POVQA: Preference-Optimized Video Question Answering with Rationales for Data Efficiency
Paper • 2510.01009 • Published
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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 17 new columns ({'frames_processed', 'avg_method', 'movie', 'fps_used_or_native', 'chunk_size_arg', 'target_fps_arg', 'skip_frames_between_chunks', 'key_frames_total_in_annotations', 'fps_mode', 'video_path', 'resize_to', 'output_dir', 'annotation_file', 'chunk_seconds', 'has_subtitles', 'key_frames_found', 'total_chunks'}) and 4 missing columns ({'text', 'text_start_time_sec', 'text_end_time_sec', 'corresponding_chunks'}).
This happened while the json dataset builder was generating data using
hf://datasets/ashimdahal/povqa-preprocessed/a_beautiful_mind/run_summary.json (at revision 464b123ecf12a3dafc9208d318d29cb4912f4f69), ['hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_beautiful_mind/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_beautiful_mind/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_beautiful_mind/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_beautiful_mind/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_beautiful_mind/metadata_text_centric_weighted_average_ramp.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_beautiful_mind/run_summary.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_fistful_of_dollars/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_fistful_of_dollars/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_fistful_of_dollars/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_fistful_of_dollars/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_fistful_of_dollars/metadata_text_centric_weighted_average_ramp.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_fistful_of_dollars/run_summary.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/all_quiet_on_the_western_front/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/all_quiet_on_the_western_front/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/all_quiet_on_the_western_front/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/all_quiet_on_the_western_front/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/all_quiet_on_the_western_front/metadata_text_centric_weighted_average_ramp.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/all_quiet_on_the_western_front/run_summary.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/hero/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/hero/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/hero/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/hero/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/hero/metadata_text_centric_weighted_average_ramp.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/hero/run_summary.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/in_the_mood_for_love/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/in_the_mood_for_love/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/in_the_mood_for_love/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/in_the_mood_for_love/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/in_the_mood_for_love/metadata_text_centric_weighted_average_ramp.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/in_the_mood_for_love/run_summary.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/knives_out/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/knives_out/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/knives_out/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/knives_out/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/knives_out/metadata_text_centric_weighted_average_ramp.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/knives_out/run_summary.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/manifest.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/parasite/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/parasite/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/parasite/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/parasite/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/parasite/metadata_text_centric_weighted_average_ramp.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/parasite/run_summary.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/police_story/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/police_story/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/police_story/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/police_story/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/police_story/metadata_text_centric_weighted_average_ramp.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/police_story/run_summary.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/spirited_away/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/spirited_away/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/spirited_away/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/spirited_away/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/spirited_away/metadata_text_centric_weighted_average_ramp.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/spirited_away/run_summary.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_intouchables/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_intouchables/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_intouchables/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_intouchables/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_intouchables/metadata_text_centric_weighted_average_ramp.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_intouchables/run_summary.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_matrix/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_matrix/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_matrix/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_matrix/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_matrix/metadata_text_centric_weighted_average_ramp.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_matrix/run_summary.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_social_dilemma/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_social_dilemma/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_social_dilemma/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_social_dilemma/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_social_dilemma/metadata_text_centric_weighted_average_ramp.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/the_social_dilemma/run_summary.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 1890, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, 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
movie: string
video_path: string
fps_mode: string
fps_used_or_native: double
target_fps_arg: double
chunk_size_arg: int64
chunk_seconds: double
skip_frames_between_chunks: int64
resize_to: list<item: int64>
child 0, item: int64
avg_method: string
total_chunks: int64
frames_processed: int64
has_subtitles: bool
key_frames_found: int64
key_frames_total_in_annotations: int64
annotation_file: null
output_dir: string
to
{'text': Value('string'), 'text_start_time_sec': Value('float64'), 'text_end_time_sec': Value('float64'), 'corresponding_chunks': List({'image_file_range': Value('string'), 'saved_chunk_filename': Value('string'), 'chunk_start_time_sec': Value('float64'), 'chunk_end_time_sec': Value('float64')})}
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 1739, 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 1892, 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 17 new columns ({'frames_processed', 'avg_method', 'movie', 'fps_used_or_native', 'chunk_size_arg', 'target_fps_arg', 'skip_frames_between_chunks', 'key_frames_total_in_annotations', 'fps_mode', 'video_path', 'resize_to', 'output_dir', 'annotation_file', 'chunk_seconds', 'has_subtitles', 'key_frames_found', 'total_chunks'}) and 4 missing columns ({'text', 'text_start_time_sec', 'text_end_time_sec', 'corresponding_chunks'}).
