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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 ({'error'}) and 18 missing columns ({'rank', 'question_time', 'answer', 'question', 'video_name', 'duration_seconds', 'license_if_known', 'expected_answer_type', 'download_status', 'candidate_notes', 'annotation_notes', 'why_useful', 'download_error', 'local_video_file', 'possible_question_idea', 'status', 'answer_time', 'channel'}).
This happened while the csv dataset builder was generating data using
hf://datasets/GearlessJ333/interaction_test_videos/test_videos/download_failures.csv (at revision ac9f9ec840a145e2bf569035362cc677b8e6ee60), ['hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/counting/counting_001/counting_001.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/counting/counting_002/counting_002.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/counting/counting_003/counting_003.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/counting/counting_004/counting_004.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/counting/counting_005/counting_005.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/counting/counting_006/counting_006.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/counting/counting_007/counting_007.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/distractor_rejection/distractor_rejection_001/distractor_rejection_001.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/distractor_rejection/distractor_rejection_002/distractor_rejection_002.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/distractor_rejection/distractor_rejection_003/distractor_rejection_003.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/download_failures.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/download_manifest.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/event_trigger/event_trigger_001/event_trigger_001.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/event_trigger/event_trigger_002/event_trigger_002.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/event_trigger/event_trigger_003/event_trigger_003.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/event_trigger/event_trigger_004/event_trigger_004.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/event_trigger/event_trigger_005/event_trigger_005.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/event_trigger/event_trigger_007/event_trigger_007.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/event_trigger/event_trigger_008/event_trigger_008.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/negative_silence/negative_silence_001/negative_silence_001.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/negative_silence/negative_silence_002/negative_silence_002.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/negative_silence/negative_silence_004/negative_silence_004.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/negative_silence/negative_silence_005/negative_silence_005.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/negative_silence/negative_silence_006/negative_silence_006.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/negative_silence/negative_silence_007/negative_silence_007.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/negative_silence/negative_silence_008/negative_silence_008.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/proactive_video_qa/proactive_video_qa_001/proactive_video_qa_001.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/proactive_video_qa/proactive_video_qa_002/proactive_video_qa_002.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/proactive_video_qa/proactive_video_qa_003/proactive_video_qa_003.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/proactive_video_qa/proactive_video_qa_004/proactive_video_qa_004.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/proactive_video_qa/proactive_video_qa_006/proactive_video_qa_006.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/proactive_video_qa/proactive_video_qa_007/proactive_video_qa_007.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/proactive_video_qa/proactive_video_qa_008/proactive_video_qa_008.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/start_stop_localization/start_stop_localization_001/start_stop_localization_001.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/start_stop_localization/start_stop_localization_002/start_stop_localization_002.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/start_stop_localization/start_stop_localization_003/start_stop_localization_003.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/start_stop_localization/start_stop_localization_004/start_stop_localization_004.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/start_stop_localization/start_stop_localization_007/start_stop_localization_007.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/start_stop_localization/start_stop_localization_008/start_stop_localization_008.csv']
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 1837, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: null
task_type: null
video_url: null
error: null
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 701
to
{'id': Value('string'), 'rank': Value('int64'), 'task_type': Value('string'), 'video_name': Value('string'), 'video_url': Value('string'), 'duration_seconds': Value('int64'), 'channel': Value('string'), 'license_if_known': Value('string'), 'why_useful': Value('string'), 'possible_question_idea': Value('string'), 'expected_answer_type': Value('string'), 'question_time': Value('string'), 'question': Value('string'), 'answer_time': Value('string'), 'answer': Value('string'), 'candidate_notes': Value('string'), 'annotation_notes': Value('string'), 'status': Value('string'), 'local_video_file': Value('string'), 'download_status': Value('string'), 'download_error': 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 1361, 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 940, 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 1683, 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 1839, 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 1 new columns ({'error'}) and 18 missing columns ({'rank', 'question_time', 'answer', 'question', 'video_name', 'duration_seconds', 'license_if_known', 'expected_answer_type', 'download_status', 'candidate_notes', 'annotation_notes', 'why_useful', 'download_error', 'local_video_file', 'possible_question_idea', 'status', 'answer_time', 'channel'}).
This happened while the csv dataset builder was generating data using
hf://datasets/GearlessJ333/interaction_test_videos/test_videos/download_failures.csv (at revision ac9f9ec840a145e2bf569035362cc677b8e6ee60), ['hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/counting/counting_001/counting_001.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/counting/counting_002/counting_002.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/counting/counting_003/counting_003.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/counting/counting_004/counting_004.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/counting/counting_005/counting_005.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/counting/counting_006/counting_006.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/counting/counting_007/counting_007.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/distractor_rejection/distractor_rejection_001/distractor_rejection_001.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/distractor_rejection/distractor_rejection_002/distractor_rejection_002.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/distractor_rejection/distractor_rejection_003/distractor_rejection_003.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/download_failures.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/download_manifest.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/event_trigger/event_trigger_001/event_trigger_001.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/event_trigger/event_trigger_002/event_trigger_002.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/event_trigger/event_trigger_003/event_trigger_003.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/event_trigger/event_trigger_004/event_trigger_004.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/event_trigger/event_trigger_005/event_trigger_005.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/event_trigger/event_trigger_007/event_trigger_007.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/event_trigger/event_trigger_008/event_trigger_008.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/negative_silence/negative_silence_001/negative_silence_001.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/negative_silence/negative_silence_002/negative_silence_002.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/negative_silence/negative_silence_004/negative_silence_004.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/negative_silence/negative_silence_005/negative_silence_005.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/negative_silence/negative_silence_006/negative_silence_006.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/negative_silence/negative_silence_007/negative_silence_007.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/negative_silence/negative_silence_008/negative_silence_008.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/proactive_video_qa/proactive_video_qa_001/proactive_video_qa_001.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/proactive_video_qa/proactive_video_qa_002/proactive_video_qa_002.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/proactive_video_qa/proactive_video_qa_003/proactive_video_qa_003.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/proactive_video_qa/proactive_video_qa_004/proactive_video_qa_004.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/proactive_video_qa/proactive_video_qa_006/proactive_video_qa_006.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/proactive_video_qa/proactive_video_qa_007/proactive_video_qa_007.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/proactive_video_qa/proactive_video_qa_008/proactive_video_qa_008.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/start_stop_localization/start_stop_localization_001/start_stop_localization_001.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/start_stop_localization/start_stop_localization_002/start_stop_localization_002.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/start_stop_localization/start_stop_localization_003/start_stop_localization_003.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/start_stop_localization/start_stop_localization_004/start_stop_localization_004.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/start_stop_localization/start_stop_localization_007/start_stop_localization_007.csv', 'hf://datasets/GearlessJ333/interaction_test_videos@ac9f9ec840a145e2bf569035362cc677b8e6ee60/test_videos/start_stop_localization/start_stop_localization_008/start_stop_localization_008.csv']
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.
