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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'stage_1_reasoning', 'stage_2_reasoning', 'scale', 'global'}) and 1 missing columns ({'higher_level'}).
This happened while the json dataset builder was generating data using
hf://datasets/HappyBug/LRS-GRO/data/sft-00000-of-00001.jsonl.jsonl (at revision 869acdcdd13eb9b6687871c96101fe431d202dec)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
question_id: string
image_name: string
category: string
question: string
ground_truth: string
type: string
label: string
cut: bool
global: string
stage_1_reasoning: string
stage_2_reasoning: string
bbox: list<item: int64>
child 0, item: int64
scale: double
split: string
to
{'question_id': Value('string'), 'image_name': Value('string'), 'category': Value('string'), 'question': Value('string'), 'ground_truth': Value('string'), 'type': Value('string'), 'label': Value('string'), 'cut': Value('bool'), 'bbox': List(Value('int64')), 'split': Value('string'), 'higher_level': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1334, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 911, in stream_convert_to_parquet
builder._prepare_split(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'stage_1_reasoning', 'stage_2_reasoning', 'scale', 'global'}) and 1 missing columns ({'higher_level'}).
This happened while the json dataset builder was generating data using
hf://datasets/HappyBug/LRS-GRO/data/sft-00000-of-00001.jsonl.jsonl (at revision 869acdcdd13eb9b6687871c96101fe431d202dec)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
question_id string | image_name string | category string | question string | higher_level null | ground_truth string | bbox list | type string | split string | label string | cut bool |
|---|---|---|---|---|---|---|---|---|---|---|
LRS-GRO-3512 | 6270.tif | Scene Type | what is the main type of area shown in this image - residential, port, or farmland? | null | port | [] | global | test | null | false |
LRS-GRO-3513 | 6270.tif | Object category refinement | Is the right-side semicircular landscaped area mainly covered with grass or pavement? | null | grass | [
807,
460,
856,
500
] | object | test | right-side semicircular landscaped area | true |
LRS-GRO-3514 | 6270.tif | Object relative position / context | What is located directly to the left of the right-side semicircular landscaped area? | null | a parking lot | [
807,
460,
856,
500
] | object | test | right-side semicircular landscaped area | true |
LRS-GRO-3515 | 6270.tif | Function | Is the port facility connected to road infrastructure in this scene? | null | Yes | [] | global | test | null | false |
LRS-GRO-3516 | 6270.tif | Object state / motion / activity | Is the right-side semicircular landscaped area well-maintained or overgrown? | null | well-maintained | [
807,
460,
856,
500
] | object | test | right-side semicircular landscaped area | true |
LRS-GRO-3517 | 6270.tif | Object color / pattern | What color is the vegetation in the right-side semicircular landscaped area? | null | green | [
807,
460,
856,
500
] | object | test | right-side semicircular landscaped area | true |
LRS-GRO-3518 | 6270.tif | Urban-Rural | Does this image mainly depict an urban or industrial area? | null | industrial | [] | global | test | null | false |
LRS-GRO-3519 | test-799.png | Object material / surface | Does the edge of the top-most pond have vegetation or bare soil? | null | vegetation | [
486,
1,
560,
77
] | object | test | top-most pond | true |
LRS-GRO-3520 | test-470.png | Object color / pattern | What color is the water in the right-most outdoor swimming pool? | null | blue | [
959,
593,
974,
611
] | object | test | right-most outdoor swimming pool | true |
LRS-GRO-3521 | test-799.png | Urban-Rural | Does this image mainly depict an urban or rural area? | null | rural | [] | global | test | null | false |
LRS-GRO-3522 | test-799.png | Object shape / structure | Is the outline of the top-most pond mostly circular or irregular? | null | irregular | [
486,
1,
560,
77
] | object | test | top-most pond | true |
LRS-GRO-3523 | test-799.png | Season | Based on the vegetation and overall appearance, which season does the scene appear to be? | null | Summer | [] | global | test | null | false |
LRS-GRO-3524 | test-470.png | Urban-Rural | Does this image mainly depict an urban or rural area? | null | Urban | [] | global | test | null | false |
LRS-GRO-3525 | test-470.png | Object relative position / context | Is there a building directly adjacent to the right-most outdoor swimming pool? | null | yes | [
959,
593,
974,
611
] | object | test | right-most outdoor swimming pool | true |
LRS-GRO-3526 | test-470.png | Scene Type | what is the main type of area shown in this image - industrial, commercial, or residential? | null | Residential | [] | global | test | null | false |
