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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 3 new columns ({'caption', 'frame_idx', 'mask'}) and 2 missing columns ({'masks', 'conversations'}).
This happened while the json dataset builder was generating data using
hf://datasets/CircleRadon/referring_evaluation/hc_stvg_val.json (at revision 15741c53fa1bb86c03ba8406de51454108d5c027)
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 "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
video: string
caption: string
frame_idx: string
mask: struct<counts: string, size: list<item: int64>>
child 0, counts: string
child 1, size: list<item: int64>
child 0, item: int64
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 551
to
{'video': List(Value('string')), 'conversations': List({'from': Value('string'), 'value': Value('string')}), 'masks': List({'1': {'counts': Value('string'), 'size': List(Value('int64'))}, '10': {'counts': Value('string'), 'size': List(Value('int64'))}, '100': {'counts': Value('string'), 'size': List(Value('int64'))}, '101': {'counts': Value('string'), 'size': List(Value('int64'))}, '102': {'counts': Value('string'), 'size': List(Value('int64'))}, '103': {'counts': Value('string'), 'size': List(Value('int64'))}, '104': {'counts': Value('string'), 'size': List(Value('int64'))}, '105': {'counts': Value('string'), 'size': List(Value('int64'))}, '106': {'counts': Value('string'), 'size': List(Value('int64'))}, '107': {'counts': Value('string'), 'size': List(Value('int64'))}, '108': {'counts': Value('string'), 'size': List(Value('int64'))}, '109': {'counts': Value('string'), 'size': List(Value('int64'))}, '11': {'counts': Value('string'), 'size': List(Value('int64'))}, '110': {'counts': Value('string'), 'size': List(Value('int64'))}, '111': {'counts': Value('string'), 'size': List(Value('int64'))}, '112': {'counts': Value('string'), 'size': List(Value('int64'))}, '113': {'counts': Value('string'), 'size': List(Value('int64'))}, '114': {'counts': Value('string'), 'size': List(Value('int64'))}, '115': {'counts': Value('string'), 'size': List(Value('int64'))}, '116': {'counts': Value('string'), 'size': List(Value('int64'))}, '117': {'counts': Value('string'), 'size': List(Value('int64
...
'))}, '79': {'counts': Value('string'), 'size': List(Value('int64'))}, '8': {'counts': Value('string'), 'size': List(Value('int64'))}, '80': {'counts': Value('string'), 'size': List(Value('int64'))}, '81': {'counts': Value('string'), 'size': List(Value('int64'))}, '82': {'counts': Value('string'), 'size': List(Value('int64'))}, '83': {'counts': Value('string'), 'size': List(Value('int64'))}, '84': {'counts': Value('string'), 'size': List(Value('int64'))}, '85': {'counts': Value('string'), 'size': List(Value('int64'))}, '86': {'counts': Value('string'), 'size': List(Value('int64'))}, '87': {'counts': Value('string'), 'size': List(Value('int64'))}, '88': {'counts': Value('string'), 'size': List(Value('int64'))}, '89': {'counts': Value('string'), 'size': List(Value('int64'))}, '9': {'counts': Value('string'), 'size': List(Value('int64'))}, '90': {'counts': Value('string'), 'size': List(Value('int64'))}, '91': {'counts': Value('string'), 'size': List(Value('int64'))}, '92': {'counts': Value('string'), 'size': List(Value('int64'))}, '93': {'counts': Value('string'), 'size': List(Value('int64'))}, '94': {'counts': Value('string'), 'size': List(Value('int64'))}, '95': {'counts': Value('string'), 'size': List(Value('int64'))}, '96': {'counts': Value('string'), 'size': List(Value('int64'))}, '97': {'counts': Value('string'), 'size': List(Value('int64'))}, '98': {'counts': Value('string'), 'size': List(Value('int64'))}, '99': {'counts': Value('string'), 'size': 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 1455, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/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 3 new columns ({'caption', 'frame_idx', 'mask'}) and 2 missing columns ({'masks', 'conversations'}).
This happened while the json dataset builder was generating data using
hf://datasets/CircleRadon/referring_evaluation/hc_stvg_val.json (at revision 15741c53fa1bb86c03ba8406de51454108d5c027)
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.
video list | conversations list | masks list |
|---|---|---|
[
"HC-STVG/video_parts/6/50_TM5MPJIq1Is.mkv"
] | [
{
"from": "human",
"value": "Please detail the unique features of the highlighted area <region> in the video."
},
{
"from": "gpt",
"value": "The man standing by the stairs goes to the car."