id string | rank int64 | task_type string | video_name string | video_url string | duration_seconds int64 | channel string | license_if_known string | why_useful string | possible_question_idea string | expected_answer_type string | question_time string | question string | answer_time string | answer string | candidate_notes string | annotation_notes string | status string | local_video_file string | download_status string | download_error null |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
counting_001 | 1 | counting | Jumping Jacks | https://www.youtube.com/watch?v=c4DAnQ6DtF8 | 31 | FitnessBlender | UNKNOWN | Short exercise demonstration with repeated full-body actions that are easy to count visually. | Count how many jumping jacks are completed. | count | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review should decide whether to count complete repetitions only. | TO_FILL_MANUALLY | candidate | test_videos/counting/counting_001/counting_001.mp4 | already_exists | null |
counting_002 | 2 | counting | Exercise Tutorial - Squat | https://www.youtube.com/watch?v=xqvCmoLULNY | 49 | XHIT Daily | UNKNOWN | Repeated squat motion with a clear up/down cycle. | Count how many squats are completed. | count | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Use complete squat cycles; ignore setup or explanation frames if present. | TO_FILL_MANUALLY | candidate | test_videos/counting/counting_002/counting_002.mp4 | already_exists | null |
counting_003 | 3 | counting | How to do a Push-Up | Proper Form & Technique | NASM | https://www.youtube.com/watch?v=WDIpL0pjun0 | 14 | National Academy of Sports Medicine (NASM) | UNKNOWN | Very short exercise form clip that can be used for low-count repetition tracking. | Count how many push-ups are completed. | count | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | May contain only a small number of repetitions; keep if the count is visually clear. | TO_FILL_MANUALLY | candidate | test_videos/counting/counting_003/counting_003.mp4 | already_exists | null |
counting_004 | 4 | counting | How to do a Jumping Jack | Proper Form & Technique | NASM | https://www.youtube.com/watch?v=uLVt6u15L98 | 14 | National Academy of Sports Medicine (NASM) | UNKNOWN | Clean exercise demonstration with repeated visible jumping-jack cycles. | Count each completed jumping jack as it happens. | count | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Short but high-quality; count only complete repetitions. | TO_FILL_MANUALLY | candidate | test_videos/counting/counting_004/counting_004.mp4 | already_exists | null |
counting_005 | 5 | counting | Jumping Jacks - XFit Daily | https://www.youtube.com/watch?v=iSSAk4XCsRA | 45 | XHIT Daily | UNKNOWN | Real fitness demonstration with enough repeated actions for a useful count task. | Count how many jumping jacks are completed. | count | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Good backup to the existing jumping-jack candidate; manually confirm there are no cuts that disrupt counting. | TO_FILL_MANUALLY | candidate | test_videos/counting/counting_005/counting_005.mp4 | already_exists | null |
counting_006 | 6 | counting | Leg exercise - How to bodyweight squat | https://www.youtube.com/watch?v=l83R5PblSMA | 17 | PureGym | UNKNOWN | Short real exercise demo with visible squat repetitions. | Count how many bodyweight squats are completed. | count | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Use full down-and-up cycles only. | TO_FILL_MANUALLY | candidate | test_videos/counting/counting_006/counting_006.mp4 | already_exists | null |
counting_007 | 7 | counting | How to Perform the Med Ball Slam | https://www.youtube.com/watch?v=QxYhFwMd1Ks | 43 | CORE Strong Fitness | UNKNOWN | Repeated medicine-ball slam action provides a clear countable event. | Count each medicine-ball slam as it happens. | count | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review should decide whether to count ball release, floor impact, or completed recovery. | TO_FILL_MANUALLY | candidate | test_videos/counting/counting_007/counting_007.mp4 | already_exists | null |
distractor_rejection_001 | 1 | distractor_rejection | Sorting by Colors | https://www.youtube.com/watch?v=nDlrtW0GmAU | 62 | Teach for Life | UNKNOWN | Retained color-sorting candidate with visually similar non-target sorting events before the exact target color. | I'm looking for the yellow item. Let me know when that one is sorted. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Retained from the previous set because the user kept this video; manually verify target color and preceding distractors. | TO_FILL_MANUALLY | candidate | test_videos/distractor_rejection/distractor_rejection_001/distractor_rejection_001.mp4 | already_exists | null |
distractor_rejection_002 | 2 | distractor_rejection | selective attention test | https://www.youtube.com/watch?v=vJG698U2Mvo | 82 | Daniel Simons | UNKNOWN | People move and pass balls before a target in a gorilla suit appears, creating strong moving-person distractors. | Let me know when the person in the gorilla suit walks through the scene. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Longer than preferred, but highly representative. Use the early segment where players pass balls and the gorilla enters; manually set the exact timestamp. | TO_FILL_MANUALLY | candidate | test_videos/distractor_rejection/distractor_rejection_002/distractor_rejection_002.mp4 | already_exists | null |
distractor_rejection_003 | 3 | distractor_rejection | Cars in Highway Traffic (FREE STOCK VIDEO) | https://www.youtube.com/watch?v=zOq2XdwHGT0 | 61 | Free Stock Videos | UNKNOWN | Many cars pass through the frame before the target red car appears in traffic, testing rejection of non-red vehicle distractors. | Let me know when the red car appears in the traffic. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Sampled frames show a red car in traffic around the middle of the clip; manually confirm the first target timestamp. | TO_FILL_MANUALLY | candidate | test_videos/distractor_rejection/distractor_rejection_003/distractor_rejection_003.mp4 | already_exists | null |