LRS-GRO-3527 | test-799.png | Object relative position / context | What is located directly to the south of the top-most pond? | null | long rectangular buildings | [
486,
1,
560,
77
] | object | test | top-most pond | true |
LRS-GRO-3528 | test-799.png | Object state / motion / activity | Does the surface of the top-most pond appear calm or disturbed? | null | calm | [
486,
1,
560,
77
] | object | test | top-most pond | true |
LRS-GRO-3529 | test-799.png | Object function / usage | What is the likely function of the top-most pond based on its surroundings? | null | water source for nearby equestrian facility | [
486,
1,
560,
77
] | object | test | top-most pond | true |
LRS-GRO-3530 | test-470.png | Object shape / structure | Is the right-most outdoor swimming pool circular or rectangular in shape? | null | circular | [
959,
593,
974,
611
] | object | test | right-most outdoor swimming pool | true |
LRS-GRO-3531 | test-470.png | Counting | How many large commercial buildings with expansive parking lots are visible in the image? | null | 1 | [] | global | test | null | false |
LRS-GRO-3532 | test-799.png | Scene Type | what is the main type of area shown in this image - residential, agricultural, or industrial? | null | Residential | [] | global | test | null | false |
LRS-GRO-3533 | test-470.png | Object function / usage | Does the right-most outdoor swimming pool appear to be part of an apartment complex or a private residence? | null | apartment complex | [
959,
593,
974,
611
] | object | test | right-most outdoor swimming pool | true |
LRS-GRO-3534 | test-470.png | Object relative position / context | What is located directly to the right of the largest white-roofed commercial building in the bottom-right area? | null | loading dock area | [
713,
732,
863,
828
] | object | test | largest white-roofed commercial building in the bottom-right area | true |
LRS-GRO-3535 | test-470.png | Object material / surface | Is the right-most outdoor swimming pool surrounded by a deck or by grass? | null | deck | [
959,
593,
974,
611
] | object | test | right-most outdoor swimming pool | true |
LRS-GRO-3536 | test-470.png | Object color / pattern | What color are the walls beneath the roof of the largest white-roofed commercial building in the bottom-right area? | null | light orange | [
713,
732,
863,
828
] | object | test | largest white-roofed commercial building in the bottom-right area | true |
LRS-GRO-3537 | 0830.png | Object material / surface | Does the right-most side-by-side tennis court area appear to have a hard court or grass surface? | null | hard court | [
972,
338,
1022,
392
] | object | test | right-most side-by-side tennis court area | true |
LRS-GRO-3538 | test-470.png | Region status | Is the top-right residential neighborhood densely built or sparsely built? | null | densely built | [
519,
1,
853,
138
] | region | test | top-right residential neighborhood | true |
LRS-GRO-3539 | test-470.png | Object category refinement | Is the largest white-roofed commercial building in the bottom-right area a warehouse or a shopping center? | null | shopping center | [
713,
732,
863,
828
] | object | test | largest white-roofed commercial building in the bottom-right area | true |
LRS-GRO-3540 | 0830.png | Object relative position / context | What is located to the rightq of the right-most side-by-side tennis court area? | null | trees | [
972,
338,
1022,
392
] | object | test | right-most side-by-side tennis court area | true |
LRS-GRO-3541 | test-470.png | Object material / surface | Does the roof of the largest white-roofed commercial building in the bottom-right area appear to be made of metal or some other material? | null | metal | [
713,
732,
863,
828
] | object | test | largest white-roofed commercial building in the bottom-right area | true |
LRS-GRO-3542 | test-470.png | Object shape / structure | Is the roof of the largest white-roofed commercial building in the bottom-right area flat or sloped? | null | flat | [
713,
732,
863,
828
] | object | test | largest white-roofed commercial building in the bottom-right area | true |
LRS-GRO-3543 | test-470.png | Region function | What is the primary function of the top-right residential neighborhood? | null | housing | [
519,
1,
853,
138
] | region | test | top-right residential neighborhood | true |
LRS-GRO-3544 | test-470.png | Object existence | Are there any swimming pools in the top-right residential neighborhood? | null | no | [
519,
1,
853,
138
] | region | test | top-right residential neighborhood | true |
LRS-GRO-3545 | test-470.png | Other visual features | Are most roofs in the top-right residential neighborhood brown? | null | no | [
519,
1,
853,
138
] | region | test | top-right residential neighborhood | true |