This happened while the json dataset builder was generating data using
hf://datasets/ashimdahal/povqa-preprocessed/a_beautiful_mind/run_summary.json (at revision 464b123ecf12a3dafc9208d318d29cb4912f4f69), ['hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_beautiful_mind/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_beautiful_mind/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_beautiful_mind/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_beautiful_mind/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_beautiful_mind/metadata_text_centric_weighted_average_ramp.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_beautiful_mind/run_summary.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_fistful_of_dollars/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_fistful_of_dollars/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_fistful_of_dollars/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_fistful_of_dollars/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_fistful_of_dollars/metadata_text_centric_weighted_average_ramp.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/a_fistful_of_dollars/run_summary.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/all_quiet_on_the_western_front/metadata_text_centric.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/all_quiet_on_the_western_front/metadata_text_centric_blend_blur_with_last_frame.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/all_quiet_on_the_western_front/metadata_text_centric_weighted_average.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/all_quiet_on_the_western_front/metadata_text_centric_weighted_average_exponential.json', 'hf://datasets/ashimdahal/povqa-preprocessed@464b123ecf12a3dafc9208d318d29cb4912f4f69/all_quiet_on_the_western_front/metadata_text_centric_weighted_average_ramp.json', 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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.
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The next Einstein? | 124.64 | 126.27 | [
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"image_file_range": "sample00159-sample00182",
"saved_chunk_filename": "frame00159.jpg",
"chunk_start_time_sec": 158,
"chunk_end_... |
160.63 | 160.72 | [
{
"image_file_range": "sample00161-sample00184",
"saved_chunk_filename": "frame00161.jpg",
"chunk_start_time_sec": 160,
"chunk_end_time_sec": 161
}
] | |
No, he wants it all for himself. | 160.72 | 162.68 | [
{
"image_file_range": "sample00161-sample00184",
"saved_chunk_filename": "frame00161.jpg",
"chunk_start_time_sec": 160,
"chunk_end_time_sec": 161
},
{
"image_file_range": "sample00162-sample00185",
"saved_chunk_filename": "frame00162.jpg",
"chunk_start_time_sec": 161,
"chunk_end_... |
162.68 | 163.64 | [
{
"image_file_range": "sample00163-sample00186",
"saved_chunk_filename": "frame00163.jpg",
"chunk_start_time_sec": 162,
"chunk_end_time_sec": 163
},
{
"image_file_range": "sample00164-sample00187",
"saved_chunk_filename": "frame00164.jpg",
"chunk_start_time_sec": 163,
"chunk_end_... | |
It's the first time the Carnegie Prize has been split. Hansen's all bent. | 163.64 | 167.35 | [
{
"image_file_range": "sample00164-sample00187",
"saved_chunk_filename": "frame00164.jpg",