counting_001 | 1 | counting | Jumping Jacks | https://www.youtube.com/watch?v=c4DAnQ6DtF8 | 31 | FitnessBlender | UNKNOWN | Short exercise demonstration with repeated full-body actions that are easy to count visually. | Count how many jumping jacks are completed. | count | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review should decide whether to count complete repetitions only. | TO_FILL_MANUALLY | candidate | test_videos/counting/counting_001/counting_001.mp4 | already_exists | null |
counting_002 | 2 | counting | Exercise Tutorial - Squat | https://www.youtube.com/watch?v=xqvCmoLULNY | 49 | XHIT Daily | UNKNOWN | Repeated squat motion with a clear up/down cycle. | Count how many squats are completed. | count | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Use complete squat cycles; ignore setup or explanation frames if present. | TO_FILL_MANUALLY | candidate | test_videos/counting/counting_002/counting_002.mp4 | already_exists | null |
counting_003 | 3 | counting | How to do a Push-Up | Proper Form & Technique | NASM | https://www.youtube.com/watch?v=WDIpL0pjun0 | 14 | National Academy of Sports Medicine (NASM) | UNKNOWN | Very short exercise form clip that can be used for low-count repetition tracking. | Count how many push-ups are completed. | count | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | May contain only a small number of repetitions; keep if the count is visually clear. | TO_FILL_MANUALLY | candidate | test_videos/counting/counting_003/counting_003.mp4 | already_exists | null |
counting_004 | 4 | counting | How to do a Jumping Jack | Proper Form & Technique | NASM | https://www.youtube.com/watch?v=uLVt6u15L98 | 14 | National Academy of Sports Medicine (NASM) | UNKNOWN | Clean exercise demonstration with repeated visible jumping-jack cycles. | Count each completed jumping jack as it happens. | count | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Short but high-quality; count only complete repetitions. | TO_FILL_MANUALLY | candidate | test_videos/counting/counting_004/counting_004.mp4 | already_exists | null |
counting_005 | 5 | counting | Jumping Jacks - XFit Daily | https://www.youtube.com/watch?v=iSSAk4XCsRA | 45 | XHIT Daily | UNKNOWN | Real fitness demonstration with enough repeated actions for a useful count task. | Count how many jumping jacks are completed. | count | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Good backup to the existing jumping-jack candidate; manually confirm there are no cuts that disrupt counting. | TO_FILL_MANUALLY | candidate | test_videos/counting/counting_005/counting_005.mp4 | already_exists | null |
counting_006 | 6 | counting | Leg exercise - How to bodyweight squat | https://www.youtube.com/watch?v=l83R5PblSMA | 17 | PureGym | UNKNOWN | Short real exercise demo with visible squat repetitions. | Count how many bodyweight squats are completed. | count | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Use full down-and-up cycles only. | TO_FILL_MANUALLY | candidate | test_videos/counting/counting_006/counting_006.mp4 | already_exists | null |
counting_007 | 7 | counting | How to Perform the Med Ball Slam | https://www.youtube.com/watch?v=QxYhFwMd1Ks | 43 | CORE Strong Fitness | UNKNOWN | Repeated medicine-ball slam action provides a clear countable event. | Count each medicine-ball slam as it happens. | count | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review should decide whether to count ball release, floor impact, or completed recovery. | TO_FILL_MANUALLY | candidate | test_videos/counting/counting_007/counting_007.mp4 | already_exists | null |
distractor_rejection_001 | 1 | distractor_rejection | Sorting by Colors | https://www.youtube.com/watch?v=nDlrtW0GmAU | 62 | Teach for Life | UNKNOWN | Retained color-sorting candidate with visually similar non-target sorting events before the exact target color. | I'm looking for the yellow item. Let me know when that one is sorted. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Retained from the previous set because the user kept this video; manually verify target color and preceding distractors. | TO_FILL_MANUALLY | candidate | test_videos/distractor_rejection/distractor_rejection_001/distractor_rejection_001.mp4 | already_exists | null |
distractor_rejection_002 | 2 | distractor_rejection | selective attention test | https://www.youtube.com/watch?v=vJG698U2Mvo | 82 | Daniel Simons | UNKNOWN | People move and pass balls before a target in a gorilla suit appears, creating strong moving-person distractors. | Let me know when the person in the gorilla suit walks through the scene. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Longer than preferred, but highly representative. Use the early segment where players pass balls and the gorilla enters; manually set the exact timestamp. | TO_FILL_MANUALLY | candidate | test_videos/distractor_rejection/distractor_rejection_002/distractor_rejection_002.mp4 | already_exists | null |
distractor_rejection_003 | 3 | distractor_rejection | Cars in Highway Traffic (FREE STOCK VIDEO) | https://www.youtube.com/watch?v=zOq2XdwHGT0 | 61 | Free Stock Videos | UNKNOWN | Many cars pass through the frame before the target red car appears in traffic, testing rejection of non-red vehicle distractors. | Let me know when the red car appears in the traffic. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Sampled frames show a red car in traffic around the middle of the clip; manually confirm the first target timestamp. | TO_FILL_MANUALLY | candidate | test_videos/distractor_rejection/distractor_rejection_003/distractor_rejection_003.mp4 | already_exists | null |
event_trigger_001 | 1 | event_trigger | Sailor the Touchdown Dog Sets Record for the Longest Catch at a Live Sporting Event | https://www.youtube.com/watch?v=ApHFw4ueyP8 | 28 | Frisbee Rob | UNKNOWN | Short clip centered on a dog catching an object, with a clear trigger moment. | Tell me when the dog catches the disc or ball. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review should decide exact wording after checking whether the caught object is best described as a disc, frisbee, or ball. | TO_FILL_MANUALLY | candidate | test_videos/event_trigger/event_trigger_001/event_trigger_001.mp4 | already_exists | null |