LRS-GRO-3546 | test-470.png | Object state / motion / activity | Is the parking lot in front of the largest white-roofed commercial building in the bottom-right area mostly full or mostly empty? | null | mostly full | [
713,
732,
863,
828
] | object | test | largest white-roofed commercial building in the bottom-right area | true |
LRS-GRO-3547 | 0830.png | Object category refinement | Are the courts in the right-most side-by-side tennis court area tennis courts or pickleball courts? | null | tennis courts | [
972,
338,
1022,
392
] | object | test | right-most side-by-side tennis court area | true |
LRS-GRO-3548 | 0830.png | Counting | How many large sports fields with running tracks are visible in the image? | null | 3 | [] | global | test | null | false |
LRS-GRO-3549 | 0830.png | Object state / motion / activity | Are there any players currently on the right-most side-by-side tennis court area? | null | no | [
972,
338,
1022,
392
] | object | test | right-most side-by-side tennis court area | true |
LRS-GRO-3550 | test-470.png | Object category | What type of buildings are mainly present in the top-right residential neighborhood? | null | houses | [
519,
1,
853,
138
] | region | test | top-right residential neighborhood | true |
LRS-GRO-3551 | 0830.png | Object color / pattern | Is the playing surface of the right-most side-by-side tennis court area mainly blue or green? | null | blue | [
972,
338,
1022,
392
] | object | test | right-most side-by-side tennis court area | true |
LRS-GRO-3552 | 0830.png | Object shape / structure | Does the right-most side-by-side tennis court area have a rectangular or circular layout? | null | rectangular | [
972,
338,
1022,
392
] | object | test | right-most side-by-side tennis court area | true |
LRS-GRO-3553 | 0830.png | Object function / usage | Is the right-most side-by-side tennis court area used for recreational or professional tennis? | null | recreational | [
972,
338,
1022,
392
] | object | test | right-most side-by-side tennis court area | true |
LRS-GRO-3554 | 4225.tif | Scene Type | what is the main type of area shown in this image - residential, farmland, or port? | null | port | [] | global | test | null | false |
LRS-GRO-3555 | 0830.png | Scene Type | what is the main type of area shown - residential, industrial, or agricultural? | null | residential | [] | global | test | null | false |
LRS-GRO-3556 | 4225.tif | Region function | What is the primary function of the left-side red-roofed building complex? | null | administrative | [
0,
475,
83,
629
] | region | test | left-side red-roofed building complex | true |
LRS-GRO-3557 | 4225.tif | Other visual features | Are most roofs in the left-side red-roofed building complex green-colored? | null | no | [
0,
475,
83,
629
] | region | test | left-side red-roofed building complex | true |
LRS-GRO-3558 | 4225.tif | Counting | How many container cranes are visible in the container crane docking area? | null | 3 | [
1,
250,
240,
448
] | region | test | container crane docking area | true |
LRS-GRO-3559 | 4225.tif | Urban-Rural | Does this image mainly depict an urban or rural waterfront area? | null | urban | [] | global | test | null | false |
LRS-GRO-3560 | test-799.png | Object color / pattern | Does the water in the top-most pond appear green or blue? | null | green | [
486,
1,
560,
77
] | object | test | top-most pond | true |
LRS-GRO-3561 | 4225.tif | Other visual features | What letters are painted on the container crane docking area tops? | null | O, R, T | [
1,
250,
240,
448
] | region | test | container crane docking area | true |
LRS-GRO-3562 | test-995.png | Object shape / structure | Is the longest curved vehicle bridge straight or curved? | null | curved | [
735,
263,
847,
857
] | object | test | longest curved vehicle bridge | true |
LRS-GRO-3563 | 4225.tif | Object category | What type of vessels are docked in the container crane docking area? | null | container ships | [
1,
250,
240,
448
] | region | test | container crane docking area | true |
LRS-GRO-3564 | 4225.tif | Object existence | Are there any ships docked at the container crane docking area? | null | yes | [
1,
250,
240,
448
] | region | test | container crane docking area | true |
LRS-GRO-3565 | test-995.png | Urban-Rural | Does this image mainly depict an urban or rural area? | null | rural | [] | global | test | null | false |
LRS-GRO-3566 | test-995.png | Scene Type | what is the main type of area shown in this image - residential, industrial, or agricultural? | null | residential | [] | global | test | null | false |
LRS-GRO-3567 | test-995.png | Counting | How many bridges crossing the river are visible in the image? | null | 2 | [] | global | test | null | false |