"chunk_start_time_sec": 163,
"chunk_end_time_sec": 164
},
{
"image_file_range": "sample00165-sample00188",
"saved_chunk_filename": "frame00165.jpg",
"chunk_start_time_sec": 164,
"chunk_end_... |
167.35 | 167.43 | [
{
"image_file_range": "sample00168-sample00191",
"saved_chunk_filename": "frame00168.jpg",
"chunk_start_time_sec": 167,
"chunk_end_time_sec": 168
}
] | |
He has his sights set on Wheeler Lab, MIT's military think-tank. | 167.43 | 171.77 | [
{
"image_file_range": "sample00168-sample00191",
"saved_chunk_filename": "frame00168.jpg",
"chunk_start_time_sec": 167,
"chunk_end_time_sec": 168
},
{
"image_file_range": "sample00169-sample00192",
"saved_chunk_filename": "frame00169.jpg",
"chunk_start_time_sec": 168,
"chunk_end_... |
171.77 | 171.85 | [
{
"image_file_range": "sample00172-sample00195",
"saved_chunk_filename": "frame00172.jpg",
"chunk_start_time_sec": 171,
"chunk_end_time_sec": 172
}
] | |
They're only taking one this year. | 171.85 | 174.15 | [
{
"image_file_range": "sample00172-sample00195",
"saved_chunk_filename": "frame00172.jpg",
"chunk_start_time_sec": 171,
"chunk_end_time_sec": 172
},
{
"image_file_range": "sample00173-sample00196",
"saved_chunk_filename": "frame00173.jpg",
"chunk_start_time_sec": 172,
"chunk_end_... |
174.15 | 174.23 | [
{
"image_file_range": "sample00175-sample00198",
"saved_chunk_filename": "frame00175.jpg",
"chunk_start_time_sec": 174,
"chunk_end_time_sec": 175
}
] | |
Hansen's used to being picked first. | 174.23 | 176.11 | [
{
"image_file_range": "sample00175-sample00198",
"saved_chunk_filename": "frame00175.jpg",
"chunk_start_time_sec": 174,
"chunk_end_time_sec": 175
},
{
"image_file_range": "sample00176-sample00199",
"saved_chunk_filename": "frame00176.jpg",
"chunk_start_time_sec": 175,
"chunk_end_... |
176.11 | 176.19 | [
{
"image_file_range": "sample00177-sample00200",
"saved_chunk_filename": "frame00177.jpg",
"chunk_start_time_sec": 176,
"chunk_end_time_sec": 177
}
] | |
Yeah, he's wasted on math. | 176.19 | 177.86 | [
{
"image_file_range": "sample00177-sample00200",
"saved_chunk_filename": "frame00177.jpg",
"chunk_start_time_sec": 176,
"chunk_end_time_sec": 177
},
{
"image_file_range": "sample00178-sample00201",
"saved_chunk_filename": "frame00178.jpg",
"chunk_start_time_sec": 177,
"chunk_end_... |
177.86 | 177.94 | [
{
"image_file_range": "sample00178-sample00201",
"saved_chunk_filename": "frame00178.jpg",
"chunk_start_time_sec": 177,
"chunk_end_time_sec": 178
}
] | |
He should be running for president. | 177.94 | 180.15 | [
{
"image_file_range": "sample00178-sample00201",
"saved_chunk_filename": "frame00178.jpg",
"chunk_start_time_sec": 177,
"chunk_end_time_sec": 178
},
{
"image_file_range": "sample00179-sample00202",
"saved_chunk_filename": "frame00179.jpg",
"chunk_start_time_sec": 178,
"chunk_end_... |
180.15 | 190.12 | [
{
"image_file_range": "sample00181-sample00204",
"saved_chunk_filename": "frame00181.jpg",
"chunk_start_time_sec": 180,
"chunk_end_time_sec": 181
},
{
"image_file_range": "sample00182-sample00205",
"saved_chunk_filename": "frame00182.jpg",
"chunk_start_time_sec": 181,
"chunk_end_... | |
There could be a mathematical explanation for how bad your tie is. | 190.12 | 193.87 | [
{
"image_file_range": "sample00191-sample00214",