event_trigger_002 | 2 | event_trigger | Cat Jumps on Kitchen Counter and Gets Spooked by Tin Foil - 1321554 | https://www.youtube.com/watch?v=ksEyPjifCK4 | 38 | RM Videos | UNKNOWN | Clear animal jump event with a visible before-event period. | Alert me when the cat jumps onto the counter. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Use the jump/contact moment as the likely answer timestamp after manual review. | TO_FILL_MANUALLY | candidate | test_videos/event_trigger/event_trigger_002/event_trigger_002.mp4 | already_exists | null |
event_trigger_003 | 3 | event_trigger | ROYALTY FREE VIDEO FOOTAGE : Traffic Lights Green Amber Red NO FEE | https://www.youtube.com/watch?v=1gUiaLlYBJ0 | 47 | Royalty FREE Videos. Music and Sound Effects | UNKNOWN | Traffic signal color changes are visually discrete and easy to timestamp. | Say something when the traffic light turns green. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Verify the light sequence and choose the relevant green-change timestamp manually. | TO_FILL_MANUALLY | candidate | test_videos/event_trigger/event_trigger_003/event_trigger_003.mp4 | already_exists | null |
event_trigger_004 | 4 | event_trigger | Dog catching frisbee in slow motion | https://www.youtube.com/watch?v=6QKO57pxbKo | 18 | Cody Gleason | UNKNOWN | Real slow-motion footage makes the catch moment easy to timestamp. | Alert me exactly when the dog catches the frisbee. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Strong event-trigger candidate; use first contact/catch frame as the target after manual review. | TO_FILL_MANUALLY | candidate | test_videos/event_trigger/event_trigger_004/event_trigger_004.mp4 | already_exists | null |
event_trigger_005 | 5 | event_trigger | Dog catching ball in slow motion - No copyright | https://www.youtube.com/watch?v=o_C7ZLSA3is | 18 | Slow Motion no Copyright | UNKNOWN | Real slow-motion dog catch with a clear pre-event interval. | Alert me when the dog catches the ball. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Check whether the ball is cleanly caught rather than merely contacted. | TO_FILL_MANUALLY | candidate | test_videos/event_trigger/event_trigger_005/event_trigger_005.mp4 | already_exists | null |
event_trigger_007 | 7 | event_trigger | Free 4K Royalty-Free Stock Video: Road crossing traffic pedestrian green light | https://www.youtube.com/watch?v=UQmdD-4ydmA | 42 | Stockingham Royalty-Free | UNKNOWN | Pedestrian signal state is a clear visual trigger with no audio dependence. | Alert me when the pedestrian signal shows green/walk. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Useful if the red-to-green transition is visible; otherwise use as a state-detection trigger. | TO_FILL_MANUALLY | candidate | test_videos/event_trigger/event_trigger_007/event_trigger_007.mp4 | already_exists | null |
event_trigger_008 | 8 | event_trigger | 60fps Slo-Mo cat jumps onto counter | https://www.youtube.com/watch?v=TpPzbMPXswE | 13 | Benjamin Cameron Hunt | UNKNOWN | Short real slow-motion clip with a clear jump and landing event. | Tell me when the cat jumps onto the counter. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Use the landing/contact moment as the likely trigger timestamp. | TO_FILL_MANUALLY | candidate | test_videos/event_trigger/event_trigger_008/event_trigger_008.mp4 | already_exists | null |
negative_silence_001 | 1 | negative_silence | Man Sitting At Table Stock Video | https://www.youtube.com/watch?v=9j1IezddqRc | 25 | Motion Array | UNKNOWN | Static table scene candidate where a specified object pickup can be absent. | Tell me when the person picks up a red cup. | silence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review must confirm the target event never occurs. | TO_FILL_MANUALLY | candidate | test_videos/negative_silence/negative_silence_001/negative_silence_001.mp4 | already_exists | null |
negative_silence_002 | 2 | negative_silence | Man Sitting On a Bench - Free Stock Creative Commons Video | https://www.youtube.com/watch?v=zOI3H7ZpVxc | 15 | Freestocks | UNKNOWN | Simple seated-person clip suitable for a no-standing or no-entry target condition. | Alert me when the person stands up. | silence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review must confirm the person remains seated for the usable segment. | TO_FILL_MANUALLY | candidate | test_videos/negative_silence/negative_silence_002/negative_silence_002.mp4 | already_exists | null |
negative_silence_004 | 4 | negative_silence | Exhausted Office Worker Sitting at His Desk | Stock Footage - Videohive | https://www.youtube.com/watch?v=B_KZGdWrEAE | 15 | Stock City | UNKNOWN | Real static office scene suitable for absent action targets. | Stay silent unless the office worker stands up. | silence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review must confirm no stand-up event occurs. | TO_FILL_MANUALLY | candidate | test_videos/negative_silence/negative_silence_004/negative_silence_004.mp4 | already_exists | null |
negative_silence_005 | 5 | negative_silence | A Man Reading A Book - Stock Video Free To Use HD 4K | https://www.youtube.com/watch?v=42Kq5Xb7KeQ | 11 | Free Stock Videos | UNKNOWN | Simple real footage with a person focused on reading, suitable for a no-object-pickup target. | Tell me when the man closes the book. | silence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review must confirm the target event never occurs in the usable segment. | TO_FILL_MANUALLY | candidate | test_videos/negative_silence/negative_silence_005/negative_silence_005.mp4 | already_exists | null |
negative_silence_006 | 6 | negative_silence | Woman Sitting At A Table Stock Video | https://www.youtube.com/watch?v=3wQG-oh50tA | 11 | Motion Array | UNKNOWN | Real seated table scene with few distractions, useful for false-alarm testing. | Alert me when the woman picks up a red cup. | silence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review must confirm no matching red-cup pickup occurs. | TO_FILL_MANUALLY | candidate | test_videos/negative_silence/negative_silence_006/negative_silence_006.mp4 | already_exists | null |
negative_silence_007 | 7 | negative_silence | 4K- A man sitting on a sofa and working on an iPad II Stock | https://www.youtube.com/watch?v=s32Dkacb0AM | 33 | RF Stocks | UNKNOWN | Real indoor scene suitable for an absent standing or object-transfer event. | Tell me when the man stands up from the sofa. | silence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review must verify the person remains seated throughout the chosen segment. | TO_FILL_MANUALLY | candidate | test_videos/negative_silence/negative_silence_007/negative_silence_007.mp4 | already_exists | null |