LRS-GRO-3568 | test-995.png | Object color / pattern | What color is the surface of the longest curved vehicle bridge? | null | white | [
735,
263,
847,
857
] | object | test | longest curved vehicle bridge | true |
LRS-GRO-3569 | test-995.png | Object material / surface | Is the longest curved vehicle bridge made of metal or concrete? | null | concrete | [
735,
263,
847,
857
] | object | test | longest curved vehicle bridge | true |
LRS-GRO-3570 | 16295.tif | Region status | Is the densest building cluster on the right side primarily residential or industrial? | null | residential | [
794,
422,
1018,
591
] | region | test | densest building cluster on the right side | true |
LRS-GRO-3571 | test-995.png | Object state / motion / activity | Are there vehicles currently moving on the longest curved vehicle bridge? | null | yes | [
735,
263,
847,
857
] | object | test | longest curved vehicle bridge | true |
LRS-GRO-3572 | 16295.tif | Region function | What is the main function of the left trapezoidal striped area?q | null | agriculture | [
42,
301,
183,
466
] | region | test | left trapezoidal striped farmland | true |
LRS-GRO-3573 | test-995.png | Object existence | Are there any boats moored at the docks in the top-left residential canal area? | null | yes | [
0,
6,
420,
388
] | region | test | top-left residential canal area | true |
LRS-GRO-3574 | test-995.png | Object relative position / context | What is located beneath the longest curved vehicle bridge? | null | water and marshland | [
735,
263,
847,
857
] | object | test | longest curved vehicle bridge | true |
LRS-GRO-3575 | 16295.tif | Scene Type | what is the main type of area shown in this image - airport, residential, or farmland? | null | airport | [] | global | test | null | false |
LRS-GRO-3576 | 16295.tif | Region function | What is the main function of the densest building cluster on the right side? | null | housing | [
794,
422,
1018,
591
] | region | test | densest building cluster on the right side | true |
LRS-GRO-3577 | 16295.tif | Object category | What types of structures dominate the densest building cluster on the right side? | null | houses | [
794,
422,
1018,
591
] | region | test | densest building cluster on the right side | true |
LRS-GRO-3578 | test-995.png | Region function | What is the main function of the top-left residential canal area? | null | residential living | [
0,
6,
420,
388
] | region | test | top-left residential canal area | true |
LRS-GRO-3579 | test-995.png | Object category | What type of buildings dominate the top-left residential canal area? | null | houses | [
0,
6,
420,
388
] | region | test | top-left residential canal area | true |
LRS-GRO-3580 | test-995.png | Region status | Is the top-left residential canal area densely built or spacious? | null | spacious | [
0,
6,
420,
388
] | region | test | top-left residential canal area | true |
LRS-GRO-3581 | test-995.png | Other visual features | Are most roofs in the top-left residential canal area red or brown? | null | red | [
0,
6,
420,
388
] | region | test | top-left residential canal area | true |
LRS-GRO-3582 | 16295.tif | Object category | What is the main type of surface visible in the left trapezoidal striped farmland? | null | greenhouse covers | [
42,
301,
183,
466
] | region | test | left trapezoidal striped farmland | true |
LRS-GRO-3583 | 16295.tif | Region status | Is the left trapezoidal striped farmland currently in use? | null | yes | [
42,
301,
183,
466
] | region | test | left trapezoidal striped farmland | true |
LRS-GRO-3584 | 16295.tif | Urban-Rural | Does this image mainly depict an urban or rural area? | null | rural | [] | global | test | null | false |
LRS-GRO-3585 | test-204.png | Object state / motion / activity | Is the largest highway overpass bridge currently being used by vehicles? | null | yes | [
245,
268,
326,
330
] | object | test | largest highway overpass bridge | true |
LRS-GRO-3586 | test-204.png | Object color / pattern | What color is the surface of the largest highway overpass bridge? | null | gray | [
245,
268,
326,
330
] | object | test | largest highway overpass bridge | true |
LRS-GRO-3587 | test-204.png | Object relative position / context | What is located beneath the largest highway overpass bridge? | null | another highway | [
245,
268,
326,
330
] | object | test | largest highway overpass bridge | true |
LRS-GRO-3588 | test-204.png | Scene Type | what is the main type of area shown in this image - coastal, farmland, or highway interchange? | null | highway interchange | [] | global | test | null | false |
LRS-GRO-3589 | 0250.png | Object relative position / context | What is located directly to the left of the bottom-most parked airplane? | null | taxiway | [
708,
869,
723,
881
] | object | test | bottom-most parked airplane | true |
