Datasets:

Minchael
/

move

Modalities:

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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 ({'answer_page_idx', 'question', 'page_ids', 'doc_id'}) and 3 missing columns ({'conversations', 'encompass_bbox', 'image'}).

This happened while the json dataset builder was generating data using

hf://datasets/Minchael/move/pinpoint_mpdoc_train.json (at revision 30b06204f80902a470e1e4402f94ba5c1b03b7cd), ['hf://datasets/Minchael/move@30b06204f80902a470e1e4402f94ba5c1b03b7cd/pinpoint_gqa_train_format.json', 'hf://datasets/Minchael/move@30b06204f80902a470e1e4402f94ba5c1b03b7cd/pinpoint_info_train_val_llava.json', 'hf://datasets/Minchael/move@30b06204f80902a470e1e4402f94ba5c1b03b7cd/pinpoint_mpdoc_train.json', 'hf://datasets/Minchael/move@30b06204f80902a470e1e4402f94ba5c1b03b7cd/pinpoint_spdoc_train_llava.json']

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 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, 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
              questionId: int64
              question: string
              doc_id: string
              page_ids: list<item: string>
                child 0, item: string
              answers: list<item: string>
                child 0, item: string
              answer_page_idx: int64
              data_split: string
              answer_bbox: list<item: list<item: int64>>
                child 0, item: list<item: int64>
                    child 0, item: int64
              evidence_bbox: list<item: list<item: int64>>
                child 0, item: list<item: int64>
                    child 0, item: int64
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1222
              to
              {'questionId': Value('int64'), 'image': Value('string'), 'conversations': List({'from': Value('string'), 'value': Value('string')}), 'answers': List(Value('string')), 'data_split': Value('string'), 'answer_bbox': List(List(Value('int64'))), 'evidence_bbox': List(List(Value('int64'))), 'encompass_bbox': List(List(Value('int64')))}
              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 1342, 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 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1889, 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 ({'answer_page_idx', 'question', 'page_ids', 'doc_id'}) and 3 missing columns ({'conversations', 'encompass_bbox', 'image'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Minchael/move/pinpoint_mpdoc_train.json (at revision 30b06204f80902a470e1e4402f94ba5c1b03b7cd), ['hf://datasets/Minchael/move@30b06204f80902a470e1e4402f94ba5c1b03b7cd/pinpoint_gqa_train_format.json', 'hf://datasets/Minchael/move@30b06204f80902a470e1e4402f94ba5c1b03b7cd/pinpoint_info_train_val_llava.json', 'hf://datasets/Minchael/move@30b06204f80902a470e1e4402f94ba5c1b03b7cd/pinpoint_mpdoc_train.json', 'hf://datasets/Minchael/move@30b06204f80902a470e1e4402f94ba5c1b03b7cd/pinpoint_spdoc_train_llava.json']
              
              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.

questionId int64	image string	conversations list	answers list	data_split string	answer_bbox list	evidence_bbox list	encompass_bbox list
91,022,204	2402875.jpg	[ { "from": "human", "value": "<image>\nWho is on the red bench?" }, { "from": "gpt", "value": "woman" } ]	[ "woman" ]	train	[ [ 212, 246, 325, 280 ] ]	[ [ 212, 246, 325, 280 ] ]	[ [ 212, 246, 325, 280 ] ]
