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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 1 new columns ({'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
...
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'}) and 1 missing columns ({'{"width": 640, "height": 480, "boxes": [{"human_bbox": [207, 32, 426, 299], "object_bbox": [58, 97, 571, 404], "object_class": "motorcycle", "verb_class": "race, ride, sit on, straddle"}]}'}).

This happened while the csv dataset builder was generating data using

hf://datasets/thxplz/HOI-R1_HICO-DET_dataset/Rex-Omni/data.images.tsv (at revision 5ba0579166040ae3f6128bddc365b4b23f6c8349), ['hf://datasets/thxplz/HOI-R1_HICO-DET_dataset@5ba0579166040ae3f6128bddc365b4b23f6c8349/Rex-Omni/data.annotations.tsv', 'hf://datasets/thxplz/HOI-R1_HICO-DET_dataset@5ba0579166040ae3f6128bddc365b4b23f6c8349/Rex-Omni/data.annotations.tsv.lineidx', 'hf://datasets/thxplz/HOI-R1_HICO-DET_dataset@5ba0579166040ae3f6128bddc365b4b23f6c8349/Rex-Omni/data.images.tsv']

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/python3.14/site-packages/datasets/builder.py", line 1856, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 822, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              0: int64
              /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAx (... 82544 chars omitted): string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 165768
              to
              {'0': Value('int64'), '{"width": 640, "height": 480, "boxes": [{"human_bbox": [207, 32, 426, 299], "object_bbox": [58, 97, 571, 404], "object_class": "motorcycle", "verb_class": "race, ride, sit on, straddle"}]}': 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 1379, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 1 new columns ({'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
              ...
              1Mg/2Tn86eZCCec0LOQeQPai4JoXcw7kfgaXc5/jH54qRZw3WpA0Z4PP1FTcpEK+Yepz/wIU4l1blHx6qQamBhHUD8KcHgA+51obArmVCoysn5CmidB1X8xU7tGcYUg/WoHCMTgNmhBcDJERnaKaDEQTj9absB/wD10025PTOPqKLBcHZQTj+dIiyt90L/AN9U02rVEbWQHgN/31inoGpaKzr1iVvowqMzOBzEwHtg1EquhyzsQOxY1LuRuCv5Owosh6jDdwoPmLL9Vp6XsTHhkP4EUgt0ZgQvP/XT/wCtUos5wwMcQI9WYf4UmogmyVJ0/wDrgn/Gl81DnDsPQbuKRYLoNzAMeoYVIUcDmEqaxZaImnAHLFvwFNS7K92FPLhTggfitRSPFt5RvyosNMlGoHGA5/EU1rtm7Bh7HFQKykZCceuacC4/hOPrScbdB3uPJ39COezDNOWAnqLZh/tbgackgxzFg+pIpWdVHKlR64zSu9rFWXccIEQBhAo/3JKCwC5G9f8AgWarSXCdBKn/AAJCP6VCJ8kZEZz3U07NktroWWuzHyNrfWozqKH7yZ+mKVZEYAMgHvtyKlECSL8qRt/wGpsuqCzZWOo27EfIwPoRSidHbI3D061JLYFeRAufYGoCrxHBg2/Q1Vo9BWfUspI2MgsefX/69SYZiQUb8s1WSQgcxtweoNWftFwy4RGIHTMYJpWGkyMwHOTwfyp6RPnhhg+pFQtNOOTEM9yYyKhfUHxt2IpHfaadn0DRbmgbeTgnbge9J9nmb7qKfowrOF5uHLqT/ukVIs2/+JR9CaWqC5O8FwpIMMn0UkVE8UveOX8eaaTN/BJ+TkUx2v1GVZ2H++TTVxXAxZOCD9GSmG3jx0Q/pUL3d6mQ0crfhmo/tLPzIkgz6g1fKxcxM0EYPRVPrupDbjGRItChJFHzMM9+tJ9j3EkXCn2K015g2SJ5y4C7WH1pS+D+8RlPsciozZy9mRj9dpoMUinMiMPoc0WTFdomAgY8PtJ9V/8Ar09IFJyLgj8/8aq7Yz/eX220pj7gqR6hhn+dDihqRfFuP+e2R9c0gtA5OJhu9MYqiA5GAx+hGaaXlB42H65FSo+Yc3kaf9nzAZWbPtuIpvkTI3zF8+oes0NdEnFux91c/wCNODXXeG4X3D5/xquR9w512NQTMDtaVh9WFOHzchyx9yKyA838QlI9GQGlCqSNysD7bhScbBzGrLEX6xnHrsBqAwxhjuRQc/xQkfyqBZIxwTOMd1Y/1pwuEzg3N0B7oD+tJJj5kWkigJPEWfYEVOLZcjaE/DP+NUxOjdLtmP8AtIKkSQA4Mo/7461LTKUkWRatxhV/AkU0wHLEiVQPQ/4ihJUY4Mv5A1OAxA2T5/E/1FLULoqmAAZDv/wJVNRmAseXJ/4DV0pIRxOjHuGApp85DzDE3qQMfyppsNCibde/mZ9QaY1vlQMM31XNXhORndaKfo9PF2g62jgH0INF2Gh//9k='}) and 1 missing columns ({'{"width": 640, "height": 480, "boxes": [{"human_bbox": [207, 32, 426, 299], "object_bbox": [58, 97, 571, 404], "object_class": "motorcycle", "verb_class": "race, ride, sit on, straddle"}]}'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/thxplz/HOI-R1_HICO-DET_dataset/Rex-Omni/data.images.tsv (at revision 5ba0579166040ae3f6128bddc365b4b23f6c8349), ['hf://datasets/thxplz/HOI-R1_HICO-DET_dataset@5ba0579166040ae3f6128bddc365b4b23f6c8349/Rex-Omni/data.annotations.tsv', 'hf://datasets/thxplz/HOI-R1_HICO-DET_dataset@5ba0579166040ae3f6128bddc365b4b23f6c8349/Rex-Omni/data.annotations.tsv.lineidx', 'hf://datasets/thxplz/HOI-R1_HICO-DET_dataset@5ba0579166040ae3f6128bddc365b4b23f6c8349/Rex-Omni/data.images.tsv']
              