}
] | [
{
"1": null,
"2": null,
"3": null,
"4": null,
"5": null,
"6": null,
"7": null,
"8": null,
"9": null,
"10": {
"counts": "PnZ54j>2O1O2M2N2O1N2K5K5L4ZMTOSGQ1k8SOnFQ1R9POjFT1U9mNdFZ1[9hN]F_1b9bNXFd1g9]NTFh1k9YNRFj1n9VNnEn1Q:SNmEo1R:RNkEQ2T:PNiES2U:PNhER2[8iMXHf3e7cLPHa3P8eL... |
[
"HC-STVG/video_parts/0/103_o4xQ-BEa3Ss.mp4"
] | [
{
"from": "human",
"value": "Please elaborate on the key characteristics of the marked object <region> in the video."
},
{
"from": "gpt",
"value": "The woman in the yellow dress hugs the opposite man, then releases and walks forward."
}
] | [
{
"1": null,
"2": null,
"3": null,
"4": null,
"5": null,
"6": null,
"7": null,
"8": null,
"9": null,
"10": null,
"11": null,
"12": null,
"13": null,
"14": null,
"15": null,
"16": null,
"17": null,
"18": null,
"19": null,
"20": null,
... |
[
"HC-STVG/video_parts/9/88_xH1WLtZ8csM.mp4"
] | [
{
"from": "human",
"value": "Please detail the unique features of the highlighted area <region> in the video."
},
{
"from": "gpt",
"value": "The woman in the skirt of the flower walks to the door, then turns."
}
] | [
{
"1": null,
"2": null,
"3": null,
"4": null,
"5": null,
"6": null,
"7": null,
"8": null,
"9": null,
"10": null,
"11": null,
"12": null,
"13": null,
"14": null,
"15": null,
"16": null,
"17": {
"counts": "fS\\3c0ee0<G6M7H>Ca0^O8I5L5Z\\OVM]c0T3... |
[
"HC-STVG/video_parts/4/26_l8_Mk3-sZsQ.mkv"
] | [{"from":"human","value":"Please give a description of the highlighted object <region> in the video.(...TRUNCATED) | [{"1":null,"10":null,"100":null,"101":null,"102":null,"103":null,"104":null,"105":null,"106":null,"1(...TRUNCATED) |
[
"HC-STVG/video_parts/3/23_EO1gLAoEZRA.mp4"
] | [{"from":"human","value":"Could you elaborate on the section highlighted <region> in the video?"},{"(...TRUNCATED) | [{"1":null,"10":null,"100":null,"101":null,"102":null,"103":null,"104":null,"105":null,"106":null,"1(...TRUNCATED) |
[
"HC-STVG/video_parts/0/103_kW5WyJ1QNpM.mkv"
] | [{"from":"human","value":"Can you explain the complexities of the marked area <region> in the video?(...TRUNCATED) | [{"1":null,"10":null,"100":null,"101":null,"102":null,"103":null,"104":null,"105":null,"106":null,"1(...TRUNCATED) |
[
"HC-STVG/video_parts/3/1_gEI9qBdVt5I.mp4"
] | [{"from":"human","value":"Please describe the important aspects of the marked object <region> in the(...TRUNCATED) | [{"1":null,"10":null,"100":null,"101":null,"102":null,"103":null,"104":null,"105":null,"106":null,"1(...TRUNCATED) |
[
"HC-STVG/video_parts/4/27_E-fqjlYMFhE.mp4"
] | [{"from":"human","value":"Please provide an explanation of the marked area <region> in the video."},(...TRUNCATED) | [{"1":null,"10":null,"100":null,"101":null,"102":null,"103":null,"104":null,"105":null,"106":null,"1(...TRUNCATED) |
[
"HC-STVG/video_parts/7/55_pGP_oIdKmRY.mkv"
] | [{"from":"human","value":"Please provide a thorough overview of the highlighted section <region> in (...TRUNCATED) | [{"1":null,"10":null,"100":null,"101":null,"102":null,"103":{"counts":"RbX41f>;Fh0eAnN15Z=_1L3NGkBgN(...TRUNCATED) |
[
"HC-STVG/video_parts/1/146_uNT6HrrnqPU.mp4"
] | [{"from":"human","value":"Please explain the identified object <region> in the video."},{"from":"gpt(...TRUNCATED) | [{"1":null,"10":null,"100":null,"101":null,"102":null,"103":null,"104":null,"105":null,"106":null,"1(...TRUNCATED) |
End of preview.