394,129	2384856.jpg	[ { "from": "human", "value": "<image>\nWhat is the color of the metal container?" }, { "from": "gpt", "value": "gray" } ]	[ "gray" ]	train	[ [ 478, 251, 500, 320 ] ]	[ [ 478, 251, 500, 320 ] ]	[ [ 478, 251, 500, 320 ] ]
5,167,452	2359291.jpg	[ { "from": "human", "value": "<image>\nWhat does that woman hold?" }, { "from": "gpt", "value": "teddy bear" } ]	[ "teddy bear" ]	train	[ [ 154, 94, 299, 332 ] ]	[ [ 154, 94, 299, 332 ] ]	[ [ 154, 94, 299, 332 ] ]
17,931,284	2416590.jpg	[ { "from": "human", "value": "<image>\nWhat is on the fence on the left?" }, { "from": "gpt", "value": "wires" } ]	[ "wires" ]	train	[ [ 0, 236, 95, 474 ] ]	[ [ 0, 236, 95, 474 ] ]	[ [ 0, 236, 95, 474 ] ]
12,170,105	2404136.jpg	[ { "from": "human", "value": "<image>\nWhat color is the sky?" }, { "from": "gpt", "value": "orange" } ]	[ "orange" ]	train	[ [ 0, 0, 333, 234 ] ]	[ [ 0, 0, 333, 234 ] ]	[ [ 0, 0, 333, 234 ] ]
7,664,053	2413170.jpg	[ { "from": "human", "value": "<image>\nWhat color is the stop sign on the pole, white or black?" }, { "from": "gpt", "value": "white" } ]	[ "white" ]	train	[ [ 228, 344, 247, 375 ] ]	[ [ 228, 344, 247, 375 ] ]	[ [ 228, 344, 247, 375 ] ]
7,266,761	2351996.jpg	[ { "from": "human", "value": "<image>\nAre there both women and glasses?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 250, 74, 333, 221 ] ]	[ [ 250, 74, 333, 221 ] ]	[ [ 250, 74, 333, 221 ] ]
3,335,896	2320705.jpg	[ { "from": "human", "value": "<image>\nDoes the hat have blue color?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 329, 164, 365, 200 ] ]	[ [ 329, 164, 365, 200 ] ]	[ [ 329, 164, 365, 200 ] ]
2,720,125	2402542.jpg	[ { "from": "human", "value": "<image>\nThe woman with the purse wears what?" }, { "from": "gpt", "value": "jacket" } ]	[ "jacket" ]	train	[ [ 335, 257, 381, 333 ] ]	[ [ 335, 257, 381, 333 ] ]	[ [ 335, 257, 381, 333 ] ]
1,680,629	2379667.jpg	[ { "from": "human", "value": "<image>\nIs the bag to the right or to the left of the person on the bench?" }, { "from": "gpt", "value": "left" } ]	[ "left" ]	train	[ [ 157, 178, 212, 209 ] ]	[ [ 157, 178, 212, 209 ] ]	[ [ 157, 178, 212, 209 ] ]
13,576,842	2330128.jpg	[ { "from": "human", "value": "<image>\nIs the plate on the right side or on the left?" }, { "from": "gpt", "value": "right" } ]	[ "right" ]	train	[ [ 421, 200, 499, 288 ] ]	[ [ 421, 200, 499, 288 ] ]	[ [ 421, 200, 499, 288 ] ]
6,109,562	2361771.jpg	[ { "from": "human", "value": "<image>\nWhat type of device is to the left of the guy that is wearing glasses?" }, { "from": "gpt", "value": "remote control" } ]	[ "remote control" ]	train	[ [ 262, 58, 427, 332 ] ]	[ [ 262, 58, 427, 332 ] ]	[ [ 262, 58, 427, 332 ] ]
8,785,624	4924.jpg	[ { "from": "human", "value": "<image>\nWhat piece of furniture is inside the building?" }, { "from": "gpt", "value": "sofa" } ]	[ "sofa" ]	train	[ [ 20, 308, 217, 394 ] ]	[ [ 20, 308, 217, 394 ] ]	[ [ 20, 308, 217, 394 ] ]
1,319,626	2362922.jpg	[ { "from": "human", "value": "<image>\nOn which side is the black cup?" }, { "from": "gpt", "value": "right" } ]	[ "right" ]	train	[ [ 358, 96, 420, 170 ] ]	[ [ 358, 96, 420, 170 ] ]	[ [ 358, 96, 420, 170 ] ]
1,824,790	2394441.jpg	[ { "from": "human", "value": "<image>\nWho is standing on the silver stairs?" }, { "from": "gpt", "value": "woman" } ]	[ "woman" ]	train	[ [ 204, 213, 226, 223 ] ]	[ [ 204, 213, 226, 223 ] ]	[ [ 204, 213, 226, 223 ] ]