              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.

0
int64
{"width": 640, "height": 480, "boxes": [{"human_bbox": [207, 32, 426, 299], "object_bbox": [58, 97, 571, 404], "object_class": "motorcycle", "verb_class": "race, ride, sit on, straddle"}]}
string
82,647
{"width": 640, "height": 480, "boxes": [{"human_bbox": [261, 0, 637, 137], "object_bbox": [161, 130, 257, 164], "object_class": "banana", "verb_class": "no interaction"}]}
170,654
{"width": 599, "height": 640, "boxes": [{"human_bbox": [566, 360, 579, 389], "object_bbox": [73, 51, 509, 483], "object_class": "bus", "verb_class": "no interaction"}]}
235,554
{"width": 640, "height": 427, "boxes": [{"human_bbox": [222, 28, 483, 367], "object_bbox": [268, 88, 362, 121], "object_class": "bottle", "verb_class": "drink with, hold"}]}
296,554
{"width": 640, "height": 425, "boxes": [{"human_bbox": [81, 153, 202, 271], "object_bbox": [0, 175, 312, 421], "object_class": "bed", "verb_class": "sit on"}]}
363,374
{"width": 640, "height": 457, "boxes": [{"human_bbox": [75, 66, 280, 450], "object_bbox": [2, 19, 381, 249], "object_class": "umbrella", "verb_class": "hold, stand under"}]}
431,006
{"width": 640, "height": 480, "boxes": [{"human_bbox": [194, 0, 527, 69], "object_bbox": [337, 177, 559, 469], "object_class": "pizza", "verb_class": "no interaction"}]}
496,878
{"width": 640, "height": 426, "boxes": [{"human_bbox": [2, 2, 597, 420], "object_bbox": [8, 261, 208, 422], "object_class": "toothbrush", "verb_class": "brush with, hold"}]}
531,414
{"width": 640, "height": 427, "boxes": [{"human_bbox": [190, 101, 290, 305], "object_bbox": [210, 99, 431, 335], "object_class": "truck", "verb_class": "load"}, {"human_bbox": [339, 93, 597, 406], "object_bbox": [210, 99, 431, 335], "object_class": "truck", "verb_class": "load"}]}
585,934
{"width": 640, "height": 427, "boxes": [{"human_bbox": [266, 69, 369, 273], "object_bbox": [111, 69, 442, 410], "object_class": "horse", "verb_class": "hold, ride"}, {"human_bbox": [282, 65, 353, 288], "object_bbox": [97, 68, 448, 416], "object_class": "horse", "verb_class": "straddle"}]}
661,266
{"width": 640, "height": 426, "boxes": [{"human_bbox": [509, 169, 637, 392], "object_bbox": [583, 200, 639, 282], "object_class": "backpack", "verb_class": "carry"}, {"human_bbox": [510, 171, 634, 387], "object_bbox": [564, 198, 636, 291], "object_class": "backpack", "verb_class": "wear"}]}
710,714
{"width": 640, "height": 427, "boxes": [{"human_bbox": [418, 267, 480, 331], "object_bbox": [383, 230, 492, 287], "object_class": "umbrella", "verb_class": "hold"}]}
786,958
{"width": 640, "height": 398, "boxes": [{"human_bbox": [197, 286, 277, 394], "object_bbox": [87, 205, 247, 309], "object_class": "carrot", "verb_class": "cut"}]}
851,466
{"width": 457, "height": 640, "boxes": [{"human_bbox": [152, 216, 291, 477], "object_bbox": [73, 342, 407, 586], "object_class": "bicycle", "verb_class": "hold, ride, sit on, straddle"}]}
946,914
{"width": 640, "height": 427, "boxes": [{"human_bbox": [442, 99, 519, 238], "object_bbox": [53, 27, 397, 251], "object_class": "tv", "verb_class": "watch"}, {"human_bbox": [431, 149, 592, 420], "object_bbox": [53, 27, 397, 251], "object_class": "tv", "verb_class": "watch"}]}
1,004,666
{"width": 640, "height": 480, "boxes": [{"human_bbox": [81, 125, 260, 305], "object_bbox": [0, 230, 637, 478], "object_class": "dining table", "verb_class": "eat at, sit at"}, {"human_bbox": [133, 113, 399, 349], "object_bbox": [0, 230, 637, 478], "object_class": "dining table", "verb_class": "eat at, sit at"}, {"human...
