processed | 4300 | 126 | 0
2 | Raspberry | Dairy | 3300 | 197 | 10
3 | FishCake | Seafood | 1300 | 39 | 10
4 | GreenTea | Grain | 4500 | 161 | 10
5 | Mu... | 1602600 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0051 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Jerky | Seafood | 1200 | 130 | 5 | S-08 | North
2 | Brandy | Grain | 1700 | 155 | 20 | S-02 | East
3 | Walnut | Dai... | 1536000 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0052 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Milk | Processed | 4800 | 145 | 15 | S-02 | North
2 | Gum | Seafood | 2700 | 35 | 15 | S-07 | North
3 | GreenTea | ... | 514000 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0053 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Beer | Beverage | 4300 | 20 | 15
2 | Crab | Grain | 2900 | 62 | 15
3 | Ramen | Vegetable | 1500 | 128 | 15
4 | Coffee | Processed | 2900 | 140 | 0
5 | Wine | Gra... | 2248300 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0054 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Candy | Dairy | 3600 | 185 | 5 | S-02 | West
2 | Lemon | Processed | 5000 | 160 | 5 | S-09 | North
3 | GreenTea | V... | 1012470 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0055 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Cereal | Dairy | 700 | 56 | 10 | S-11 | North
2 | Makgeolli | Processed | 2000 | 176 | 10 | S-12 | North
3 | Shrimp... | 1161700 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0056 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Pasta | Vegetable | 4700 | 166 | 15 | S-03 | South
2 | Walnut | Processed | 3100 | 11 | 10 | S-05 | West
3 | Orange... | 6182560 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0057 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Tuna | Seafood | 4700 | 13 | 0 | S-06 | East
2 | Cola | Meat | 3100 | 50 | 10 | S-06 | North
3 | Walnut | Beverage ... | 6956155 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0058 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Pasta | Vegetable | 4900 | 165 | 20
2 | Plum | Processed | 4000 | 20 | 10
3 | Almond | Fruit | 4700 | 42 | 15
4 | Rice | Dairy | 4900 | 98 | 20
5 | Jelly | Dairy... | 396265 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0059 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Candy | Meat | 2700 | 114 | 0 | S-12 | North
2 | Wine | Processed | 4800 | 171 | 10 | S-09 | North
3 | Orange | Sea... | 1680800 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0060 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Mango | Meat | 4100 | 71 | 5 | S-09 | South
2 | Garlic | Grain | 4100 | 108 | 5 | S-04 | East
3 | Coffee | Meat | 4... | 1629300 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0061 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Coconut | Fruit | 4100 | 83 | 20 | S-07 | West
2 | Butter | Fruit | 1500 | 163 | 10 | S-05 | North
3 | Peanut | Fru... | 1403500 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0062 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Seaweed | Fruit | 1900 | 110 | 10 | S-11 | East
2 | Coconut | Seafood | 1000 | 198 | 10 | S-06 | North
3 | Jerky | ... | 8043405 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0063 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Blueberry | Processed | 3300 | 129 | 20 | S-10 | South
2 | Jelly | Grain | 3900 | 182 | 10 | S-08 | West
3 | Lime |... | 958290 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0064 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Egg | Vegetable | 1000 | 123 | 5
2 | Crab | Fruit | 3900 | 71 | 20
3 | Anchovy | Beverage | 3300 | 160 | 20
4 | Tofu | Vegetable | 600 | 108 | 10
5 | Fig | Fruit... | 1982340 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0065 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Wine | Meat | 2000 | 79 | 15 | S-01 | South
2 | IceCream | Meat | 1200 | 17 | 20 | S-11 | West
3 | Milkshake | Beve... | 1061415 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0066 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Watermelon | Dairy | 4600 | 11 | 10 | S-03 | East
2 | Kiwi | Seafood | 4800 | 185 | 20 | S-06 | North
3 | Lime | Da... | 5890670 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0067 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Yogurt | Vegetable | 700 | 136 | 0 | S-02 | North
2 | Pear | Meat | 3000 | 151 | 20 | S-06 | West
3 | Smoothie | Ve... | 1936700 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0068 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Wine | Grain | 4500 | 182 | 10 | S-05 | East
