Dataset Viewer
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
n: int64
labels: list<item: int64>
child 0, item: int64
videos: list<item: string>
child 0, item: string
unreadable: list<item: null>
child 0, item: null
bin: string
classes: list<item: string>
child 0, item: string
shape: list<item: int64>
child 0, item: int64
clip_stride: int64
dtype: string
split: string
size: int64
step: int64
parts: list<item: string>
child 0, item: string
frames: int64
to
{'split': Value('string'), 'size': Value('int64'), 'frames': Value('int64'), 'step': Value('int64'), 'clip_stride': Value('int64'), 'classes': List(Value('string')), 'n': Value('int64'), 'unreadable': Value('int64'), 'parts': List(Value('string')), 'shape': List(Value('int64')), 'dtype': 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
n: int64
labels: list<item: int64>
child 0, item: int64
videos: list<item: string>
child 0, item: string
unreadable: list<item: null>
child 0, item: null
bin: string
classes: list<item: string>
child 0, item: string
shape: list<item: int64>
child 0, item: int64
clip_stride: int64
dtype: string
split: string
size: int64
step: int64
parts: list<item: string>
child 0, item: string
frames: int64
to
{'split': Value('string'), 'size': Value('int64'), 'frames': Value('int64'), 'step': Value('int64'), 'clip_stride': Value('int64'), 'classes': List(Value('string')), 'n': Value('int64'), 'unreadable': Value('int64'), 'parts': List(Value('string')), 'shape': List(Value('int64')), 'dtype': 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.
Kinetics-600 train, decoded to fixed-length 128x128 clips
Pre-decoded clips for pixel-space video diffusion, so a training run does no video decoding in its data loader.
Produced by scripts/video/prep_k600.py from the CVDF Kinetics-600 train mirror.
- 1671342 clips, 600 classes, shape
[16, 3, 128, 128](uint8,[T, 3, H, W], C-contiguous) - 16 frames taken every 2 source frames (~1.3 s at 25 fps), clip starts every 32 source frames, max 4 per video
- frames resized short-side to 128 (INTER_AREA) then center-cropped square, RGB
Layout
part_NNN.bin holds n_i clips back to back; part_NNN.json has that part's labels and source class per clip;
index.json lists the parts in order. Clip i of the concatenated dataset is row i; see
JiT/video/data_video.py:ClipDataset.
Provenance and licence
The clip geometry and the index are ours. The underlying videos are Kinetics-600, collected by DeepMind from YouTube; the Kinetics annotations are CC BY 4.0, and each video remains the property of its uploader. This is a re-encoded derivative at 128x128 published for research reproducibility. If you own a video here and want it removed, open an issue on this repo.
- Downloads last month
- 584