12,452,692	2344281.jpg	[ { "from": "human", "value": "<image>\nIs there a bird in the painting?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 329, 1, 420, 44 ] ]	[ [ 329, 1, 420, 44 ] ]	[ [ 329, 1, 420, 44 ] ]
8,772,796	2414648.jpg	[ { "from": "human", "value": "<image>\nWhat kind of vehicle is on the street?" }, { "from": "gpt", "value": "bus" } ]	[ "bus" ]	train	[ [ 375, 178, 433, 219 ] ]	[ [ 375, 178, 433, 219 ] ]	[ [ 375, 178, 433, 219 ] ]
9,914,139	2359358.jpg	[ { "from": "human", "value": "<image>\nIs the woman to the right or to the left of the girl?" }, { "from": "gpt", "value": "right" } ]	[ "right" ]	train	[ [ 286, 149, 322, 257 ] ]	[ [ 286, 149, 322, 257 ] ]	[ [ 286, 149, 322, 257 ] ]
875,757	2395913.jpg	[ { "from": "human", "value": "<image>\nDo you see any beverages to the right of the person that is holding the sandwich?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 0, 0, 221, 207 ] ]	[ [ 0, 0, 221, 207 ] ]	[ [ 0, 0, 221, 207 ] ]
19,718,693	112.jpg	[ { "from": "human", "value": "<image>\nWhat is the device that is to the left of the monitor called?" }, { "from": "gpt", "value": "screen" } ]	[ "screen" ]	train	[ [ 302, 136, 458, 280 ] ]	[ [ 302, 136, 458, 280 ] ]	[ [ 302, 136, 458, 280 ] ]
18,450,544	2400211.jpg	[ { "from": "human", "value": "<image>\nDoes the gray cat appear to be lying?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 217, 112, 325, 194 ] ]	[ [ 217, 112, 325, 194 ] ]	[ [ 217, 112, 325, 194 ] ]
17,852,889	2337617.jpg	[ { "from": "human", "value": "<image>\nIs the backpack on the right side or on the left of the photo?" }, { "from": "gpt", "value": "right" } ]	[ "right" ]	train	[ [ 198, 242, 375, 491 ] ]	[ [ 198, 242, 375, 491 ] ]	[ [ 198, 242, 375, 491 ] ]
19,788,072	2360047.jpg	[ { "from": "human", "value": "<image>\nWhat kind of baked good is on the pan that is to the left of the cookie?" }, { "from": "gpt", "value": "pastry" } ]	[ "pastry" ]	train	[ [ 22, 222, 309, 286 ] ]	[ [ 22, 222, 309, 286 ] ]	[ [ 22, 222, 309, 286 ] ]
16,988,900	2407562.jpg	[ { "from": "human", "value": "<image>\nAre there any women near the brown bag?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 40, 128, 449, 235 ] ]	[ [ 40, 128, 449, 235 ] ]	[ [ 40, 128, 449, 235 ] ]
14,469,925	2336743.jpg	[ { "from": "human", "value": "<image>\nAre there either any white plates or chairs?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 0, 226, 164, 373 ] ]	[ [ 0, 226, 164, 373 ] ]	[ [ 0, 226, 164, 373 ] ]
6,707,093	2349991.jpg	[ { "from": "human", "value": "<image>\nWhich side of the image is the man on?" }, { "from": "gpt", "value": "right" } ]	[ "right" ]	train	[ [ 362, 207, 394, 296 ] ]	[ [ 362, 207, 394, 296 ] ]	[ [ 362, 207, 394, 296 ] ]
14,652,459	2369730.jpg	[ { "from": "human", "value": "<image>\nAre the socks black or pink?" }, { "from": "gpt", "value": "pink" } ]	[ "pink" ]	train	[ [ 135, 233, 219, 246 ] ]	[ [ 135, 233, 219, 246 ] ]	[ [ 135, 233, 219, 246 ] ]
14,569,471	2343575.jpg	[ { "from": "human", "value": "<image>\nWhat is on the animal which is to the right of the bear?" }, { "from": "gpt", "value": "dress" } ]	[ "dress" ]	train	[ [ 33, 45, 243, 326 ] ]	[ [ 33, 45, 243, 326 ] ]	[ [ 33, 45, 243, 326 ] ]
7,798,962	2359238.jpg	[ { "from": "human", "value": "<image>\nIs there a ball or a buoy in the image?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 273, 214, 296, 256 ] ]	[ [ 273, 214, 296, 256 ] ]	[ [ 273, 214, 296, 256 ] ]