negative_silence_008 | 8 | negative_silence | Corridor - Free Footage | https://www.youtube.com/watch?v=eNwFcBU1XaQ | 21 | Free Stock Footage | UNKNOWN | Empty corridor footage can test silence for an event that never appears. | Alert me when a person enters the corridor. | silence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review must confirm the corridor stays empty. | TO_FILL_MANUALLY | candidate | test_videos/negative_silence/negative_silence_008/negative_silence_008.mp4 | already_exists | null |
proactive_video_qa_001 | 1 | proactive_video_qa | Animation Reference | Physicality Shot | Pick up a heavy object | 3D Animation | Animation Mentor | https://www.youtube.com/watch?v=nmp61uXbzUo | 22 | Mona Tajiki | UNKNOWN | Short focused pickup action with little scene clutter. | Stay quiet until the pickup is clear; what object does the person pick up? | object name | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review should mark when the target object becomes visually identifiable. | TO_FILL_MANUALLY | candidate | test_videos/proactive_video_qa/proactive_video_qa_001/proactive_video_qa_001.mp4 | already_exists | null |
proactive_video_qa_002 | 2 | proactive_video_qa | Character picking up an object animation | https://www.youtube.com/watch?v=HSTRptvTBUo | 14 | MeBMan | UNKNOWN | Very compact clip centered on one character-object interaction. | Stay quiet until the pickup is clear; what does the character pick up? | object name | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Short animation candidate; verify whether the object identity is clear enough. | TO_FILL_MANUALLY | candidate | test_videos/proactive_video_qa/proactive_video_qa_002/proactive_video_qa_002.mp4 | already_exists | null |
proactive_video_qa_003 | 3 | proactive_video_qa | Pouring Milk Into Bowl Stock Video | https://www.youtube.com/watch?v=hmzRvXMXn34 | 30 | Motion Array | UNKNOWN | Simple single action where the relevant liquid becomes clear during the clip. | Stay quiet until the pouring starts; what liquid is poured into the bowl? | liquid type | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Good candidate for delayed visual evidence; final timestamp should be set when the liquid is visually clear. | TO_FILL_MANUALLY | candidate | test_videos/proactive_video_qa/proactive_video_qa_003/proactive_video_qa_003.mp4 | already_exists | null |
proactive_video_qa_004 | 4 | proactive_video_qa | Young happy couple opening cardboard box after relocation and looking inside and taking cup in new | https://www.youtube.com/watch?v=sd-rRuSWFZI | 17 | Mediame | UNKNOWN | Real footage with a box-opening reveal and a clear object interaction. | Stay quiet until something is taken from the box; what object do they take out? | object name | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Better representative alternative to animation-style pickup clips; manually verify the revealed object. | TO_FILL_MANUALLY | candidate | test_videos/proactive_video_qa/proactive_video_qa_004/proactive_video_qa_004.mp4 | already_exists | null |
proactive_video_qa_006 | 6 | proactive_video_qa | Free Stock Footage | Pouring Coffee Into A Cup | No Copyright | Free Royalty Videos HD | https://www.youtube.com/watch?v=n0NtsPAeKLI | 24 | Free Stock Footage | UNKNOWN | Clear real footage where the relevant liquid becomes evident during pouring. | Stay quiet until the liquid is visible; what is poured into the cup? | liquid type | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Good timing candidate because the visual evidence appears at the pour. | TO_FILL_MANUALLY | candidate | test_videos/proactive_video_qa/proactive_video_qa_006/proactive_video_qa_006.mp4 | already_exists | null |
proactive_video_qa_007 | 7 | proactive_video_qa | Pouring Water in Drinking Glass - Free Stock Creative Commons Video | https://www.youtube.com/watch?v=k-L-pIp-ruo | 16 | Freestocks | UNKNOWN | Simple real stock footage with a single delayed visual answer. | Stay quiet until the pouring begins; what is being poured into the glass? | liquid type | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Short and visually clean; final timestamp should be the first clear pour frame. | TO_FILL_MANUALLY | candidate | test_videos/proactive_video_qa/proactive_video_qa_007/proactive_video_qa_007.mp4 | already_exists | null |
proactive_video_qa_008 | 8 | proactive_video_qa | Pouring Flour Into Bowl Stock Video | https://www.youtube.com/watch?v=LZBTnWv2tZM | 36 | Motion Array | UNKNOWN | Cooking-prep footage where the ingredient becomes clear when added to the bowl. | Stay quiet until the ingredient is visible; what is poured into the bowl? | ingredient name | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review should confirm flour is visually distinguishable without relying on title. | TO_FILL_MANUALLY | candidate | test_videos/proactive_video_qa/proactive_video_qa_008/proactive_video_qa_008.mp4 | already_exists | null |
start_stop_localization_001 | 1 | start_stop_localization | Sit to Stand | https://www.youtube.com/watch?v=ITv-_BkcrD0 | 44 | Baptist Health | UNKNOWN | Demonstration clip with a clear standing action suitable for start and stop timestamps. | Say start when the person begins standing from the chair, and stop when fully standing. | start/stop | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review should choose one repetition or define whether all repetitions should be marked. | TO_FILL_MANUALLY | candidate | test_videos/start_stop_localization/start_stop_localization_001/start_stop_localization_001.mp4 | already_exists | null |
start_stop_localization_002 | 2 | start_stop_localization | Sit to stand | https://www.youtube.com/watch?v=Dg20pIkkzh8 | 17 | NHS University Hospitals Plymouth Physiotherapy | UNKNOWN | Short clinical exercise demonstration with a clear begin/end action boundary. | Say start when the person starts standing up, and stop when they are upright. | start/stop | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Likely best for a single start-stop action; verify full seated-to-standing interval. | TO_FILL_MANUALLY | candidate | test_videos/start_stop_localization/start_stop_localization_002/start_stop_localization_002.mp4 | already_exists | null |
