Datasets:
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
OpenVid_part0.zip: list<item: string>
child 0, item: string
OpenVid_part1.zip: list<item: string>
child 0, item: string
OpenVid_part2.zip: list<item: string>
child 0, item: string
OpenVid_part3.zip: list<item: string>
child 0, item: string
OpenVid_part4.zip: list<item: string>
child 0, item: string
OpenVid_part5.zip: list<item: string>
child 0, item: string
OpenVid_part6.zip: list<item: string>
child 0, item: string
OpenVid_part7.zip: list<item: string>
child 0, item: string
OpenVid_part8.zip: list<item: string>
child 0, item: string
OpenVid_part9.zip: list<item: string>
child 0, item: string
OpenVid_part10.zip: list<item: string>
child 0, item: string
OpenVid_part11.zip: list<item: string>
child 0, item: string
OpenVid_part12.zip: list<item: string>
child 0, item: string
OpenVid_part13.zip: list<item: string>
child 0, item: string
OpenVid_part14.zip: list<item: string>
child 0, item: string
OpenVid_part15.zip: list<item: string>
child 0, item: string
OpenVid_part16.zip: list<item: string>
child 0, item: string
OpenVid_part17.zip: list<item: string>
child 0, item: string
OpenVid_part18.zip: list<item: string>
child 0, item: string
OpenVid_part19.zip: list<item: string>
child 0, item: string
OpenVid_part20.zip: list<item: string>
child 0, item: string
OpenVid_part21.zip: list<item: string>
child 0, item: string
OpenVid_part22.zip: list<item: string>
child 0, item: string
OpenVid_part23.zip: list<item: string>
child 0, item: strin
...
t<item: string>
child 0, item: string
OpenVid_part162.zip: list<item: string>
child 0, item: string
OpenVid_part163.zip: list<item: string>
child 0, item: string
OpenVid_part164.zip: list<item: string>
child 0, item: string
OpenVid_part165.zip: list<item: string>
child 0, item: string
OpenVid_part166.zip: list<item: string>
child 0, item: string
OpenVid_part167.zip: list<item: string>
child 0, item: string
OpenVid_part168.zip: list<item: string>
child 0, item: string
OpenVid_part169.zip: list<item: string>
child 0, item: string
OpenVid_part170.zip: list<item: string>
child 0, item: string
OpenVid_part171.zip: list<item: string>
child 0, item: string
OpenVid_part172.zip: list<item: string>
child 0, item: string
OpenVid_part173.zip: list<item: string>
child 0, item: string
OpenVid_part174.zip: list<item: string>
child 0, item: string
OpenVid_part175.zip: list<item: string>
child 0, item: string
OpenVid_part176.zip: list<item: string>
child 0, item: string
OpenVid_part177.zip: list<item: string>
child 0, item: string
OpenVid_part178.zip: list<item: string>
child 0, item: string
OpenVid_part179.zip: list<item: string>
child 0, item: string
OpenVid_part180.zip: list<item: string>
child 0, item: string
OpenVid_part181.zip: list<item: string>
child 0, item: string
OpenVid_part182.zip: list<item: string>
child 0, item: string
count: int64
sources: list<item: string>
child 0, item: string
width: int64
fps: int64
height: int64
frames: int64
to
{'frames': Value('int64'), 'height': Value('int64'), 'width': Value('int64'), 'fps': Value('int64'), 'count': Value('int64'), 'sources': List(Value('string'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
OpenVid_part0.zip: list<item: string>
child 0, item: string
OpenVid_part1.zip: list<item: string>
child 0, item: string
OpenVid_part2.zip: list<item: string>
child 0, item: string
OpenVid_part3.zip: list<item: string>
child 0, item: string
OpenVid_part4.zip: list<item: string>
child 0, item: string
OpenVid_part5.zip: list<item: string>
child 0, item: string
OpenVid_part6.zip: list<item: string>
child 0, item: string
OpenVid_part7.zip: list<item: string>
child 0, item: string
OpenVid_part8.zip: list<item: string>
child 0, item: string
OpenVid_part9.zip: list<item: string>
child 0, item: string
OpenVid_part10.zip: list<item: string>
child 0, item: string
OpenVid_part11.zip: list<item: string>
child 0, item: string
OpenVid_part12.zip: list<item: string>
child 0, item: string
OpenVid_part13.zip: list<item: string>
child 0, item: string
OpenVid_part14.zip: list<item: string>
child 0, item: string
OpenVid_part15.zip: list<item: string>
child 0, item: string
OpenVid_part16.zip: list<item: string>
child 0, item: string
OpenVid_part17.zip: list<item: string>
child 0, item: string
OpenVid_part18.zip: list<item: string>
child 0, item: string
OpenVid_part19.zip: list<item: string>
child 0, item: string
OpenVid_part20.zip: list<item: string>
child 0, item: string
OpenVid_part21.zip: list<item: string>
child 0, item: string
OpenVid_part22.zip: list<item: string>
child 0, item: string
OpenVid_part23.zip: list<item: string>
child 0, item: strin
...