1,088,215
{"width": 640, "height": 425, "boxes": [{"human_bbox": [285, 2, 634, 422], "object_bbox": [173, 278, 310, 309], "object_class": "wine glass", "verb_class": "fill"}]}
1,148,300
{"width": 640, "height": 427, "boxes": [{"human_bbox": [202, 95, 427, 396], "object_bbox": [178, 233, 567, 391], "object_class": "bicycle", "verb_class": "hold"}, {"human_bbox": [258, 121, 378, 370], "object_bbox": [216, 232, 467, 382], "object_class": "bicycle", "verb_class": "ride, straddle"}]}
1,195,769
{"width": 640, "height": 480, "boxes": [{"human_bbox": [440, 163, 556, 445], "object_bbox": [465, 413, 566, 466], "object_class": "skateboard", "verb_class": "ride, stand on"}]}
1,259,830
{"width": 640, "height": 296, "boxes": [{"human_bbox": [1, 1, 359, 255], "object_bbox": [2, 71, 579, 261], "object_class": "knife", "verb_class": "cut with, hold, wield"}]}
1,307,323
{"width": 640, "height": 428, "boxes": [{"human_bbox": [326, 67, 431, 264], "object_bbox": [404, 265, 481, 288], "object_class": "skis", "verb_class": "jump"}, {"human_bbox": [326, 67, 431, 264], "object_bbox": [316, 252, 400, 273], "object_class": "skis", "verb_class": "jump"}, {"human_bbox": [317, 65, 435, 280], "obj...
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{"width": 451, "height": 640, "boxes": [{"human_bbox": [111, 75, 301, 633], "object_bbox": [119, 81, 257, 402], "object_class": "backpack", "verb_class": "carry, wear"}]}
1,448,933
{"width": 640, "height": 478, "boxes": [{"human_bbox": [118, 63, 286, 474], "object_bbox": [122, 141, 156, 171], "object_class": "apple", "verb_class": "hold"}]}
1,532,942
{"width": 640, "height": 428, "boxes": [{"human_bbox": [272, 10, 445, 391], "object_bbox": [0, 0, 637, 427], "object_class": "refrigerator", "verb_class": "open"}]}
1,582,531
{"width": 426, "height": 640, "boxes": [{"human_bbox": [57, 4, 403, 535], "object_bbox": [2, 170, 422, 635], "object_class": "sheep", "verb_class": "shear"}]}
1,623,984
{"width": 431, "height": 640, "boxes": [{"human_bbox": [70, 63, 258, 416], "object_bbox": [101, 165, 314, 592], "object_class": "horse", "verb_class": "ride, straddle"}]}
1,680,949
{"width": 640, "height": 427, "boxes": [{"human_bbox": [173, 93, 235, 183], "object_bbox": [170, 170, 241, 193], "object_class": "snowboard", "verb_class": "jump, stand on"}, {"human_bbox": [178, 101, 226, 187], "object_bbox": [170, 170, 242, 190], "object_class": "snowboard", "verb_class": "ride"}, {"human_bbox": [177...
1,713,478
{"width": 640, "height": 427, "boxes": [{"human_bbox": [229, 198, 274, 259], "object_bbox": [67, 96, 591, 331], "object_class": "bus", "verb_class": "drive"}, {"human_bbox": [223, 203, 266, 250], "object_bbox": [67, 91, 592, 369], "object_class": "bus", "verb_class": "ride"}, {"human_bbox": [234, 198, 264, 253], "objec...