start_stop_localization_003 | 3 | start_stop_localization | Maya animation walk, run & stop test - side shot | https://www.youtube.com/watch?v=xPUYw3JMqvU | 8 | Ollie Thomas | UNKNOWN | Compact animation test explicitly includes a run and stop transition. | Say start when the character begins running, and stop when the run ends. | start/stop | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Shorter than preferred; keep only if manual review confirms visible start and stop moments. | TO_FILL_MANUALLY | candidate | test_videos/start_stop_localization/start_stop_localization_003/start_stop_localization_003.mp4 | already_exists | null |
start_stop_localization_004 | 4 | start_stop_localization | The sit-to-stand test | https://www.youtube.com/watch?v=1tdtHWURId0 | 41 | Montreal Gazette | UNKNOWN | Real demonstration with repeated sit-to-stand boundaries that are easy to inspect. | Say start when the person begins standing up, and stop when they are fully standing. | start/stop | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review should select one repetition or define repeated start/stop annotations. | TO_FILL_MANUALLY | candidate | test_videos/start_stop_localization/start_stop_localization_004/start_stop_localization_004.mp4 | already_exists | null |
start_stop_localization_007 | 5 | start_stop_localization | Walking Through Door | Copyright Free Video Footage | https://www.youtube.com/watch?v=aM3_ony5T0E | 11 | Copyright Free Video Footage | UNKNOWN | Real short clip with a spatial action that has natural entry and exit boundaries. | Say start when the person begins going through the doorway, and stop when they have passed through. | start/stop | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Short but useful for action-boundary localization. | TO_FILL_MANUALLY | candidate | test_videos/start_stop_localization/start_stop_localization_007/start_stop_localization_007.mp4 | already_exists | null |
start_stop_localization_008 | 6 | start_stop_localization | How To Reverse Lunge | https://www.youtube.com/watch?v=xrPteyQLGAo | 15 | PureGym | UNKNOWN | Exercise demonstration with clear start and end posture for each repetition. | Say start when the reverse lunge begins, and stop when the person returns to standing. | start/stop | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Can be annotated for one complete repetition after manual review. | TO_FILL_MANUALLY | candidate | test_videos/start_stop_localization/start_stop_localization_008/start_stop_localization_008.mp4 | already_exists | null |
event_trigger_001 | 1 | event_trigger | Sailor the Touchdown Dog Sets Record for the Longest Catch at a Live Sporting Event | https://www.youtube.com/watch?v=ApHFw4ueyP8 | 28 | Frisbee Rob | UNKNOWN | Short clip centered on a dog catching an object, with a clear trigger moment. | Tell me when the dog catches the disc or ball. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review should decide exact wording after checking whether the caught object is best described as a disc, frisbee, or ball. | TO_FILL_MANUALLY | candidate | test_videos/event_trigger/event_trigger_001/event_trigger_001.mp4 | already_exists | null |
event_trigger_002 | 2 | event_trigger | Cat Jumps on Kitchen Counter and Gets Spooked by Tin Foil - 1321554 | https://www.youtube.com/watch?v=ksEyPjifCK4 | 38 | RM Videos | UNKNOWN | Clear animal jump event with a visible before-event period. | Alert me when the cat jumps onto the counter. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Use the jump/contact moment as the likely answer timestamp after manual review. | TO_FILL_MANUALLY | candidate | test_videos/event_trigger/event_trigger_002/event_trigger_002.mp4 | already_exists | null |
event_trigger_003 | 3 | event_trigger | ROYALTY FREE VIDEO FOOTAGE : Traffic Lights Green Amber Red NO FEE | https://www.youtube.com/watch?v=1gUiaLlYBJ0 | 47 | Royalty FREE Videos. Music and Sound Effects | UNKNOWN | Traffic signal color changes are visually discrete and easy to timestamp. | Say something when the traffic light turns green. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Verify the light sequence and choose the relevant green-change timestamp manually. | TO_FILL_MANUALLY | candidate | test_videos/event_trigger/event_trigger_003/event_trigger_003.mp4 | already_exists | null |
event_trigger_004 | 4 | event_trigger | Dog catching frisbee in slow motion | https://www.youtube.com/watch?v=6QKO57pxbKo | 18 | Cody Gleason | UNKNOWN | Real slow-motion footage makes the catch moment easy to timestamp. | Alert me exactly when the dog catches the frisbee. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Strong event-trigger candidate; use first contact/catch frame as the target after manual review. | TO_FILL_MANUALLY | candidate | test_videos/event_trigger/event_trigger_004/event_trigger_004.mp4 | already_exists | null |
event_trigger_005 | 5 | event_trigger | Dog catching ball in slow motion - No copyright | https://www.youtube.com/watch?v=o_C7ZLSA3is | 18 | Slow Motion no Copyright | UNKNOWN | Real slow-motion dog catch with a clear pre-event interval. | Alert me when the dog catches the ball. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Check whether the ball is cleanly caught rather than merely contacted. | TO_FILL_MANUALLY | candidate | test_videos/event_trigger/event_trigger_005/event_trigger_005.mp4 | already_exists | null |
event_trigger_007 | 7 | event_trigger | Free 4K Royalty-Free Stock Video: Road crossing traffic pedestrian green light | https://www.youtube.com/watch?v=UQmdD-4ydmA | 42 | Stockingham Royalty-Free | UNKNOWN | Pedestrian signal state is a clear visual trigger with no audio dependence. | Alert me when the pedestrian signal shows green/walk. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Useful if the red-to-green transition is visible; otherwise use as a state-detection trigger. | TO_FILL_MANUALLY | candidate | test_videos/event_trigger/event_trigger_007/event_trigger_007.mp4 | already_exists | null |
