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
annotation_revision: string
artifact: string
created_at_utc: string
destination_repo: string
destination_repo_type: string
payload_file_count: int64
payload_total_bytes: int64
source_inventory_sha256: string
source_root: string
schema_version: string
inventory_sha256: string
payload_bytes: int64
payload_files: int64
inventory: list<item: struct<bytes: int64, path: string, sha256: string>>
child 0, item: struct<bytes: int64, path: string, sha256: string>
child 0, bytes: int64
child 1, path: string
child 2, sha256: string
data_revision: string
to
{'data_revision': Value('string'), 'inventory': List({'bytes': Value('int64'), 'path': Value('string'), 'sha256': Value('string')}), 'inventory_sha256': Value('string'), 'payload_bytes': Value('int64'), 'payload_files': Value('int64'), 'schema_version': 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
annotation_revision: string
artifact: string
created_at_utc: string
destination_repo: string
destination_repo_type: string
payload_file_count: int64
payload_total_bytes: int64
source_inventory_sha256: string
source_root: string
schema_version: string
inventory_sha256: string
payload_bytes: int64
payload_files: int64
inventory: list<item: struct<bytes: int64, path: string, sha256: string>>
child 0, item: struct<bytes: int64, path: string, sha256: string>
child 0, bytes: int64
child 1, path: string
child 2, sha256: string
data_revision: string
to
{'data_revision': Value('string'), 'inventory': List({'bytes': Value('int64'), 'path': Value('string'), 'sha256': Value('string')}), 'inventory_sha256': Value('string'), 'payload_bytes': Value('int64'), 'payload_files': Value('int64'), 'schema_version': 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.
RoboTwin 2.0 put_object_cabinet Qwen annotations
This public artifact contains the accepted short textual subtask annotations for 50 real RoboTwin 2.0 expert episodes. It contains annotation metadata only; it does not contain the source HDF5 or videos.
- Source model:
Qwen/Qwen2.5-VL-7B-Instruct - Prompt:
put_object_cabinet_overlap_v6_hard_gt_state_feedback - Annotation revision:
3af8b3026b544d4c7da4f56d85afdd7bca303b714f763d526f476bfc3ddff943 - Split: 40 train episodes / 10 held-out episodes
- Raw stage frames: object reach/grasp 3261; parallel grasp/open 84; drawer reach/open 5496; joint insert/place 4675
parallel_grasp_open remains intact in the raw annotation. The current PI0.5 training view merges those 84 frames into the following drawer_reach_open segment, producing a three-stage effective target. Consumers should preserve both views when reviewing annotation quality.
The authoritative schema, per-episode boundaries, arm roles, source checksums, and provenance are in manifest.json. SOURCE_INVENTORY.sha256 covers the published payload files other than the inventory and transfer receipt themselves.
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