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
dataset: string
dtype: string
episode_index_sha256: string
kind: string
lam_checkpoint_sha256: string
manifest_sha256: string
nshard: int64
peak_cuda_allocated_bytes: int64
peak_cuda_reserved_bytes: int64
query_index_sha256: string
query_local_row_alignment: string
resize: list<item: int64>
child 0, item: int64
schema_version: int64
seconds: double
shape: list<item: int64>
child 0, item: int64
shard: int64
single_vs_full_parity: struct<pixel_max_abs: double, vae_max_abs: double, vae_max_abs_tolerance: double, vae_rmse: double, (... 27 chars omitted)
child 0, pixel_max_abs: double
child 1, vae_max_abs: double
child 2, vae_max_abs_tolerance: double
child 3, vae_rmse: double
child 4, vae_rmse_tolerance: double
smoke_prefix_rows: int64
storage_dtype: string
vae_index_sha256: string
rows: int64
status: string
query_manifest_sha256: string
matching: string
to
{'dataset': Value('string'), 'lam_checkpoint_sha256': Value('string'), 'matching': Value('string'), 'nshard': Value('int64'), 'query_manifest_sha256': Value('string'), 'rows': Value('int64'), 'schema_version': Value('int64'), 'status': 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
dataset: string
dtype: string
episode_index_sha256: string
kind: string
lam_checkpoint_sha256: string
manifest_sha256: string
nshard: int64
peak_cuda_allocated_bytes: int64
peak_cuda_reserved_bytes: int64
query_index_sha256: string
query_local_row_alignment: string
resize: list<item: int64>
child 0, item: int64
schema_version: int64
seconds: double
shape: list<item: int64>
child 0, item: int64
shard: int64
single_vs_full_parity: struct<pixel_max_abs: double, vae_max_abs: double, vae_max_abs_tolerance: double, vae_rmse: double, (... 27 chars omitted)
child 0, pixel_max_abs: double
child 1, vae_max_abs: double
child 2, vae_max_abs_tolerance: double
child 3, vae_rmse: double
child 4, vae_rmse_tolerance: double
smoke_prefix_rows: int64
storage_dtype: string
vae_index_sha256: string
rows: int64
status: string
query_manifest_sha256: string
matching: string
to
{'dataset': Value('string'), 'lam_checkpoint_sha256': Value('string'), 'matching': Value('string'), 'nshard': Value('int64'), 'query_manifest_sha256': Value('string'), 'rows': Value('int64'), 'schema_version': Value('int64'), 'status': 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.
old78k first-frame VAE caches (s29)
This is the canonical repository for Cosmos-Predict2.5 Wan2.1 VAE latents of the first frame of each exact 29-frame old78k query window. Latent-action queries, projected text, and manifest metadata are kept in their query repositories rather than mixed into this repository.
Layout
bridge/,agibot/,egodex/,egoverse/: pair withchyun/old78k_human_s29_q32_step078000_c056967f_v1.droid/: pairs withold78k_firstframe_query/droid/query.molmoact/additional/: 458,332 rows paired withold78k_firstframe_query/molmoact/additional.molmoact/selected/available/: 219,817 rows paired with the corresponding selected-query split.molmoact/selected/remainder/: 238,515 rows paired with the corresponding selected-query split.
The VAE tensor is BF16 [16, 1, 60, 80], produced from a 480x640 first frame.
Pairing always uses the dataset subset plus the common manifest row stored in
*.idx.npy; do not pair by filename order alone.
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