13,169,127	2371648.jpg	[ { "from": "human", "value": "<image>\nThe knife is on what?" }, { "from": "gpt", "value": "napkin" } ]	[ "napkin" ]	train	[ [ 400, 95, 499, 147 ] ]	[ [ 400, 95, 499, 147 ] ]	[ [ 400, 95, 499, 147 ] ]
12,318,411	2400990.jpg	[ { "from": "human", "value": "<image>\nDo you see any bananas or fruits there?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 31, 49, 110, 115 ] ]	[ [ 31, 49, 110, 115 ] ]	[ [ 31, 49, 110, 115 ] ]
181,063,571	2337889.jpg	[ { "from": "human", "value": "<image>\nWhich side of the image is the cab on?" }, { "from": "gpt", "value": "right" } ]	[ "right" ]	train	[ [ 306, 167, 498, 319 ] ]	[ [ 306, 167, 498, 319 ] ]	[ [ 306, 167, 498, 319 ] ]
1,749,436	2335822.jpg	[ { "from": "human", "value": "<image>\nWhat type of furniture is to the left of the drawer that is to the left of the cat?" }, { "from": "gpt", "value": "entertainment center" } ]	[ "entertainment center" ]	train	[ [ 97, 138, 198, 179 ] ]	[ [ 97, 138, 198, 179 ] ]	[ [ 97, 138, 198, 179 ] ]
2,794,314	2366422.jpg	[ { "from": "human", "value": "<image>\nWhat is the animal that is running on the green grass?" }, { "from": "gpt", "value": "dog" } ]	[ "dog" ]	train	[ [ 52, 12, 412, 333 ] ]	[ [ 52, 12, 412, 333 ] ]	[ [ 52, 12, 412, 333 ] ]
11,803,298	2372161.jpg	[ { "from": "human", "value": "<image>\nWhat food is to the right of the plate?" }, { "from": "gpt", "value": "pasta" } ]	[ "pasta" ]	train	[ [ 328, 176, 499, 343 ] ]	[ [ 328, 176, 499, 343 ] ]	[ [ 328, 176, 499, 343 ] ]
9,304,551	2417644.jpg	[ { "from": "human", "value": "<image>\nAre there any white beds or tables?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 0, 263, 499, 329 ] ]	[ [ 0, 263, 499, 329 ] ]	[ [ 0, 263, 499, 329 ] ]
3,985,537	2413731.jpg	[ { "from": "human", "value": "<image>\nWhich color is the door of the building?" }, { "from": "gpt", "value": "green" } ]	[ "green" ]	train	[ [ 34, 302, 66, 362 ] ]	[ [ 34, 302, 66, 362 ] ]	[ [ 34, 302, 66, 362 ] ]
4,853,274	2359315.jpg	[ { "from": "human", "value": "<image>\nHow is the device that the person to the left of the horse holds called?" }, { "from": "gpt", "value": "video camera" } ]	[ "video camera" ]	train	[ [ 73, 138, 89, 146 ] ]	[ [ 73, 138, 89, 146 ] ]	[ [ 73, 138, 89, 146 ] ]
1,282,966	2345690.jpg	[ { "from": "human", "value": "<image>\nIs the shirt white?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 199, 227, 308, 332 ] ]	[ [ 199, 227, 308, 332 ] ]	[ [ 199, 227, 308, 332 ] ]
4,801,421	2374752.jpg	[ { "from": "human", "value": "<image>\nIs this a soccer or baseball player?" }, { "from": "gpt", "value": "baseball" } ]	[ "baseball" ]	train	[ [ 105, 26, 395, 332 ] ]	[ [ 105, 26, 395, 332 ] ]	[ [ 105, 26, 395, 332 ] ]
9,160,030	2368670.jpg	[ { "from": "human", "value": "<image>\nDo you see trains behind the display?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 102, 67, 170, 106 ] ]	[ [ 102, 67, 170, 106 ] ]	[ [ 102, 67, 170, 106 ] ]
18,979,796	2413089.jpg	[ { "from": "human", "value": "<image>\nDo you see either spatulas or whisks that are made of metal?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 1, 128, 170, 163 ] ]	[ [ 1, 128, 170, 163 ] ]	[ [ 1, 128, 170, 163 ] ]
1,770,048	2411258.jpg	[ { "from": "human", "value": "<image>\nWhat color does the bottle to the left of the cheese have?" }, { "from": "gpt", "value": "green" } ]	[ "green" ]	train	[ [ 200, 102, 300, 147 ] ]	[ [ 200, 102, 300, 147 ] ]	[ [ 200, 102, 300, 147 ] ]