"saved_chunk_filename": "frame00191.jpg",
"chunk_start_time_sec": 190,
"chunk_end_time_sec": 191
},
{
"image_file_range": "sample00192-sample00215",
"saved_chunk_filename": "frame00192.jpg",
"chunk_start_time_sec": 191,
"chunk_end_... |
193.87 | 199.3 | [
{
"image_file_range": "sample00194-sample00217",
"saved_chunk_filename": "frame00194.jpg",
"chunk_start_time_sec": 193,
"chunk_end_time_sec": 194
},
{
"image_file_range": "sample00195-sample00218",
"saved_chunk_filename": "frame00195.jpg",
"chunk_start_time_sec": 194,
"chunk_end_... | |
Thank you. | 199.3 | 200.84 | [
{
"image_file_range": "sample00200-sample00223",
"saved_chunk_filename": "frame00200.jpg",
"chunk_start_time_sec": 199,
"chunk_end_time_sec": 200
},
{
"image_file_range": "sample00201-sample00224",
"saved_chunk_filename": "frame00201.jpg",
"chunk_start_time_sec": 200,
"chunk_end_... |
200.84 | 202.26 | [
{
"image_file_range": "sample00201-sample00224",
"saved_chunk_filename": "frame00201.jpg",
"chunk_start_time_sec": 200,
"chunk_end_time_sec": 201
},
{
"image_file_range": "sample00202-sample00225",
"saved_chunk_filename": "frame00202.jpg",
"chunk_start_time_sec": 201,
"chunk_end_... | |
Neilson, symbol cryptography. | 202.26 | 203.97 | [
{
"image_file_range": "sample00203-sample00226",
"saved_chunk_filename": "frame00203.jpg",
"chunk_start_time_sec": 202,
"chunk_end_time_sec": 203
},
{
"image_file_range": "sample00204-sample00227",
"saved_chunk_filename": "frame00204.jpg",
"chunk_start_time_sec": 203,
"chunk_end_... |
203.97 | 204.05 | [
{
"image_file_range": "sample00204-sample00227",
"saved_chunk_filename": "frame00204.jpg",
"chunk_start_time_sec": 203,
"chunk_end_time_sec": 204
},
{
"image_file_range": "sample00205-sample00228",
"saved_chunk_filename": "frame00205.jpg",
"chunk_start_time_sec": 204,
"chunk_end_... | |
Neils here broke a Jap code. Helped rid the world of Fascism. | 204.05 | 207.1 | [
{
"image_file_range": "sample00205-sample00228",
"saved_chunk_filename": "frame00205.jpg",
"chunk_start_time_sec": 204,
"chunk_end_time_sec": 205
},
{
"image_file_range": "sample00206-sample00229",
"saved_chunk_filename": "frame00206.jpg",
"chunk_start_time_sec": 205,
"chunk_end_... |
207.1 | 207.18 | [
{
"image_file_range": "sample00208-sample00231",
"saved_chunk_filename": "frame00208.jpg",
"chunk_start_time_sec": 207,
"chunk_end_time_sec": 208
}
] | |
At least that's what he tells the girls, eh, Neils? | 207.18 | 210.18 | [
{
"image_file_range": "sample00208-sample00231",
"saved_chunk_filename": "frame00208.jpg",
"chunk_start_time_sec": 207,
"chunk_end_time_sec": 208
},
{
"image_file_range": "sample00209-sample00232",
"saved_chunk_filename": "frame00209.jpg",
"chunk_start_time_sec": 208,
"chunk_end_... |
210.18 | 210.35 | [
{
"image_file_range": "sample00211-sample00234",
"saved_chunk_filename": "frame00211.jpg",
"chunk_start_time_sec": 210,
"chunk_end_time_sec": 211
}
] | |
The name's Bender. Atomic physics. | 210.35 | 212.44 | [
{
"image_file_range": "sample00211-sample00234",
"saved_chunk_filename": "frame00211.jpg",
"chunk_start_time_sec": 210,
"chunk_end_time_sec": 211
},
{
"image_file_range": "sample00212-sample00235",
"saved_chunk_filename": "frame00212.jpg",
"chunk_start_time_sec": 211,
"chunk_end_... |