1,787,267
{"width": 640, "height": 414, "boxes": [{"human_bbox": [260, 174, 425, 412], "object_bbox": [210, 260, 417, 410], "object_class": "chair", "verb_class": "sit on"}]}
1,847,116
{"width": 640, "height": 480, "boxes": [{"human_bbox": [89, 10, 487, 478], "object_bbox": [100, 208, 532, 466], "object_class": "book", "verb_class": "hold, open, read"}]}
1,898,401
{"width": 640, "height": 426, "boxes": [{"human_bbox": [71, 303, 565, 424], "object_bbox": [330, 0, 566, 374], "object_class": "wine glass", "verb_class": "hold"}]}
1,924,086
{"width": 472, "height": 640, "boxes": [{"human_bbox": [24, 98, 468, 637], "object_bbox": [223, 314, 270, 454], "object_class": "tie", "verb_class": "wear"}]}
1,960,719
{"width": 640, "height": 424, "boxes": [{"human_bbox": [334, 145, 401, 194], "object_bbox": [50, 136, 633, 326], "object_class": "car", "verb_class": "drive, park, ride"}, {"human_bbox": [272, 154, 332, 192], "object_bbox": [41, 137, 631, 329], "object_class": "car", "verb_class": "ride"}]}
2,014,304
{"width": 428, "height": 640, "boxes": [{"human_bbox": [156, 235, 280, 446], "object_bbox": [70, 343, 169, 469], "object_class": "suitcase", "verb_class": "carry"}, {"human_bbox": [135, 220, 288, 446], "object_bbox": [69, 385, 135, 481], "object_class": "suitcase", "verb_class": "hold"}]}
2,066,069
{"width": 640, "height": 427, "boxes": [{"human_bbox": [424, 79, 591, 425], "object_bbox": [397, 25, 623, 119], "object_class": "umbrella", "verb_class": "carry"}, {"human_bbox": [67, 29, 230, 414], "object_bbox": [0, 1, 234, 117], "object_class": "umbrella", "verb_class": "carry, hold, stand under"}, {"human_bbox": [4...
2,129,470
{"width": 640, "height": 441, "boxes": [{"human_bbox": [243, 69, 277, 88], "object_bbox": [62, 7, 442, 439], "object_class": "bus", "verb_class": "ride"}]}
2,185,307
{"width": 640, "height": 426, "boxes": [{"human_bbox": [480, 77, 636, 423], "object_bbox": [480, 189, 637, 424], "object_class": "motorcycle", "verb_class": "hold, straddle"}, {"human_bbox": [1, 43, 161, 376], "object_bbox": [1, 187, 157, 424], "object_class": "motorcycle", "verb_class": "sit on, straddle"}, {"human_bb...
2,265,268
{"width": 612, "height": 612, "boxes": [{"human_bbox": [37, 27, 584, 580], "object_bbox": [35, 33, 564, 447], "object_class": "scissors", "verb_class": "hold, open"}]}
2,330,249
{"width": 640, "height": 480, "boxes": [{"human_bbox": [53, 133, 249, 378], "object_bbox": [74, 239, 453, 432], "object_class": "dining table", "verb_class": "eat at"}, {"human_bbox": [381, 158, 593, 468], "object_bbox": [74, 239, 453, 432], "object_class": "dining table", "verb_class": "eat at"}, {"human_bbox": [89, 1...
2,399,506
{"width": 640, "height": 360, "boxes": [{"human_bbox": [572, 161, 638, 288], "object_bbox": [572, 162, 637, 189], "object_class": "umbrella", "verb_class": "hold"}]}
2,434,483
{"width": 480, "height": 640, "boxes": [{"human_bbox": [131, 205, 146, 230], "object_bbox": [340, 247, 473, 308], "object_class": "bicycle", "verb_class": "no interaction"}, {"human_bbox": [131, 205, 146, 230], "object_bbox": [227, 256, 454, 340], "object_class": "bicycle", "verb_class": "no interaction"}, {"human_bbox...