141,383	2355802.jpg	[ { "from": "human", "value": "<image>\nWhat color is the toothbrush?" }, { "from": "gpt", "value": "purple" } ]	[ "purple" ]	train	[ [ 0, 44, 191, 133 ] ]	[ [ 0, 44, 191, 133 ] ]	[ [ 0, 44, 191, 133 ] ]
14,708,645	2412165.jpg	[ { "from": "human", "value": "<image>\nDoes the apple that is to the right of the other apple look red?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 25, 237, 220, 455 ] ]	[ [ 25, 237, 220, 455 ] ]	[ [ 25, 237, 220, 455 ] ]
1,246,827	2415852.jpg	[ { "from": "human", "value": "<image>\nIs the blue bag to the right or to the left of the people that are crossing the street?" }, { "from": "gpt", "value": "left" } ]	[ "left" ]	train	[ [ 21, 151, 46, 195 ] ]	[ [ 21, 151, 46, 195 ] ]	[ [ 21, 151, 46, 195 ] ]
2,234,353	2397831.jpg	[ { "from": "human", "value": "<image>\nIs the woman on the right or on the left?" }, { "from": "gpt", "value": "left" } ]	[ "left" ]	train	[ [ 103, 233, 163, 338 ] ]	[ [ 103, 233, 163, 338 ] ]	[ [ 103, 233, 163, 338 ] ]
21,053,290	2369419.jpg	[ { "from": "human", "value": "<image>\nAre these eggs to the left of a tomato?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 74, 123, 297, 322 ] ]	[ [ 74, 123, 297, 322 ] ]	[ [ 74, 123, 297, 322 ] ]
1,068,526	1592257.jpg	[ { "from": "human", "value": "<image>\nIs the man that is to the right of the girl wearing a uniform?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 0, 95, 243, 767 ] ]	[ [ 0, 95, 243, 767 ] ]	[ [ 0, 95, 243, 767 ] ]
88,879	2349921.jpg	[ { "from": "human", "value": "<image>\nWhich color do you think the counter the bag is on is?" }, { "from": "gpt", "value": "yellow" } ]	[ "yellow" ]	train	[ [ 0, 253, 129, 330 ] ]	[ [ 0, 253, 129, 330 ] ]	[ [ 0, 253, 129, 330 ] ]
1,368,912	2342797.jpg	[ { "from": "human", "value": "<image>\nIs the man in the bottom part or in the top of the photo?" }, { "from": "gpt", "value": "top" } ]	[ "top" ]	train	[ [ 200, 4, 227, 74 ] ]	[ [ 200, 4, 227, 74 ] ]	[ [ 200, 4, 227, 74 ] ]
8,226,946	2335446.jpg	[ { "from": "human", "value": "<image>\nWho is holding the pizza to the left of the plate?" }, { "from": "gpt", "value": "boy" } ]	[ "boy" ]	train	[ [ 197, 265, 252, 299 ] ]	[ [ 197, 265, 252, 299 ] ]	[ [ 197, 265, 252, 299 ] ]
10,773,502	2390604.jpg	[ { "from": "human", "value": "<image>\nIs the rug to the right of the chair?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 118, 1, 302, 83 ] ]	[ [ 118, 1, 302, 83 ] ]	[ [ 118, 1, 302, 83 ] ]
16,494,727	2380369.jpg	[ { "from": "human", "value": "<image>\nAre there both a truck and a train in the picture?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 0, 0, 499, 374 ] ]	[ [ 0, 0, 499, 374 ] ]	[ [ 0, 0, 499, 374 ] ]
11,889,706	2395472.jpg	[ { "from": "human", "value": "<image>\nIs the white cup to the right of a stapler?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 267, 155, 280, 188 ] ]	[ [ 267, 155, 280, 188 ] ]	[ [ 267, 155, 280, 188 ] ]
2,107,301	2377301.jpg	[ { "from": "human", "value": "<image>\nIs the bicycle near the plant blue or black?" }, { "from": "gpt", "value": "black" } ]	[ "black" ]	train	[ [ 100, 10, 398, 260 ] ]	[ [ 100, 10, 398, 260 ] ]	[ [ 100, 10, 398, 260 ] ]
11,292,217	1399.jpg	[ { "from": "human", "value": "<image>\nOn which side of the photo is the box?" }, { "from": "gpt", "value": "right" } ]	[ "right" ]	train	[ [ 599, 222, 637, 248 ] ]	[ [ 599, 222, 637, 248 ] ]	[ [ 599, 222, 637, 248 ] ]