212.44 | 212.52 | [
{
"image_file_range": "sample00213-sample00236",
"saved_chunk_filename": "frame00213.jpg",
"chunk_start_time_sec": 212,
"chunk_end_time_sec": 213
}
] | |
- And you are? - Am I late? | 212.52 | 214.56 | [
{
"image_file_range": "sample00213-sample00236",
"saved_chunk_filename": "frame00213.jpg",
"chunk_start_time_sec": 212,
"chunk_end_time_sec": 213
},
{
"image_file_range": "sample00214-sample00237",
"saved_chunk_filename": "frame00214.jpg",
"chunk_start_time_sec": 213,
"chunk_end_... |
214.56 | 214.65 | [
{
"image_file_range": "sample00215-sample00238",
"saved_chunk_filename": "frame00215.jpg",
"chunk_start_time_sec": 214,
"chunk_end_time_sec": 215
}
] | |
- Yes, Mr. Sol. - Oh, good. Hi. | 214.65 | 217.57 | [
{
"image_file_range": "sample00215-sample00238",
"saved_chunk_filename": "frame00215.jpg",
"chunk_start_time_sec": 214,
"chunk_end_time_sec": 215
},
{
"image_file_range": "sample00216-sample00239",
"saved_chunk_filename": "frame00216.jpg",
"chunk_start_time_sec": 215,
"chunk_end_... |
217.57 | 218.44 | [
{
"image_file_range": "sample00218-sample00241",
"saved_chunk_filename": "frame00218.jpg",
"chunk_start_time_sec": 217,
"chunk_end_time_sec": 218
},
{
"image_file_range": "sample00219-sample00242",
"saved_chunk_filename": "frame00219.jpg",
"chunk_start_time_sec": 218,
"chunk_end_... | |
- Sol. Richard Sol. - The burden of genius. | 218.44 | 221.11 | [
{
"image_file_range": "sample00219-sample00242",
"saved_chunk_filename": "frame00219.jpg",
"chunk_start_time_sec": 218,
"chunk_end_time_sec": 219
},
{
"image_file_range": "sample00220-sample00243",
"saved_chunk_filename": "frame00220.jpg",
"chunk_start_time_sec": 219,
"chunk_end_... |
221.11 | 221.19 | [
{
"image_file_range": "sample00222-sample00245",
"saved_chunk_filename": "frame00222.jpg",
"chunk_start_time_sec": 221,
"chunk_end_time_sec": 222
}
] | |
- There he is. - So many supplicants, and so little time. | 221.19 | 223.57 | [
{
"image_file_range": "sample00222-sample00245",
"saved_chunk_filename": "frame00222.jpg",
"chunk_start_time_sec": 221,
"chunk_end_time_sec": 222
},
{
"image_file_range": "sample00223-sample00246",
"saved_chunk_filename": "frame00223.jpg",
"chunk_start_time_sec": 222,
"chunk_end_... |
223.57 | 223.61 | [
{
"image_file_range": "sample00224-sample00247",
"saved_chunk_filename": "frame00224.jpg",
"chunk_start_time_sec": 223,
"chunk_end_time_sec": 224
}
] | |
- Mr. Sol. - How are you, sir? | 223.61 | 225.28 | [
{
"image_file_range": "sample00224-sample00247",
"saved_chunk_filename": "frame00224.jpg",
"chunk_start_time_sec": 223,
"chunk_end_time_sec": 224
},
{
"image_file_range": "sample00225-sample00248",
"saved_chunk_filename": "frame00225.jpg",
"chunk_start_time_sec": 224,
"chunk_end_... |
225.28 | 225.37 | [
{
"image_file_range": "sample00226-sample00249",
"saved_chunk_filename": "frame00226.jpg",
"chunk_start_time_sec": 225,
"chunk_end_time_sec": 226
}
] | |
- Bender. - Nice to see you. | 225.37 | 227.08 | [
{
"image_file_range": "sample00226-sample00249",
"saved_chunk_filename": "frame00226.jpg",
"chunk_start_time_sec": 225,
"chunk_end_time_sec": 226
},
{
"image_file_range": "sample00227-sample00250",
"saved_chunk_filename": "frame00227.jpg",
"chunk_start_time_sec": 226,
"chunk_end_... |