2,546,044
{"width": 640, "height": 417, "boxes": [{"human_bbox": [463, 207, 512, 256], "object_bbox": [96, 26, 582, 369], "object_class": "bus", "verb_class": "drive"}]}
2,620,157
{"width": 640, "height": 427, "boxes": [{"human_bbox": [265, 34, 377, 222], "object_bbox": [267, 177, 353, 251], "object_class": "skateboard", "verb_class": "jump, ride"}, {"human_bbox": [273, 44, 371, 214], "object_bbox": [275, 193, 351, 250], "object_class": "skateboard", "verb_class": "stand on"}]}
2,662,258
{"width": 640, "height": 480, "boxes": [{"human_bbox": [57, 9, 473, 441], "object_bbox": [421, 263, 477, 313], "object_class": "mouse", "verb_class": "control"}, {"human_bbox": [51, 37, 477, 476], "object_bbox": [437, 293, 479, 311], "object_class": "mouse", "verb_class": "hold"}]}
2,719,419
{"width": 640, "height": 427, "boxes": [{"human_bbox": [176, 9, 339, 327], "object_bbox": [250, 251, 321, 358], "object_class": "skateboard", "verb_class": "ride"}, {"human_bbox": [176, 28, 352, 335], "object_bbox": [229, 263, 318, 348], "object_class": "skateboard", "verb_class": "stand on"}]}
2,750,752
{"width": 426, "height": 640, "boxes": [{"human_bbox": [123, 202, 270, 496], "object_bbox": [239, 278, 286, 329], "object_class": "sports ball", "verb_class": "carry, dribble, hold"}, {"human_bbox": [106, 207, 285, 495], "object_bbox": [236, 270, 291, 335], "object_class": "sports ball", "verb_class": "hit"}]}
2,794,613
{"width": 640, "height": 427, "boxes": [{"human_bbox": [52, 10, 567, 423], "object_bbox": [104, 160, 365, 408], "object_class": "book", "verb_class": "hold, open, read"}]}
2,821,190
{"width": 640, "height": 428, "boxes": [{"human_bbox": [281, 101, 636, 426], "object_bbox": [38, 4, 392, 425], "object_class": "person", "verb_class": "hold"}]}
2,860,343
{"width": 457, "height": 640, "boxes": [{"human_bbox": [157, 160, 244, 414], "object_bbox": [222, 298, 291, 415], "object_class": "fire hydrant", "verb_class": "no interaction"}]}
2,928,876
{"width": 640, "height": 426, "boxes": [{"human_bbox": [363, 141, 378, 241], "object_bbox": [367, 234, 392, 390], "object_class": "baseball bat", "verb_class": "carry"}, {"human_bbox": [293, 41, 379, 106], "object_bbox": [367, 234, 392, 390], "object_class": "baseball bat", "verb_class": "carry"}, {"human_bbox": [280, ...
3,001,441
{"width": 640, "height": 427, "boxes": [{"human_bbox": [1, 49, 263, 426], "object_bbox": [196, 65, 399, 292], "object_class": "baseball bat", "verb_class": "hold, wield"}]}
3,051,102
{"width": 480, "height": 640, "boxes": [{"human_bbox": [17, 17, 416, 638], "object_bbox": [316, 226, 477, 305], "object_class": "skateboard", "verb_class": "no interaction"}]}
3,158,795
{"width": 640, "height": 390, "boxes": [{"human_bbox": [489, 213, 562, 385], "object_bbox": [89, 93, 140, 145], "object_class": "kite", "verb_class": "fly"}, {"human_bbox": [497, 223, 556, 380], "object_bbox": [551, 89, 636, 224], "object_class": "kite", "verb_class": "pull"}]}
3,196,200
{"width": 640, "height": 512, "boxes": [{"human_bbox": [13, 134, 316, 511], "object_bbox": [152, 15, 477, 137], "object_class": "airplane", "verb_class": "no interaction"}]}
3,237,457
{"width": 640, "height": 424, "boxes": [{"human_bbox": [593, 111, 629, 151], "object_bbox": [1, 61, 553, 420], "object_class": "car", "verb_class": "no interaction"}]}
3,303,958
{"width": 640, "height": 480, "boxes": [{"human_bbox": [101, 189, 371, 479], "object_bbox": [257, 137, 353, 313], "object_class": "baseball bat", "verb_class": "hold, wield"}]}
3,361,243
{"width": 640, "height": 426, "boxes": [{"human_bbox": [387, 55, 554, 425], "object_bbox": [50, 212, 636, 421], "object_class": "motorcycle", "verb_class": "sit on"}, {"human_bbox": [147, 93, 291, 266], "object_bbox": [1, 127, 392, 412], "object_class": "motorcycle", "verb_class": "straddle"}, {"human_bbox": [394, 100,...
3,456,824
{"width": 640, "height": 480, "boxes": [{"human_bbox": [269, 68, 377, 372], "object_bbox": [209, 196, 306, 375], "object_class": "bicycle", "verb_class": "hold, straddle"}, {"human_bbox": [385, 57, 497, 350], "object_bbox": [378, 198, 505, 383], "object_class": "bicycle", "verb_class": "ride"}, {"human_bbox": [370, 76,...
3,534,881
{"width": 640, "height": 353, "boxes": [{"human_bbox": [297, 101, 385, 279], "object_bbox": [100, 113, 466, 322], "object_class": "motorcycle", "verb_class": "hold, ride, sit on, straddle"}, {"human_bbox": [213, 93, 340, 279], "object_bbox": [100, 113, 466, 322], "object_class": "motorcycle", "verb_class": "hold, ride,...