t<item: string>
child 0, item: string
OpenVid_part162.zip: list<item: string>
child 0, item: string
OpenVid_part163.zip: list<item: string>
child 0, item: string
OpenVid_part164.zip: list<item: string>
child 0, item: string
OpenVid_part165.zip: list<item: string>
child 0, item: string
OpenVid_part166.zip: list<item: string>
child 0, item: string
OpenVid_part167.zip: list<item: string>
child 0, item: string
OpenVid_part168.zip: list<item: string>
child 0, item: string
OpenVid_part169.zip: list<item: string>
child 0, item: string
OpenVid_part170.zip: list<item: string>
child 0, item: string
OpenVid_part171.zip: list<item: string>
child 0, item: string
OpenVid_part172.zip: list<item: string>
child 0, item: string
OpenVid_part173.zip: list<item: string>
child 0, item: string
OpenVid_part174.zip: list<item: string>
child 0, item: string
OpenVid_part175.zip: list<item: string>
child 0, item: string
OpenVid_part176.zip: list<item: string>
child 0, item: string
OpenVid_part177.zip: list<item: string>
child 0, item: string
OpenVid_part178.zip: list<item: string>
child 0, item: string
OpenVid_part179.zip: list<item: string>
child 0, item: string
OpenVid_part180.zip: list<item: string>
child 0, item: string
OpenVid_part181.zip: list<item: string>
child 0, item: string
OpenVid_part182.zip: list<item: string>
child 0, item: string
count: int64
sources: list<item: string>
child 0, item: string
width: int64
fps: int64
height: int64
frames: int64
to
{'frames': Value('int64'), 'height': Value('int64'), 'width': Value('int64'), 'fps': Value('int64'), 'count': Value('int64'), 'sources': List(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.
OpenVid GOP cache for HFTV
Fixed-size one-second video clips, packed for training a spatiotemporal autoencoder. Derived from OpenVid-1M (Nan et al., OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation, ICLR 2025), used and redistributed under CC BY-4.0; this derivative carries the same licence.
Why it exists
OpenVid-1M ships as 12.4 TB of ~50 GB zip parts, so selecting clips by caption cannot reduce what you fetch -- only what you keep. This is that selection done once: the filter below applied, every clip decoded to a fixed geometry, and the result packed into a flat memmap that a training job reads directly. Built from 20 of 186 parts.
Contents
| directory | clips | GOPs | filter |
|---|---|---|---|
openvid-head/ |
10544 | 31051 | static, low motion, >= 1 s, and a talking-head caption |
openvid-diverse/ |
28991 | 72831 | static, >= 1 s, quota-balanced over nine caption categories |
openvid-diverse/ is quota-balanced across animal, food, vehicle,
text-graphic, urban, nature, interior, object and people-other, each
assigned by first match in priority order so every clip has exactly one
label. 85% of each quota is low motion (score < 5) and 15% is
5-15, deliberately: a corpus with no motion in it is its own kind of
narrow.
The balance is computed over the clips actually reachable in the fetched parts, not corpus-wide, because a build fetches a handful of ~45 GB parts and a corpus-wide quota would leave the published balance as whatever those parts happened to hold. That is how an earlier version of this dataset ended up with a "non-person" split that was almost entirely stock landscape footage.
Talking-head captions match:
speaking
interview
talking
microphone
looking at the camera
portrait
podcast
news anchor
Format
Each directory holds gops.u8 and index.json.
gops.u8-- rawuint8, C-order, shape(count, 12, 120, 160, 3), RGB. One row is one GOP: 12 frames at 12 fps = 1.000 s.index.json--{frames, height, width, fps, count, sources}, wheresources[i]is the OpenVid filename GOPicame from. Up to 3 consecutive GOPs come from one clip.
import json, numpy as np
meta = json.load(open("openvid-head/index.json"))
gops = np.memmap("openvid-head/gops.u8", np.uint8, "r",
shape=(meta["count"], 12, 120, 160, 3))
Clips are centre-cropped to 4:3 and then scaled -- never stretched. Letterbox bars are detected and removed before the crop.
Caveats
- 120x160 at 12 fps is a deliberate reduction, chosen for a narrowband analog video mode. This is not a general-purpose video corpus; nothing here is at OpenVid's original quality.
- The filter is metadata-driven.
camera motionandmotion scoreare OpenVid's own annotations and inherit their errors. - Captions are matched by regular expression, so both splits contain what a caption says, not what a detector found. The non-person split in particular is "no person was mentioned", which is not the same as "no person is visible" -- expect some contamination, and check the pictures rather than trusting the label.
Built by scripts/prepare_openvid_job.py.
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