227.08 | 227.16 | [
{
"image_file_range": "sample00228-sample00251",
"saved_chunk_filename": "frame00228.jpg",
"chunk_start_time_sec": 227,
"chunk_end_time_sec": 228
}
] | |
- Congratulations, Mr. Hansen. - Thank you. | 227.16 | 229.91 | [
{
"image_file_range": "sample00228-sample00251",
"saved_chunk_filename": "frame00228.jpg",
"chunk_start_time_sec": 227,
"chunk_end_time_sec": 228
},
{
"image_file_range": "sample00229-sample00252",
"saved_chunk_filename": "frame00229.jpg",
"chunk_start_time_sec": 228,
"chunk_end_... |
229.91 | 230.04 | [
{
"image_file_range": "sample00230-sample00253",
"saved_chunk_filename": "frame00230.jpg",
"chunk_start_time_sec": 229,
"chunk_end_time_sec": 230
},
{
"image_file_range": "sample00231-sample00254",
"saved_chunk_filename": "frame00231.jpg",
"chunk_start_time_sec": 230,
"chunk_end_... | |
I'll take another. | 230.04 | 231.75 | [
{
"image_file_range": "sample00231-sample00254",
"saved_chunk_filename": "frame00231.jpg",
"chunk_start_time_sec": 230,
"chunk_end_time_sec": 231
},
{
"image_file_range": "sample00232-sample00255",
"saved_chunk_filename": "frame00232.jpg",
"chunk_start_time_sec": 231,
"chunk_end_... |
231.75 | 233 | [
{
"image_file_range": "sample00232-sample00255",
"saved_chunk_filename": "frame00232.jpg",
"chunk_start_time_sec": 231,
"chunk_end_time_sec": 232
},
{
"image_file_range": "sample00233-sample00256",
"saved_chunk_filename": "frame00233.jpg",
"chunk_start_time_sec": 232,
"chunk_end_... | |
Excuse me? | 233 | 234.12 | [
{
"image_file_range": "sample00234-sample00257",
"saved_chunk_filename": "frame00234.jpg",
"chunk_start_time_sec": 233,
"chunk_end_time_sec": 234
},
{
"image_file_range": "sample00235-sample00258",
"saved_chunk_filename": "frame00235.jpg",
"chunk_start_time_sec": 234,
"chunk_end_... |
234.12 | 234.21 | [
{
"image_file_range": "sample00235-sample00258",
"saved_chunk_filename": "frame00235.jpg",
"chunk_start_time_sec": 234,
"chunk_end_time_sec": 235
}
] | |
Pardon me. I assumed you were the waiter. | 234.21 | 236.46 | [
{
"image_file_range": "sample00235-sample00258",
"saved_chunk_filename": "frame00235.jpg",
"chunk_start_time_sec": 234,
"chunk_end_time_sec": 235
},
{
"image_file_range": "sample00236-sample00259",
"saved_chunk_filename": "frame00236.jpg",
"chunk_start_time_sec": 235,
"chunk_end_... |
236.46 | 236.54 | [
{
"image_file_range": "sample00237-sample00260",
"saved_chunk_filename": "frame00237.jpg",
"chunk_start_time_sec": 236,
"chunk_end_time_sec": 237
}
] | |
- Play nice. - Nice is not Hansen's strong suit. | 236.54 | 239.21 | [
{
"image_file_range": "sample00237-sample00260",
"saved_chunk_filename": "frame00237.jpg",
"chunk_start_time_sec": 236,
"chunk_end_time_sec": 237
},
{
"image_file_range": "sample00238-sample00261",
"saved_chunk_filename": "frame00238.jpg",
"chunk_start_time_sec": 237,
"chunk_end_... |
239.21 | 239.3 | [
{
"image_file_range": "sample00240-sample00263",
"saved_chunk_filename": "frame00240.jpg",
"chunk_start_time_sec": 239,
"chunk_end_time_sec": 240
}
] | |
Honest mistake. | 239.3 | 240.63 | [
{
"image_file_range": "sample00240-sample00263",
"saved_chunk_filename": "frame00240.jpg",
"chunk_start_time_sec": 239,
"chunk_end_time_sec": 240
},
{
"image_file_range": "sample00241-sample00264",