3,586,082
{"width": 640, "height": 288, "boxes": [{"human_bbox": [377, 60, 425, 109], "object_bbox": [387, 101, 425, 139], "object_class": "motorcycle", "verb_class": "race"}, {"human_bbox": [322, 58, 364, 115], "object_bbox": [324, 109, 375, 165], "object_class": "motorcycle", "verb_class": "race"}, {"human_bbox": [155, 80, 214...
3,640,631
{"width": 640, "height": 450, "boxes": [{"human_bbox": [244, 119, 369, 363], "object_bbox": [409, 5, 620, 325], "object_class": "tv", "verb_class": "control, watch"}, {"human_bbox": [167, 145, 312, 380], "object_bbox": [409, 5, 620, 325], "object_class": "tv", "verb_class": "control, watch"}, {"human_bbox": [85, 165, 3...
3,714,504
{"width": 508, "height": 640, "boxes": [{"human_bbox": [130, 164, 420, 585], "object_bbox": [52, 77, 341, 197], "object_class": "umbrella", "verb_class": "carry"}, {"human_bbox": [173, 153, 414, 609], "object_bbox": [46, 51, 353, 377], "object_class": "umbrella", "verb_class": "hold"}, {"human_bbox": [148, 138, 411, 59...
3,790,361
{"width": 640, "height": 480, "boxes": [{"human_bbox": [275, 156, 403, 319], "object_bbox": [197, 284, 437, 479], "object_class": "dining table", "verb_class": "eat at, sit at"}, {"human_bbox": [365, 177, 553, 477], "object_bbox": [197, 284, 437, 479], "object_class": "dining table", "verb_class": "eat at, sit at"}, {"...
3,853,286
{"width": 593, "height": 640, "boxes": [{"human_bbox": [0, 1, 591, 489], "object_bbox": [83, 384, 466, 638], "object_class": "cake", "verb_class": "blow"}]}
3,926,183
{"width": 640, "height": 426, "boxes": [{"human_bbox": [16, 157, 157, 340], "object_bbox": [67, 334, 150, 351], "object_class": "skateboard", "verb_class": "ride"}, {"human_bbox": [13, 152, 159, 339], "object_bbox": [64, 330, 159, 356], "object_class": "skateboard", "verb_class": "stand on"}]}
3,979,900
{"width": 427, "height": 640, "boxes": [{"human_bbox": [39, 162, 386, 637], "object_bbox": [206, 488, 413, 635], "object_class": "skateboard", "verb_class": "ride, stand on"}]}
4,028,569
{"width": 640, "height": 427, "boxes": [{"human_bbox": [231, 93, 382, 426], "object_bbox": [366, 29, 540, 425], "object_class": "person", "verb_class": "hold"}, {"human_bbox": [231, 93, 382, 426], "object_bbox": [25, 51, 266, 425], "object_class": "person", "verb_class": "hold"}, {"human_bbox": [364, 27, 540, 422], "ob...
4,089,134
{"width": 427, "height": 640, "boxes": [{"human_bbox": [16, 149, 379, 546], "object_bbox": [5, 117, 422, 635], "object_class": "couch", "verb_class": "sit on"}]}
4,159,647
{"width": 640, "height": 545, "boxes": [{"human_bbox": [84, 22, 274, 538], "object_bbox": [279, 301, 472, 514], "object_class": "suitcase", "verb_class": "carry"}, {"human_bbox": [29, 35, 310, 541], "object_bbox": [247, 268, 476, 539], "object_class": "suitcase", "verb_class": "drag, hold"}]}
4,250,180
{"width": 428, "height": 640, "boxes": [{"human_bbox": [6, 40, 425, 601], "object_bbox": [17, 256, 385, 637], "object_class": "sheep", "verb_class": "hold, shear"}]}
4,295,865
{"width": 626, "height": 640, "boxes": [{"human_bbox": [149, 426, 214, 574], "object_bbox": [236, 163, 494, 362], "object_class": "motorcycle", "verb_class": "jump"}, {"human_bbox": [318, 91, 438, 303], "object_bbox": [236, 163, 494, 362], "object_class": "motorcycle", "verb_class": "jump, ride"}]}
4,360,638
{"width": 640, "height": 428, "boxes": [{"human_bbox": [74, 71, 383, 400], "object_bbox": [139, 253, 219, 315], "object_class": "book", "verb_class": "hold"}]}
4,402,643
{"width": 640, "height": 360, "boxes": [{"human_bbox": [269, 137, 392, 285], "object_bbox": [250, 278, 404, 292], "object_class": "skis", "verb_class": "stand on"}, {"human_bbox": [268, 134, 398, 289], "object_bbox": [357, 55, 421, 294], "object_class": "skis", "verb_class": "wear"}]}
4,469,164
{"width": 640, "height": 480, "boxes": [{"human_bbox": [210, 172, 297, 394], "object_bbox": [218, 230, 253, 265], "object_class": "sports ball", "verb_class": "carry"}, {"human_bbox": [208, 170, 296, 396], "object_bbox": [209, 226, 255, 270], "object_class": "sports ball", "verb_class": "hold"}]}
4,534,125
{"width": 426, "height": 640, "boxes": [{"human_bbox": [163, 41, 275, 201], "object_bbox": [59, 104, 216, 346], "object_class": "bicycle", "verb_class": "carry"}, {"human_bbox": [197, 259, 347, 593], "object_bbox": [109, 244, 288, 594], "object_class": "bicycle", "verb_class": "carry, walk"}, {"human_bbox": [101, 6, 18...