2 | Lemon | Seafood | 3500 | 144 | 0 | S-04 | East
3 | Bread | Fruit |... | 766655 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0069 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Strawberry | Processed | 4700 | 177 | 20 | S-03 | South
2 | Egg | Vegetable | 1700 | 99 | 15 | S-01 | East
3 | Coff... | 1242490 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0070 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Coconut | Processed | 4600 | 113 | 5 | S-06 | East
2 | Dumpling | Dairy | 500 | 113 | 20 | S-05 | East
3 | Cherry |... | 1965300 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0071 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Peanut | Seafood | 4500 | 159 | 15 | S-11 | East
2 | Dumpling | Fruit | 4900 | 161 | 15 | S-05 | East
3 | Pasta | S... | 1366500 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0072 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Avocado | Processed | 1400 | 42 | 10 | S-08 | West
2 | Cheese | Vegetable | 4900 | 180 | 20 | S-05 | North
3 | Lime... | 6276130 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0073 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Tomato | Meat | 1000 | 121 | 10 | S-01 | North
2 | Watermelon | Beverage | 2100 | 26 | 5 | S-12 | South
3 | Onion |... | 5909735 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0074 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Watermelon | Dairy | 1500 | 198 | 20
2 | Water | Meat | 4700 | 181 | 20
3 | IceCream | Processed | 2700 | 62 | 20
4 | Yogurt | Meat | 800 | 100 | 0
5 | Cookie | ... | 251600 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Array computation (SUMPRODUCT-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) Align rows (orders↔products), build **per-element** qua... |
array_formula_en_0075 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Oyster | Meat | 4400 | 146 | 5 | S-09 | North
2 | Carrot | Vegetable | 1400 | 103 | 20 | S-04 | North
3 | Jelly | M... | 12 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0076 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Coconut | Vegetable | 3100 | 182 | 10 | S-03 | South
2 | Juice | Dairy | 4000 | 198 | 5 | S-02 | West
3 | Peach | S... | 1433210 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0077 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Peach | Beverage | 4700 | 10 | 10 | S-05 | South
2 | Cashew | Seafood | 1500 | 147 | 10 | S-09 | North
3 | Ramen | ... | Grain | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) With AND/OR conditions, **narrow the ... |
array_formula_en_0078 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Pomegranate | Vegetable | 2800 | 157 | 15 | S-07 | South
2 | Tomato | Dairy | 4900 | 68 | 10 | S-07 | South
3 | Fig... | 15 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0079 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Mushroom | Seafood | 5000 | 76 | 20 | S-05 | South
2 | Coffee | Processed | 3200 | 103 | 20 | S-12 | South
3 | Seaw... | 2583595 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0080 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Lime | Meat | 1800 | 162 | 10 | S-02 | North
2 | Water | Vegetable | 1300 | 116 | 5 | S-07 | North
3 | Avocado | Ve... | Fruit | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) With AND/OR conditions, **narrow the ... |
array_formula_en_0081 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Almond | Grain | 700 | 189 | 20 | S-02 | North
2 | Jelly | Fruit | 700 | 166 | 0 | S-02 | South
3 | Fig | Processed... | Processed | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) With AND/OR conditions, **narrow the ... |
array_formula_en_0082 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Cashew | Seafood | 4300 | 181 | 0 | S-10 | West
2 | Makgeolli | Meat | 2900 | 52 | 0 | S-06 | North
3 | Beer | Frui... | 9 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0083 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Fig | Vegetable | 4100 | 36 | 15 | S-04 | West
2 | IceCream | Processed | 800 | 147 | 20 | S-08 | South
3 | Peach |... | 1751440 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0084 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Chocolate | Dairy | 1500 | 34 | 0 | S-04 | East
2 | Milkshake | Fruit | 1300 | 25 | 0 | S-01 | South
3 | Kiwi | Veg... | Processed | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) With AND/OR conditions, **narrow the ... |
array_formula_en_0085 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Mackerel | Fruit | 800 | 85 | 15 | S-01 | North