"saved_chunk_filename": "frame00241.jpg",
"chunk_start_time_sec": 240,
"chunk_end_... |
240.63 | 240.71 | [
{
"image_file_range": "sample00241-sample00264",
"saved_chunk_filename": "frame00241.jpg",
"chunk_start_time_sec": 240,
"chunk_end_time_sec": 241
}
] | |
Well, Martin Hansen. | 240.71 | 242.67 | [
{
"image_file_range": "sample00241-sample00264",
"saved_chunk_filename": "frame00241.jpg",
"chunk_start_time_sec": 240,
"chunk_end_time_sec": 241
},
{
"image_file_range": "sample00242-sample00265",
"saved_chunk_filename": "frame00242.jpg",
"chunk_start_time_sec": 241,
"chunk_end_... |
242.67 | 243.84 | [
{
"image_file_range": "sample00243-sample00266",
"saved_chunk_filename": "frame00243.jpg",
"chunk_start_time_sec": 242,
"chunk_end_time_sec": 243
},
{
"image_file_range": "sample00244-sample00267",
"saved_chunk_filename": "frame00244.jpg",
"chunk_start_time_sec": 243,
"chunk_end_... | |
It is Martin, isn't it? | 243.84 | 245.55 | [
{
"image_file_range": "sample00244-sample00267",
"saved_chunk_filename": "frame00244.jpg",
"chunk_start_time_sec": 243,
"chunk_end_time_sec": 244
},
{
"image_file_range": "sample00245-sample00268",
"saved_chunk_filename": "frame00245.jpg",
"chunk_start_time_sec": 244,
"chunk_end_... |
245.55 | 245.84 | [
{
"image_file_range": "sample00246-sample00269",
"saved_chunk_filename": "frame00246.jpg",
"chunk_start_time_sec": 245,
"chunk_end_time_sec": 246
}
] | |
Why, yes, John, it is. | 245.84 | 247.72 | [
{
"image_file_range": "sample00246-sample00269",
"saved_chunk_filename": "frame00246.jpg",
"chunk_start_time_sec": 245,
"chunk_end_time_sec": 246
},
{
"image_file_range": "sample00247-sample00270",
"saved_chunk_filename": "frame00247.jpg",
"chunk_start_time_sec": 246,
"chunk_end_... |
247.72 | 247.8 | [
{
"image_file_range": "sample00248-sample00271",
"saved_chunk_filename": "frame00248.jpg",
"chunk_start_time_sec": 247,
"chunk_end_time_sec": 248
}
] | |
I imagine you're getting quite used to miscalculation. | 247.8 | 251.31 | [
{
"image_file_range": "sample00248-sample00271",
"saved_chunk_filename": "frame00248.jpg",
"chunk_start_time_sec": 247,
"chunk_end_time_sec": 248
},
{
"image_file_range": "sample00249-sample00272",
"saved_chunk_filename": "frame00249.jpg",
"chunk_start_time_sec": 248,
"chunk_end_... |
251.31 | 253.77 | [
{
"image_file_range": "sample00252-sample00275",
"saved_chunk_filename": "frame00252.jpg",
"chunk_start_time_sec": 251,
"chunk_end_time_sec": 252
},
{
"image_file_range": "sample00253-sample00276",
"saved_chunk_filename": "frame00253.jpg",
"chunk_start_time_sec": 252,
"chunk_end_... | |
I've read your preprints... | 253.77 | 255.94 | [
{
"image_file_range": "sample00254-sample00277",
"saved_chunk_filename": "frame00254.jpg",
"chunk_start_time_sec": 253,
"chunk_end_time_sec": 254
},
{
"image_file_range": "sample00255-sample00278",
"saved_chunk_filename": "frame00255.jpg",
"chunk_start_time_sec": 254,
"chunk_end_... |
255.94 | 256.02 | [
{
"image_file_range": "sample00256-sample00279",
"saved_chunk_filename": "frame00256.jpg",
"chunk_start_time_sec": 255,
"chunk_end_time_sec": 256
},
{
"image_file_range": "sample00257-sample00280",
"saved_chunk_filename": "frame00257.jpg",
"chunk_start_time_sec": 256,
"chunk_end_... | |
...both of them. | 256.02 | 258.44 | [
