The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
video_id: string
time_span: list<item: int64>
child 0, item: int64
concept_id: string
keyframe_id: string
concepts: list<item: string>
child 0, item: string
prompt_version: string
git_commit: string
subset: string
input: string
stage: string
artifact: string
model: string
to
{'artifact': Value('string'), 'input': Value('string'), 'subset': Value('string'), 'stage': Value('string'), 'model': Value('string'), 'prompt_version': Value('string'), 'git_commit': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
video_id: string
time_span: list<item: int64>
child 0, item: int64
concept_id: string
keyframe_id: string
concepts: list<item: string>
child 0, item: string
prompt_version: string
git_commit: string
subset: string
input: string
stage: string
artifact: string
model: string
to
{'artifact': Value('string'), 'input': Value('string'), 'subset': Value('string'), 'stage': Value('string'), 'model': Value('string'), 'prompt_version': Value('string'), 'git_commit': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Object detection
This directory contains concepts and object detections generated from the original keyframe set. The primary artifacts are concepts.jsonl and detections.jsonl; artifact_metadata.jsonl records the input, model, prompt version, subset, and Git lineage.
concepts.jsonl
Each line is one ConceptRecord, a short list of general concepts proposed for one keyframe.
Common fields:
concept_id: stable concept identifiervideo_id: source video identifiertime_span:[timestamp_ms, timestamp_ms]in source video timekeyframe_id: referenced canonical keyframeconcepts: unique general visual concepts used as detection prompts
detections.jsonl
Each line is one TrackingDetectionRecord, a detected object in one keyframe.
Common fields:
detection_id: stable observation identifiervideo_id: source video identifiertime_span:[timestamp_ms, timestamp_ms]in source video timelabel: detected object classbbox: normalized object region withx_min,y_min,x_max, andy_maxconfidence: SAM3 detection scoreconcept_id: concept that prompted this detectiontrack_id: sparse association within the source shotframe_index: source frame index
The published files are merged across all 700 videos. Each JSONL line keeps its video_id, so consumers can filter one video without restoring the former shard directories.
Generation flow
A vision endpoint proposes general concepts from the keyframes. SAM3 verifies and localizes those concepts, then associates matching boxes across adjacent keyframes in the same shot. It publishes concepts and detections separately so visible text remains the responsibility of OCR.
Run detection for the original keyframe set:
make data-detection \
JOB='concepts detection' \
INPUT=/data/aic/shared/artifacts/keyframes/keyframes.jsonl \
OUTPUT=/data/aic/shared/artifacts/object_detection \
SUBSET=700vid
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