3,423,397	2319315.jpg	[ { "from": "human", "value": "<image>\nWhat kind of food is on the cake?" }, { "from": "gpt", "value": "candy" } ]	[ "candy" ]	train	[ [ 174, 102, 354, 310 ] ]	[ [ 174, 102, 354, 310 ] ]	[ [ 174, 102, 354, 310 ] ]
1,762,161	2371656.jpg	[ { "from": "human", "value": "<image>\nDoes the staircase have the same material as the boat?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 89, 231, 278, 363 ] ]	[ [ 89, 231, 278, 363 ] ]	[ [ 89, 231, 278, 363 ] ]
15,374,703	2363096.jpg	[ { "from": "human", "value": "<image>\nDoes the coffee table look metallic and black?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 214, 227, 294, 331 ] ]	[ [ 214, 227, 294, 331 ] ]	[ [ 214, 227, 294, 331 ] ]
16,830,108	2380158.jpg	[ { "from": "human", "value": "<image>\nWhat food is to the left of the noodles?" }, { "from": "gpt", "value": "pizza" } ]	[ "pizza" ]	train	[ [ 25, 141, 274, 375 ] ]	[ [ 25, 141, 274, 375 ] ]	[ [ 25, 141, 274, 375 ] ]
8,927,370	2345577.jpg	[ { "from": "human", "value": "<image>\nThe signal light to the left of the liquor has what color?" }, { "from": "gpt", "value": "red" } ]	[ "red" ]	train	[ [ 424, 62, 450, 68 ] ]	[ [ 424, 62, 450, 68 ] ]	[ [ 424, 62, 450, 68 ] ]
8,130,265	2341324.jpg	[ { "from": "human", "value": "<image>\nWhat vehicle is in front of the bridge?" }, { "from": "gpt", "value": "bus" } ]	[ "bus" ]	train	[ [ 79, 49, 373, 304 ] ]	[ [ 79, 49, 373, 304 ] ]	[ [ 79, 49, 373, 304 ] ]
4,945,901	2323432.jpg	[ { "from": "human", "value": "<image>\nAre there people to the right of the man that is wearing trousers?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 98, 186, 136, 298 ] ]	[ [ 98, 186, 136, 298 ] ]	[ [ 98, 186, 136, 298 ] ]
11,234,246	2372506.jpg	[ { "from": "human", "value": "<image>\nIs the fence in the top part?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 257, 63, 331, 124 ] ]	[ [ 257, 63, 331, 124 ] ]	[ [ 257, 63, 331, 124 ] ]
10,783,126	1592907.jpg	[ { "from": "human", "value": "<image>\nIs the woman to the left or to the right of the bananas that are to the left of the people?" }, { "from": "gpt", "value": "left" } ]	[ "left" ]	train	[ [ 479, 379, 567, 506 ] ]	[ [ 479, 379, 567, 506 ] ]	[ [ 479, 379, 567, 506 ] ]
2,639,861	2363344.jpg	[ { "from": "human", "value": "<image>\nDoes the car to the right of the man look red?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 209, 252, 241, 321 ] ]	[ [ 209, 252, 241, 321 ] ]	[ [ 209, 252, 241, 321 ] ]
1,940,868	2360445.jpg	[ { "from": "human", "value": "<image>\nDo you think the woman's hair is red?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 247, 55, 354, 140 ] ]	[ [ 247, 55, 354, 140 ] ]	[ [ 247, 55, 354, 140 ] ]
1,410,150	2398470.jpg	[ { "from": "human", "value": "<image>\nIs the brown fence metallic or wooden?" }, { "from": "gpt", "value": "wooden" } ]	[ "wooden" ]	train	[ [ 0, 395, 374, 498 ] ]	[ [ 0, 395, 374, 498 ] ]	[ [ 0, 395, 374, 498 ] ]
8,587,516	2396464.jpg	[ { "from": "human", "value": "<image>\nWhere in this image is the stainless steel refrigerator, on the left or on the right?" }, { "from": "gpt", "value": "left" } ]	[ "left" ]	train	[ [ 2, 105, 37, 356 ] ]	[ [ 2, 105, 37, 356 ] ]	[ [ 2, 105, 37, 356 ] ]
6,267,833	2364875.jpg	[ { "from": "human", "value": "<image>\nDo the skateboard and the shoe have the same color?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 183, 253, 284, 331 ] ]	[ [ 183, 253, 284, 331 ] ]	[ [ 183, 253, 284, 331 ] ]
