Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
video_id: string
time_span: list<item: int64>
  child 0, item: int64
text: string
fragment_id: string
bbox: struct<x_min: double, y_min: double, x_max: double, y_max: double>
  child 0, x_min: double
  child 1, y_min: double
  child 2, x_max: double
  child 3, y_max: double
artifact: string
stage: string
prompt_version: string
input: string
model: string
subset: string
git_commit: 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
              text: string
              fragment_id: string
              bbox: struct<x_min: double, y_min: double, x_max: double, y_max: double>
                child 0, x_min: double
                child 1, y_min: double
                child 2, x_max: double
                child 3, y_max: double
              artifact: string
              stage: string
              prompt_version: string
              input: string
              model: string
              subset: string
              git_commit: 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

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.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

OCR

The primary artifact is ocr.jsonl còn artifact_metadata.jsonl records the input, model, prompt version, subset, and Git lineage

ocr.jsonl

Each line is one OCRFragment, a visible text region in one keyframe.

Common fields:

  • fragment_id: OCR observation identifier
  • video_id: source video identifier
  • time_span: [timestamp_ms, timestamp_ms] in source video time
  • text: recognized visible text
  • bbox: normalized text region with x_min, y_min, x_max, and y_max

There is no placeholder for frames without text and no fabricated confidence score. Join OCR with captions or detections on video_id and timestamp; compare normalized bounding boxes when spatial context is needed.

Generation flow

HunyuanOCR reads the canonical keyframe images, emits visible text regions, and the job validates each result as an OCRFragment. It publishes one flat JSONL file and removes provider work files and the retired bundled OCR representation after a successful run.

Run OCR for the original keyframe set:

make data-ocr INPUT=/data/aic/shared/artifacts/keyframes/keyframes.jsonl OUTPUT=/data/aic/shared/artifacts/ocr SUBSET=700vid
Downloads last month
19