{
"image_file_range": "sample00257-sample00280",
"saved_chunk_filename": "frame00257.jpg",
"chunk_start_time_sec": 256,
"chunk_end_time_sec": 257
},
{
"image_file_range": "sample00258-sample00281",
"saved_chunk_filename": "frame00258.jpg",
"chunk_start_time_sec": 257,
"chunk_end_... |
258.44 | 258.52 | [
{
"image_file_range": "sample00259-sample00282",
"saved_chunk_filename": "frame00259.jpg",
"chunk_start_time_sec": 258,
"chunk_end_time_sec": 259
}
] | |
The one on Nazi ciphers... | 258.52 | 260.19 | [
{
"image_file_range": "sample00259-sample00282",
"saved_chunk_filename": "frame00259.jpg",
"chunk_start_time_sec": 258,
"chunk_end_time_sec": 259
},
{
"image_file_range": "sample00260-sample00283",
"saved_chunk_filename": "frame00260.jpg",
"chunk_start_time_sec": 259,
"chunk_end_... |
End of preview.
POVQA Preprocessed Frames and Subtitle-Frame Alignments
This dataset release contains the preprocessed artifacts used by POVQA. It is intended to support research reproducibility without redistributing raw source videos or raw subtitle files.
What is included
- Preprocessed frame bundles for 12 movies and 4 pooling variants
KEY_FRAMESbundles where available- Sanitized subtitle-to-frame alignment JSON files
- Per-movie
run_summary.jsonmetadata - A
manifest.jsonfile describing the staged release
Release Notes
- Total staged size: approximately 5.30 GB
- Total staged files: 133
- Selected source size before packaging: 4.73 GB
- Selected source file count before packaging: 341471
Directory Layout
Each movie has its own subdirectory:
<movie>/
metadata_text_centric.json
metadata_text_centric_blend_blur_with_last_frame.json
metadata_text_centric_weighted_average.json
metadata_text_centric_weighted_average_exponential.json
metadata_text_centric_weighted_average_ramp.json
run_summary.json
KEY_FRAMES.tar
blend_blur_with_last_frame.tar
weighted_average.tar
weighted_average_exponential.tar
weighted_average_ramp.tar
The .tar archives preserve the original folder structure of the preprocessed
release and can be extracted with standard tooling.
Notes on Data Content
- This release contains derived, preprocessed artifacts only.
- Raw videos and raw subtitle files are not included in this dataset repo.
- Subtitle credit / torrent source watermark text was scrubbed from the published metadata JSON files while preserving timing and frame-mapping fields.
Intended Use
This release is intended for:
- reproducibility of POVQA preprocessing outputs
- inspection of frame-selection / pooling outputs
- research on video-question-answering pipelines that consume derived frame data
Responsible Use
Users are responsible for ensuring that their use of this dataset complies with applicable law, platform terms, and any rights associated with the underlying source media in their jurisdiction.
Citation
If you use this dataset, please cite the POVQA paper:
@article{dahal2025povqa,
title = {POVQA: Preference-Optimized Video Question Answering with Rationales for Data Efficiency},
author = {Dahal, Ashim and Ghimire, Ankit and Murad, Saydul Akbar and Rahimi, Nick},
journal = {arXiv preprint arXiv:2510.01009},
year = {2025},
url = {https://arxiv.org/abs/2510.01009}
}
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