event_trigger_008 | 8 | event_trigger | 60fps Slo-Mo cat jumps onto counter | https://www.youtube.com/watch?v=TpPzbMPXswE | 13 | Benjamin Cameron Hunt | UNKNOWN | Short real slow-motion clip with a clear jump and landing event. | Tell me when the cat jumps onto the counter. | event occurrence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Use the landing/contact moment as the likely trigger timestamp. | TO_FILL_MANUALLY | candidate | test_videos/event_trigger/event_trigger_008/event_trigger_008.mp4 | already_exists | null |
negative_silence_001 | 1 | negative_silence | Man Sitting At Table Stock Video | https://www.youtube.com/watch?v=9j1IezddqRc | 25 | Motion Array | UNKNOWN | Static table scene candidate where a specified object pickup can be absent. | Tell me when the person picks up a red cup. | silence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review must confirm the target event never occurs. | TO_FILL_MANUALLY | candidate | test_videos/negative_silence/negative_silence_001/negative_silence_001.mp4 | already_exists | null |
negative_silence_002 | 2 | negative_silence | Man Sitting On a Bench - Free Stock Creative Commons Video | https://www.youtube.com/watch?v=zOI3H7ZpVxc | 15 | Freestocks | UNKNOWN | Simple seated-person clip suitable for a no-standing or no-entry target condition. | Alert me when the person stands up. | silence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review must confirm the person remains seated for the usable segment. | TO_FILL_MANUALLY | candidate | test_videos/negative_silence/negative_silence_002/negative_silence_002.mp4 | already_exists | null |
negative_silence_004 | 4 | negative_silence | Exhausted Office Worker Sitting at His Desk | Stock Footage - Videohive | https://www.youtube.com/watch?v=B_KZGdWrEAE | 15 | Stock City | UNKNOWN | Real static office scene suitable for absent action targets. | Stay silent unless the office worker stands up. | silence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review must confirm no stand-up event occurs. | TO_FILL_MANUALLY | candidate | test_videos/negative_silence/negative_silence_004/negative_silence_004.mp4 | already_exists | null |
negative_silence_005 | 5 | negative_silence | A Man Reading A Book - Stock Video Free To Use HD 4K | https://www.youtube.com/watch?v=42Kq5Xb7KeQ | 11 | Free Stock Videos | UNKNOWN | Simple real footage with a person focused on reading, suitable for a no-object-pickup target. | Tell me when the man closes the book. | silence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review must confirm the target event never occurs in the usable segment. | TO_FILL_MANUALLY | candidate | test_videos/negative_silence/negative_silence_005/negative_silence_005.mp4 | already_exists | null |
negative_silence_006 | 6 | negative_silence | Woman Sitting At A Table Stock Video | https://www.youtube.com/watch?v=3wQG-oh50tA | 11 | Motion Array | UNKNOWN | Real seated table scene with few distractions, useful for false-alarm testing. | Alert me when the woman picks up a red cup. | silence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review must confirm no matching red-cup pickup occurs. | TO_FILL_MANUALLY | candidate | test_videos/negative_silence/negative_silence_006/negative_silence_006.mp4 | already_exists | null |
negative_silence_007 | 7 | negative_silence | 4K- A man sitting on a sofa and working on an iPad II Stock | https://www.youtube.com/watch?v=s32Dkacb0AM | 33 | RF Stocks | UNKNOWN | Real indoor scene suitable for an absent standing or object-transfer event. | Tell me when the man stands up from the sofa. | silence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review must verify the person remains seated throughout the chosen segment. | TO_FILL_MANUALLY | candidate | test_videos/negative_silence/negative_silence_007/negative_silence_007.mp4 | already_exists | null |
negative_silence_008 | 8 | negative_silence | Corridor - Free Footage | https://www.youtube.com/watch?v=eNwFcBU1XaQ | 21 | Free Stock Footage | UNKNOWN | Empty corridor footage can test silence for an event that never appears. | Alert me when a person enters the corridor. | silence | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review must confirm the corridor stays empty. | TO_FILL_MANUALLY | candidate | test_videos/negative_silence/negative_silence_008/negative_silence_008.mp4 | already_exists | null |
proactive_video_qa_001 | 1 | proactive_video_qa | Animation Reference | Physicality Shot | Pick up a heavy object | 3D Animation | Animation Mentor | https://www.youtube.com/watch?v=nmp61uXbzUo | 22 | Mona Tajiki | UNKNOWN | Short focused pickup action with little scene clutter. | Stay quiet until the pickup is clear; what object does the person pick up? | object name | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review should mark when the target object becomes visually identifiable. | TO_FILL_MANUALLY | candidate | test_videos/proactive_video_qa/proactive_video_qa_001/proactive_video_qa_001.mp4 | already_exists | null |
proactive_video_qa_002 | 2 | proactive_video_qa | Character picking up an object animation | https://www.youtube.com/watch?v=HSTRptvTBUo | 14 | MeBMan | UNKNOWN | Very compact clip centered on one character-object interaction. | Stay quiet until the pickup is clear; what does the character pick up? | object name | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Short animation candidate; verify whether the object identity is clear enough. | TO_FILL_MANUALLY | candidate | test_videos/proactive_video_qa/proactive_video_qa_002/proactive_video_qa_002.mp4 | already_exists | null |
proactive_video_qa_003 | 3 | proactive_video_qa | Pouring Milk Into Bowl Stock Video | https://www.youtube.com/watch?v=hmzRvXMXn34 | 30 | Motion Array | UNKNOWN | Simple single action where the relevant liquid becomes clear during the clip. | Stay quiet until the pouring starts; what liquid is poured into the bowl? | liquid type | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Good candidate for delayed visual evidence; final timestamp should be set when the liquid is visually clear. | TO_FILL_MANUALLY | candidate | test_videos/proactive_video_qa/proactive_video_qa_003/proactive_video_qa_003.mp4 | already_exists | null |