4,614,194
{"width": 640, "height": 505, "boxes": [{"human_bbox": [433, 239, 465, 307], "object_bbox": [204, 245, 327, 344], "object_class": "cow", "verb_class": "no interaction"}, {"human_bbox": [433, 239, 465, 307], "object_bbox": [316, 264, 456, 361], "object_class": "cow", "verb_class": "no interaction"}, {"human_bbox": [433,...
4,679,479
{"width": 640, "height": 524, "boxes": [{"human_bbox": [50, 38, 286, 487], "object_bbox": [259, 166, 298, 222], "object_class": "frisbee", "verb_class": "hold"}]}
4,747,968
{"width": 640, "height": 457, "boxes": [{"human_bbox": [125, 279, 141, 295], "object_bbox": [45, 114, 249, 310], "object_class": "boat", "verb_class": "ride"}, {"human_bbox": [213, 278, 229, 300], "object_bbox": [45, 114, 249, 310], "object_class": "boat", "verb_class": "ride, sail"}, {"human_bbox": [453, 323, 482, 348...
4,799,205
{"width": 640, "height": 400, "boxes": [{"human_bbox": [65, 203, 81, 248], "object_bbox": [81, 140, 492, 318], "object_class": "train", "verb_class": "no interaction"}, {"human_bbox": [56, 195, 70, 246], "object_bbox": [81, 140, 492, 318], "object_class": "train", "verb_class": "no interaction"}, {"human_bbox": [33, 19...
4,875,414
{"width": 640, "height": 427, "boxes": [{"human_bbox": [295, 79, 375, 412], "object_bbox": [338, 157, 413, 263], "object_class": "backpack", "verb_class": "carry"}, {"human_bbox": [294, 74, 377, 410], "object_bbox": [311, 124, 410, 259], "object_class": "backpack", "verb_class": "wear"}]}
4,940,687
{"width": 640, "height": 468, "boxes": [{"human_bbox": [21, 18, 340, 466], "object_bbox": [200, 207, 449, 466], "object_class": "keyboard", "verb_class": "carry, hold"}]}
5,000,860
{"width": 640, "height": 628, "boxes": [{"human_bbox": [278, 409, 384, 513], "object_bbox": [398, 227, 463, 304], "object_class": "skateboard", "verb_class": "no interaction"}]}
5,106,353
{"width": 640, "height": 426, "boxes": [{"human_bbox": [426, 278, 432, 299], "object_bbox": [2, 4, 638, 420], "object_class": "boat", "verb_class": "ride"}, {"human_bbox": [258, 253, 266, 275], "object_bbox": [2, 4, 638, 420], "object_class": "boat", "verb_class": "ride, stand on"}, {"human_bbox": [201, 277, 206, 306],...