12,711,182	2343632.jpg	[ { "from": "human", "value": "<image>\nIs the grass brown or is it green?" }, { "from": "gpt", "value": "green" } ]	[ "green" ]	train	[ [ 0, 280, 399, 500 ] ]	[ [ 0, 280, 399, 500 ] ]	[ [ 0, 280, 399, 500 ] ]
1,652,854	2353164.jpg	[ { "from": "human", "value": "<image>\nWhat is on the bread?" }, { "from": "gpt", "value": "lettuce" } ]	[ "lettuce" ]	train	[ [ 0, 82, 303, 333 ] ]	[ [ 0, 82, 303, 333 ] ]	[ [ 0, 82, 303, 333 ] ]
2,134,906	2406427.jpg	[ { "from": "human", "value": "<image>\nIs the sky cloudy and blue?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 0, 1, 57, 496 ] ]	[ [ 0, 1, 57, 496 ] ]	[ [ 0, 1, 57, 496 ] ]
12,505,786	2404416.jpg	[ { "from": "human", "value": "<image>\nWhich color are the trousers the woman is wearing?" }, { "from": "gpt", "value": "gray" } ]	[ "gray" ]	train	[ [ 192, 227, 256, 351 ] ]	[ [ 192, 227, 256, 351 ] ]	[ [ 192, 227, 256, 351 ] ]
2,976,941	2380530.jpg	[ { "from": "human", "value": "<image>\nWhat is under the monitor that looks black?" }, { "from": "gpt", "value": "book" } ]	[ "book" ]	train	[ [ 25, 78, 238, 242 ] ]	[ [ 25, 78, 238, 242 ] ]	[ [ 25, 78, 238, 242 ] ]
7,568,465	2381362.jpg	[ { "from": "human", "value": "<image>\nIs the figure sitting or pointing?" }, { "from": "gpt", "value": "pointing" } ]	[ "pointing" ]	train	[ [ 212, 134, 326, 292 ] ]	[ [ 212, 134, 326, 292 ] ]	[ [ 212, 134, 326, 292 ] ]
151,049,519	2363441.jpg	[ { "from": "human", "value": "<image>\nAre the shorts black or pink?" }, { "from": "gpt", "value": "pink" } ]	[ "pink" ]	train	[ [ 46, 233, 117, 294 ] ]	[ [ 46, 233, 117, 294 ] ]	[ [ 46, 233, 117, 294 ] ]
1,299,593	2405399.jpg	[ { "from": "human", "value": "<image>\nDoes this surfboard appear to be standing?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 222, 66, 325, 454 ] ]	[ [ 222, 66, 325, 454 ] ]	[ [ 222, 66, 325, 454 ] ]
11,835,370	2353364.jpg	[ { "from": "human", "value": "<image>\nWhat kind of meat is on the pizza?" }, { "from": "gpt", "value": "pepperoni" } ]	[ "pepperoni" ]	train	[ [ 413, 177, 497, 275 ] ]	[ [ 413, 177, 497, 275 ] ]	[ [ 413, 177, 497, 275 ] ]
1,203,172	2369374.jpg	[ { "from": "human", "value": "<image>\nDoes the tail look bushy and black?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 78, 120, 108, 217 ] ]	[ [ 78, 120, 108, 217 ] ]	[ [ 78, 120, 108, 217 ] ]
9,779,442	2373348.jpg	[ { "from": "human", "value": "<image>\nAre there both a window and a door?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 265, 221, 286, 276 ] ]	[ [ 265, 221, 286, 276 ] ]	[ [ 265, 221, 286, 276 ] ]
14,706,428	2371486.jpg	[ { "from": "human", "value": "<image>\nOn which side of the image is the apple?" }, { "from": "gpt", "value": "right" } ]	[ "right" ]	train	[ [ 485, 235, 498, 286 ] ]	[ [ 485, 235, 498, 286 ] ]	[ [ 485, 235, 498, 286 ] ]
15,988,142	2318105.jpg	[ { "from": "human", "value": "<image>\nWhat item of furniture is brown?" }, { "from": "gpt", "value": "table" } ]	[ "table" ]	train	[ [ 0, 0, 499, 499 ] ]	[ [ 0, 0, 499, 499 ] ]	[ [ 0, 0, 499, 499 ] ]
12,410,838	2368335.jpg	[ { "from": "human", "value": "<image>\nWhat is the horse next to the American flag wearing?" }, { "from": "gpt", "value": "leggings" } ]	[ "leggings" ]	train	[ [ 243, 164, 303, 334 ] ]	[ [ 243, 164, 303, 334 ] ]	[ [ 243, 164, 303, 334 ] ]
15,536,262	2347723.jpg	[ { "from": "human", "value": "<image>\nWhat is he holding?" }, { "from": "gpt", "value": "bat" } ]	[ "bat" ]	train	[ [ 258, 56, 394, 320 ] ]	[ [ 258, 56, 394, 320 ] ]	[ [ 258, 56, 394, 320 ] ]