proactive_video_qa_004 | 4 | proactive_video_qa | Young happy couple opening cardboard box after relocation and looking inside and taking cup in new | https://www.youtube.com/watch?v=sd-rRuSWFZI | 17 | Mediame | UNKNOWN | Real footage with a box-opening reveal and a clear object interaction. | Stay quiet until something is taken from the box; what object do they take out? | object name | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Better representative alternative to animation-style pickup clips; manually verify the revealed object. | TO_FILL_MANUALLY | candidate | test_videos/proactive_video_qa/proactive_video_qa_004/proactive_video_qa_004.mp4 | already_exists | null |
proactive_video_qa_006 | 6 | proactive_video_qa | Free Stock Footage | Pouring Coffee Into A Cup | No Copyright | Free Royalty Videos HD | https://www.youtube.com/watch?v=n0NtsPAeKLI | 24 | Free Stock Footage | UNKNOWN | Clear real footage where the relevant liquid becomes evident during pouring. | Stay quiet until the liquid is visible; what is poured into the cup? | liquid type | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Good timing candidate because the visual evidence appears at the pour. | TO_FILL_MANUALLY | candidate | test_videos/proactive_video_qa/proactive_video_qa_006/proactive_video_qa_006.mp4 | already_exists | null |
proactive_video_qa_007 | 7 | proactive_video_qa | Pouring Water in Drinking Glass - Free Stock Creative Commons Video | https://www.youtube.com/watch?v=k-L-pIp-ruo | 16 | Freestocks | UNKNOWN | Simple real stock footage with a single delayed visual answer. | Stay quiet until the pouring begins; what is being poured into the glass? | liquid type | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Short and visually clean; final timestamp should be the first clear pour frame. | TO_FILL_MANUALLY | candidate | test_videos/proactive_video_qa/proactive_video_qa_007/proactive_video_qa_007.mp4 | already_exists | null |
proactive_video_qa_008 | 8 | proactive_video_qa | Pouring Flour Into Bowl Stock Video | https://www.youtube.com/watch?v=LZBTnWv2tZM | 36 | Motion Array | UNKNOWN | Cooking-prep footage where the ingredient becomes clear when added to the bowl. | Stay quiet until the ingredient is visible; what is poured into the bowl? | ingredient name | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review should confirm flour is visually distinguishable without relying on title. | TO_FILL_MANUALLY | candidate | test_videos/proactive_video_qa/proactive_video_qa_008/proactive_video_qa_008.mp4 | already_exists | null |
start_stop_localization_001 | 1 | start_stop_localization | Sit to Stand | https://www.youtube.com/watch?v=ITv-_BkcrD0 | 44 | Baptist Health | UNKNOWN | Demonstration clip with a clear standing action suitable for start and stop timestamps. | Say start when the person begins standing from the chair, and stop when fully standing. | start/stop | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review should choose one repetition or define whether all repetitions should be marked. | TO_FILL_MANUALLY | candidate | test_videos/start_stop_localization/start_stop_localization_001/start_stop_localization_001.mp4 | already_exists | null |
start_stop_localization_002 | 2 | start_stop_localization | Sit to stand | https://www.youtube.com/watch?v=Dg20pIkkzh8 | 17 | NHS University Hospitals Plymouth Physiotherapy | UNKNOWN | Short clinical exercise demonstration with a clear begin/end action boundary. | Say start when the person starts standing up, and stop when they are upright. | start/stop | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Likely best for a single start-stop action; verify full seated-to-standing interval. | TO_FILL_MANUALLY | candidate | test_videos/start_stop_localization/start_stop_localization_002/start_stop_localization_002.mp4 | already_exists | null |
start_stop_localization_003 | 3 | start_stop_localization | Maya animation walk, run & stop test - side shot | https://www.youtube.com/watch?v=xPUYw3JMqvU | 8 | Ollie Thomas | UNKNOWN | Compact animation test explicitly includes a run and stop transition. | Say start when the character begins running, and stop when the run ends. | start/stop | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Shorter than preferred; keep only if manual review confirms visible start and stop moments. | TO_FILL_MANUALLY | candidate | test_videos/start_stop_localization/start_stop_localization_003/start_stop_localization_003.mp4 | already_exists | null |
start_stop_localization_004 | 4 | start_stop_localization | The sit-to-stand test | https://www.youtube.com/watch?v=1tdtHWURId0 | 41 | Montreal Gazette | UNKNOWN | Real demonstration with repeated sit-to-stand boundaries that are easy to inspect. | Say start when the person begins standing up, and stop when they are fully standing. | start/stop | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Manual review should select one repetition or define repeated start/stop annotations. | TO_FILL_MANUALLY | candidate | test_videos/start_stop_localization/start_stop_localization_004/start_stop_localization_004.mp4 | already_exists | null |
start_stop_localization_007 | 5 | start_stop_localization | Walking Through Door | Copyright Free Video Footage | https://www.youtube.com/watch?v=aM3_ony5T0E | 11 | Copyright Free Video Footage | UNKNOWN | Real short clip with a spatial action that has natural entry and exit boundaries. | Say start when the person begins going through the doorway, and stop when they have passed through. | start/stop | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Short but useful for action-boundary localization. | TO_FILL_MANUALLY | candidate | test_videos/start_stop_localization/start_stop_localization_007/start_stop_localization_007.mp4 | already_exists | null |
start_stop_localization_008 | 6 | start_stop_localization | How To Reverse Lunge | https://www.youtube.com/watch?v=xrPteyQLGAo | 15 | PureGym | UNKNOWN | Exercise demonstration with clear start and end posture for each repetition. | Say start when the reverse lunge begins, and stop when the person returns to standing. | start/stop | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | TO_FILL_MANUALLY | Can be annotated for one complete repetition after manual review. | TO_FILL_MANUALLY | candidate | test_videos/start_stop_localization/start_stop_localization_008/start_stop_localization_008.mp4 | already_exists | null |
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