LRS-GRO-3590 | 0250.png | Object shape / structure | Does the bottom-most parked airplane have a single or double row of passenger windows? | null | single | [
708,
869,
723,
881
] | object | test | bottom-most parked airplane | true |
LRS-GRO-3591 | 0250.png | Scene Type | what is the main type of area shown in this image - farmland, airport, or residential? | null | airport | [] | global | test | null | false |
LRS-GRO-3592 | 0250.png | Object function / usage | Is the bottom-most parked airplane currently connected to a passenger boarding bridge? | null | no | [
708,
869,
723,
881
] | object | test | bottom-most parked airplane | true |
LRS-GRO-3593 | test-204.png | Season | What season does the scene appear to be? | null | summer | [] | global | test | null | false |
LRS-GRO-3594 | 0250.png | Object color / pattern | What is the primary color of the top-most parked airplane? | null | white | [
201,
437,
222,
454
] | object | test | top-most parked airplane | true |
LRS-GRO-3595 | 0250.png | Object state / motion / activity | Is the top-most parked airplane currently being serviced or idle? | null | idle | [
201,
437,
222,
454
] | object | test | top-most parked airplane | true |
LRS-GRO-3596 | test-204.png | Object relative position / context | What is located to the left of the largest white industrial building in the bottom center? | null | parking lot | [
416,
894,
582,
1019
] | object | test | largest white industrial building in the bottom center | true |
LRS-GRO-3597 | 0995.png | Season | What season does the scene appear to be? | null | autumn | [] | global | test | null | false |
LRS-GRO-3598 | 0250.png | Object material / surface | What type of surface is the top-most parked airplane positioned on? | null | paved tarmac | [
201,
437,
222,
454
] | object | test | top-most parked airplane | true |
LRS-GRO-3599 | 0250.png | Object state / motion / activity | Is the bottom-most parked airplane stationary or taxiing on the runway? | null | stationary | [
708,
869,
723,
881
] | object | test | bottom-most parked airplane | true |
LRS-GRO-3600 | test-204.png | Object shape / structure | Is the roof of the largest white industrial building in the bottom center flat or sloped? | null | flat | [
416,
894,
582,
1019
] | object | test | largest white industrial building in the bottom center | true |
LRS-GRO-3601 | 0995.png | Urban-Rural | Does this image mainly depict an urban or rural area? | null | rural | [] | global | test | null | false |
LRS-GRO-3602 | 0995.png | Scene Type | what is the main type of area shown in this image - residential, farmland, or airport? | null | airport | [] | global | test | null | false |
LRS-GRO-3603 | 6994.tif | Object color / pattern | Does the bottom-right highway interchange have dark or light-colored road surfaces? | null | dark | [
770,
695,
858,
754
] | object | test | bottom-right highway interchange | true |
LRS-GRO-3604 | 0995.png | Object function / usage | What is the function of the top-most airport runway? | null | aircraft takeoff and landing | [
95,
80,
865,
210
] | object | test | top-most airport runway | true |
LRS-GRO-3605 | 6994.tif | Object relative position / context | What is located at the center of the loop in the bottom-right highway interchange? | null | green landscaped area with trees | [
770,
695,
858,
754
] | object | test | bottom-right highway interchange | true |
LRS-GRO-3606 | 6994.tif | Object state / motion / activity | Are there vehicles currently moving on the bottom-right highway interchange? | null | yes | [
770,
695,
858,
754
] | object | test | bottom-right highway interchange | true |
LRS-GRO-3607 | 0995.png | Object material / surface | Does the top-most airport runway appear to be made of asphalt or concrete? | null | asphalt | [
95,
80,
865,
210
] | object | test | top-most airport runway | true |
LRS-GRO-3608 | 6994.tif | Object shape / structure | Is the bottom-right highway interchange composed mainly of straight roads or curved ramps? | null | curved ramps | [
770,
695,
858,
754
] | object | test | bottom-right highway interchange | true |
LRS-GRO-3609 | 0995.png | Object color / pattern | What is the primary surface color of the top-most airport runway? | null | dark gray | [
95,
80,
865,
210
] | object | test | top-most airport runway | true |
LRS-GRO-3610 | 6994.tif | Object function / usage | What is the primary function of the bottom-right highway interchange? | null | to connect multiple highways | [
770,
695,
858,
754
] | object | test | bottom-right highway interchange | true |
LRS-GRO-3611 | 6994.tif | Object relative position / context | What is located directly to the qleft of the top-most airplane? | null | another airplane | [
961,
273,
980,
292
] | object | test | top-most airplane | true |
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