Dataset Viewer

Split (1)

train

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:    ValueError
Message:      Invalid string class label highlight_annotation@27c127ecba01183ca4a2ca7196ac70facb8a4b74
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 2368, in __iter__
                  example = _apply_feature_types_on_example(
                      example, self.features, token_per_repo_id=self.token_per_repo_id
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2285, in _apply_feature_types_on_example
                  encoded_example = features.encode_example(example)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2162, in encode_example
                  return encode_nested_example(self, example)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1446, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                      ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1469, in encode_nested_example
                  return schema.encode_example(obj) if obj is not None else None
                         ~~~~~~~~~~~~~~~~~~~~~^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1144, in encode_example
                  example_data = self.str2int(example_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1081, in str2int
                  output = [self._strval2int(value) for value in values]
                            ~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1102, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label highlight_annotation@27c127ecba01183ca4a2ca7196ac70facb8a4b74

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.

Highlight Annotation Videos

Public video archives for the 0804_balanced highlight-review assignments.

Categories: 7
Videos: 642
Packaging: one ZIP64 archive per category
ZIP method: stored (MP4 files are already compressed)
Exact file lists: video_manifest.json

Category	Archive	Videos	Size	Extracted repository path
`product_sale`	`batch_Product_Sale.zip`	86	4.48 GiB	`videos/batch_Product_Sale`
`food_sharing`	`batch_Food_Sharing.zip`	38	2.30 GiB	`videos/batch_Food_Sharing`
`beauty`	`batch_Beauty.zip`	94	4.96 GiB	`videos/batch_Beauty`
`chat_interaction`	`batch_Chat_Interaction_compressed.zip`	121	4.85 GiB	`videos/batch_Chat_Interaction_compressed`
`fashion_dance`	`batch_Fashion_Dance.zip`	170	10.13 GiB	`videos/batch_Fashion_Dance`
`outfits_and_accessories`	`batch_Outfits_And_Accessories.zip`	12	0.82 GiB	`videos/batch_Outfits_And_Accessories`
`singing`	`batch_Singing.zip`	121	5.37 GiB	`videos/batch_Singing`

Download one category:

hf download TTadapter/highlight_annotation <archive-name>.zip \
  --repo-type dataset --local-dir .

Extract from the highlight_annotator repository root:

mkdir -p videos
python -m zipfile -e <archive-name>.zip videos

The directory inside each ZIP already matches the category configuration, so no rename or symbolic link is needed after extraction.

Downloads last month: 56

Total file size:

35.4 GB