5,159,238
{"width": 640, "height": 425, "boxes": [{"human_bbox": [114, 17, 543, 401], "object_bbox": [57, 92, 302, 246], "object_class": "mouse", "verb_class": "hold"}, {"human_bbox": [114, 17, 543, 401], "object_bbox": [324, 97, 567, 253], "object_class": "mouse", "verb_class": "hold"}]}
5,186,035
{"width": 640, "height": 640, "boxes": [{"human_bbox": [161, 271, 301, 494], "object_bbox": [81, 146, 441, 390], "object_class": "umbrella", "verb_class": "hold"}]}
5,328,208
{"width": 640, "height": 480, "boxes": [{"human_bbox": [77, 59, 636, 474], "object_bbox": [205, 45, 383, 181], "object_class": "bottle", "verb_class": "hold"}]}
5,390,865
{"width": 640, "height": 428, "boxes": [{"human_bbox": [308, 331, 606, 425], "object_bbox": [227, 102, 531, 324], "object_class": "bird", "verb_class": "hold"}]}
5,424,802
{"width": 640, "height": 426, "boxes": [{"human_bbox": [41, 132, 639, 422], "object_bbox": [450, 330, 638, 394], "object_class": "surfboard", "verb_class": "lie on"}, {"human_bbox": [45, 133, 636, 406], "object_bbox": [200, 334, 635, 386], "object_class": "surfboard", "verb_class": "ride"}]}
5,472,591
{"width": 619, "height": 640, "boxes": [{"human_bbox": [28, 6, 602, 632], "object_bbox": [141, 192, 234, 321], "object_class": "cell phone", "verb_class": "carry, hold"}, {"human_bbox": [61, 4, 593, 638], "object_bbox": [165, 216, 208, 314], "object_class": "cell phone", "verb_class": "talk on"}]}
5,527,672
{"width": 640, "height": 480, "boxes": [{"human_bbox": [117, 111, 253, 297], "object_bbox": [0, 225, 509, 477], "object_class": "dining table", "verb_class": "sit at"}, {"human_bbox": [283, 89, 472, 256], "object_bbox": [0, 225, 509, 477], "object_class": "dining table", "verb_class": "sit at"}, {"human_bbox": [1, 120,...
5,607,985
{"width": 427, "height": 640, "boxes": [{"human_bbox": [93, 382, 148, 502], "object_bbox": [62, 447, 153, 542], "object_class": "boat", "verb_class": "row"}]}
5,705,618
{"width": 579, "height": 448, "boxes": [{"human_bbox": [109, 71, 577, 411], "object_bbox": [209, 206, 343, 430], "object_class": "person", "verb_class": "teach"}]}
5,757,643
{"width": 640, "height": 439, "boxes": [{"human_bbox": [302, 155, 359, 231], "object_bbox": [71, 103, 515, 367], "object_class": "bus", "verb_class": "drive"}, {"human_bbox": [353, 185, 377, 213], "object_bbox": [93, 97, 522, 372], "object_class": "bus", "verb_class": "ride"}, {"human_bbox": [387, 160, 425, 227], "obje...
5,843,420
{"width": 640, "height": 467, "boxes": [{"human_bbox": [2, 70, 639, 465], "object_bbox": [3, 2, 410, 336], "object_class": "bottle", "verb_class": "drink with, hold"}]}
5,879,157
{"width": 480, "height": 640, "boxes": [{"human_bbox": [171, 74, 445, 510], "object_bbox": [41, 103, 402, 588], "object_class": "horse", "verb_class": "straddle"}]}
5,939,130
{"width": 427, "height": 640, "boxes": [{"human_bbox": [52, 135, 232, 414], "object_bbox": [77, 190, 244, 553], "object_class": "horse", "verb_class": "ride"}]}
6,005,239
{"width": 640, "height": 440, "boxes": [{"human_bbox": [213, 73, 344, 433], "object_bbox": [32, 81, 225, 411], "object_class": "cow", "verb_class": "feed, pet"}]}
6,076,012
{"width": 640, "height": 424, "boxes": [{"human_bbox": [353, 155, 380, 220], "object_bbox": [141, 100, 429, 340], "object_class": "boat", "verb_class": "ride, stand on"}]}
6,158,237
{"width": 640, "height": 357, "boxes": [{"human_bbox": [453, 5, 634, 300], "object_bbox": [546, 258, 637, 354], "object_class": "laptop", "verb_class": "read"}]}
6,217,138
{"width": 640, "height": 480, "boxes": [{"human_bbox": [1, 187, 289, 453], "object_bbox": [1, 212, 314, 466], "object_class": "couch", "verb_class": "lie on"}]}
6,303,255
{"width": 471, "height": 640, "boxes": [{"human_bbox": [190, 180, 447, 355], "object_bbox": [289, 272, 389, 315], "object_class": "book", "verb_class": "open, read"}]}
End of preview.

HOI-R1 HICO-DET training data

This repository keeps the three training data variants used for HOI-R1 in separate folders. The files retain their original format and names.

Folder Training target Contents
Qwen2.5-VL/ Qwen2.5-VL JSON object keyed by HICO-DET image ID, with image and thinking fields (37,628 entries).
Rex-Omni/ Rex-Omni data.annotations.tsv, data.images.tsv, and data.annotations.tsv.lineidx (37,633 lines each). The image TSV contains encoded image data.
Qwen3-VL/ Qwen3-VL JSONL with messages, images, and id fields (37,628 records).

The Qwen2.5-VL file identifies images by HICO-DET ID. The Qwen3-VL JSONL retains the original absolute paths in its images field; change them to your HICO-DET image location before training on another machine.

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Models trained or fine-tuned on thxplz/HOI-R1_HICO-DET_dataset

Collection including thxplz/HOI-R1_HICO-DET_dataset