7,714,841	2317047.jpg	[ { "from": "human", "value": "<image>\nDo you see donuts to the right of the bag made of paper?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 49, 266, 208, 333 ] ]	[ [ 49, 266, 208, 333 ] ]	[ [ 49, 266, 208, 333 ] ]
11,321,951	713491.jpg	[ { "from": "human", "value": "<image>\nWhere in the image is the picture, in the bottom or in the top?" }, { "from": "gpt", "value": "top" } ]	[ "top" ]	train	[ [ 586, 14, 651, 61 ] ]	[ [ 586, 14, 651, 61 ] ]	[ [ 586, 14, 651, 61 ] ]
3,255,127	2353852.jpg	[ { "from": "human", "value": "<image>\nThe trees are around what?" }, { "from": "gpt", "value": "bus" } ]	[ "bus" ]	train	[ [ 1, 2, 409, 323 ] ]	[ [ 1, 2, 409, 323 ] ]	[ [ 1, 2, 409, 323 ] ]
1,187,840	2331913.jpg	[ { "from": "human", "value": "<image>\nIs there a snake or an elephant in this photo?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 197, 95, 325, 214 ] ]	[ [ 197, 95, 325, 214 ] ]	[ [ 197, 95, 325, 214 ] ]
1,581,567	2399692.jpg	[ { "from": "human", "value": "<image>\nOn which side is the bright lamp?" }, { "from": "gpt", "value": "right" } ]	[ "right" ]	train	[ [ 381, 188, 439, 208 ] ]	[ [ 381, 188, 439, 208 ] ]	[ [ 381, 188, 439, 208 ] ]
7,985,312	2388614.jpg	[ { "from": "human", "value": "<image>\nWhat is he wearing?" }, { "from": "gpt", "value": "cap" } ]	[ "cap" ]	train	[ [ 141, 204, 252, 500 ] ]	[ [ 141, 204, 252, 500 ] ]	[ [ 141, 204, 252, 500 ] ]
323,379	2410469.jpg	[ { "from": "human", "value": "<image>\nOn which side of the image is the bike?" }, { "from": "gpt", "value": "left" } ]	[ "left" ]	train	[ [ 40, 204, 60, 233 ] ]	[ [ 40, 204, 60, 233 ] ]	[ [ 40, 204, 60, 233 ] ]
2,621,270	2323644.jpg	[ { "from": "human", "value": "<image>\nIs the person wearing a hat?" }, { "from": "gpt", "value": "no" } ]	[ "no" ]	train	[ [ 76, 205, 174, 421 ] ]	[ [ 76, 205, 174, 421 ] ]	[ [ 76, 205, 174, 421 ] ]
5,912,207	2392407.jpg	[ { "from": "human", "value": "<image>\nIs the red cup to the right of the utensil that is on the table?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 121, 80, 152, 152 ] ]	[ [ 121, 80, 152, 152 ] ]	[ [ 121, 80, 152, 152 ] ]
1,348,766	2388078.jpg	[ { "from": "human", "value": "<image>\nWhich type of toy is this, a doll or a stuffed bear?" }, { "from": "gpt", "value": "stuffed bear" } ]	[ "stuffed bear" ]	train	[ [ 239, 0, 498, 217 ] ]	[ [ 239, 0, 498, 217 ] ]	[ [ 239, 0, 498, 217 ] ]
17,565,435	2350135.jpg	[ { "from": "human", "value": "<image>\nOn which side of the image is the soda can?" }, { "from": "gpt", "value": "left" } ]	[ "left" ]	train	[ [ 45, 239, 68, 278 ] ]	[ [ 45, 239, 68, 278 ] ]	[ [ 45, 239, 68, 278 ] ]
10,316,504	2341652.jpg	[ { "from": "human", "value": "<image>\nWhich kind of animal is the man in front of?" }, { "from": "gpt", "value": "dog" } ]	[ "dog" ]	train	[ [ 206, 176, 285, 223 ] ]	[ [ 206, 176, 285, 223 ] ]	[ [ 206, 176, 285, 223 ] ]
10,654,573	2337481.jpg	[ { "from": "human", "value": "<image>\nDoes the bacon look red and curved?" }, { "from": "gpt", "value": "yes" } ]	[ "yes" ]	train	[ [ 202, 89, 275, 215 ] ]	[ [ 202, 89, 275, 215 ] ]	[ [ 202, 89, 275, 215 ] ]
9,368,338	2404587.jpg	[ { "from": "human", "value": "<image>\nWhat is the name of the food in the bowl on the right of the picture?" }, { "from": "gpt", "value": "coleslaw" } ]	[ "coleslaw" ]	train	[ [ 287, 122, 492, 301 ] ]	[ [ 287, 122, 492, 301 ] ]	[ [ 287, 122, 492, 301 ] ]

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