2 | Milk | Dairy | 3700 | 73 | 20 | S-02 | East
3 | Clam | Processe... | Busan | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) With AND/OR conditions, **narrow the ... |
array_formula_en_0086 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Lobster | Dairy | 600 | 145 | 15 | S-10 | East
2 | Melon | Vegetable | 500 | 53 | 0 | S-07 | North
3 | Candy | Dair... | 1938130 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0087 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Salmon | Beverage | 4500 | 38 | 20 | S-05 | West
2 | Brandy | Fruit | 1600 | 124 | 10 | S-10 | North
3 | Ham | Beve... | 2045050 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0088 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Blueberry | Processed | 4800 | 68 | 10 | S-02 | North
2 | Whiskey | Dairy | 1400 | 62 | 5 | S-02 | South
3 | Milksh... | 1344295 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0089 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Pomegranate | Seafood | 1600 | 182 | 0
2 | Tofu | Grain | 2500 | 196 | 20
3 | Popcorn | Grain | 2700 | 31 | 15
4 | Seaweed | Vegetable | 3300 | 178 | 0
5 | Cooki... | 138 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0090 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Spinach | Fruit | 3400 | 193 | 10 | S-08 | West
2 | Tuna | Processed | 3600 | 121 | 10 | S-07 | West
3 | Pasta | Gr... | 2707970 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0091 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Pepper | Seafood | 600 | 130 | 5 | S-10 | North
2 | Makgeolli | Fruit | 3400 | 156 | 5 | S-08 | North
3 | Brandy | ... | Processed | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) With AND/OR conditions, **narrow the ... |
array_formula_en_0092 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Strawberry | Grain | 800 | 82 | 0 | S-02 | West
2 | Seaweed | Dairy | 1100 | 169 | 10 | S-05 | West
3 | Lemon | Dai... | 2011750 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0093 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Cashew | Vegetable | 3600 | 112 | 5 | S-02 | South
2 | Cherry | Seafood | 3800 | 42 | 5 | S-08 | South
3 | Chips | ... | 2093200 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0094 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Tuna | Vegetable | 500 | 105 | 15 | S-09 | West
2 | Water | Beverage | 500 | 135 | 0 | S-03 | South
3 | Pasta | Veg... | 20 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0095 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Jelly | Meat | 900 | 34 | 10
2 | Apple | Fruit | 2200 | 135 | 5
3 | Brandy | Meat | 1600 | 99 | 20
4 | Mackerel | Dairy | 4900 | 171 | 0
5 | Pomegranate | Grain ... | 0 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0096 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount
--------------------------------------------------
1 | Banana | Dairy | 2100 | 66 | 0
2 | Egg | Processed | 2400 | 150 | 20
3 | Makgeolli | Grain | 4300 | 89 | 15
4 | Carrot | Grain | 2800 | 146 | 20
5 | Squid | Beve... | 297800 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0097 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Squid | Dairy | 3000 | 109 | 20 | S-09 | South
2 | Gum | Beverage | 3600 | 23 | 20 | S-09 | West
3 | Lemon | Grain ... | 2217700 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
array_formula_en_0098 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Almond | Vegetable | 600 | 123 | 10 | S-07 | South
2 | Bacon | Dairy | 3100 | 153 | 10 | S-10 | North
3 | Salmon | ... | Meat | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: text (match the problem wording exactly)
- (How to read the task) With AND/OR conditions, **narrow the ... |
array_formula_en_0099 | array_formula | en | easy | The following is spreadsheet data.
[Products Table]
id | product | category | price | stock | discount | supplier | warehouse
-------------------------------------------------------------------------
1 | Sausage | Processed | 4800 | 113 | 10 | S-12 | North
2 | Clam | Meat | 2300 | 153 | 15 | S-08 | North
3 | Almond | ... | 1441255 | STEP0=meta · STEP1=given · STEP2=worked solution · STEP3=answer and verification
[STEP 0] Problem meta
- Problem type: Multi-criteria (SUMIFS, MAXIFS-style)
- Difficulty: easy
- How to state the final answer: numeric only (no units)
- (How to read the task) With AND/OR conditions, **narrow the row set stepwise*... |
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