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
schema_version: int64
generated_at: timestamp[s]
datasets: list<item: struct<slug: string, display_name: string, summary: string, category: string, tags: list< (... 314 chars omitted)
child 0, item: struct<slug: string, display_name: string, summary: string, category: string, tags: list<item: strin (... 302 chars omitted)
child 0, slug: string
child 1, display_name: string
child 2, summary: string
child 3, category: string
child 4, tags: list<item: string>
child 0, item: string
child 5, source: struct<provider: string, repo_id: string, revision: string, gated: bool, license: string, license_ur (... 10 chars omitted)
child 0, provider: string
child 1, repo_id: string
child 2, revision: string
child 3, gated: bool
child 4, license: string
child 5, license_url: string
child 6, format: string
child 7, modalities: list<item: string>
child 0, item: string
child 8, size_label: string
child 9, storage_gb: double
child 10, robot: string
child 11, tasks: list<item: string>
child 0, item: string
child 12, curation: struct<status: string, notes: string>
child 0, status: string
child 1, notes: string
models: list<item: struct<slug: string, display_name: string, summary: string, task: string, tags: list<item (... 439 chars omitted)
child 0, item: struct<slug: string, display_name: string, summary: str
...
ring, tags: list<item: string>, (... 427 chars omitted)
child 0, slug: string
child 1, display_name: string
child 2, summary: string
child 3, task: string
child 4, tags: list<item: string>
child 0, item: string
child 5, source: struct<provider: string, repo_id: string, revision: string, gated: bool, license: string, license_ur (... 10 chars omitted)
child 0, provider: string
child 1, repo_id: string
child 2, revision: string
child 3, gated: bool
child 4, license: string
child 5, license_url: string
child 6, runtime: struct<registry_model: string, backend: string, adapter: string, device: string, dtype: string>
child 0, registry_model: string
child 1, backend: string
child 2, adapter: string
child 3, device: string
child 4, dtype: string
child 7, hardware: struct<minimum_vram_gb: int64, recommended_vram_gb: int64, notes: string>
child 0, minimum_vram_gb: int64
child 1, recommended_vram_gb: int64
child 2, notes: string
child 8, verification: struct<status: string, tested_at: null, airgpt_version: null, device: null, checks: list<item: null> (... 1 chars omitted)
child 0, status: string
child 1, tested_at: null
child 2, airgpt_version: null
child 3, device: null
child 4, checks: list<item: null>
child 0, item: null
to
{'schema_version': Value('int64'), 'generated_at': Value('timestamp[s]'), 'models': List({'slug': Value('string'), 'display_name': Value('string'), 'summary': Value('string'), 'task': Value('string'), 'tags': List(Value('string')), 'source': {'provider': Value('string'), 'repo_id': Value('string'), 'revision': Value('string'), 'gated': Value('bool'), 'license': Value('string'), 'license_url': Value('string')}, 'runtime': {'registry_model': Value('string'), 'backend': Value('string'), 'adapter': Value('string'), 'device': Value('string'), 'dtype': Value('string')}, 'hardware': {'minimum_vram_gb': Value('int64'), 'recommended_vram_gb': Value('int64'), 'notes': Value('string')}, 'verification': {'status': Value('string'), 'tested_at': Value('null'), 'airgpt_version': Value('null'), 'device': Value('null'), 'checks': List(Value('null'))}})}
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
schema_version: int64
generated_at: timestamp[s]
datasets: list<item: struct<slug: string, display_name: string, summary: string, category: string, tags: list< (... 314 chars omitted)
child 0, item: struct<slug: string, display_name: string, summary: string, category: string, tags: list<item: strin (... 302 chars omitted)
child 0, slug: string
child 1, display_name: string
child 2, summary: string
child 3, category: string
child 4, tags: list<item: string>
child 0, item: string
child 5, source: struct<provider: string, repo_id: string, revision: string, gated: bool, license: string, license_ur (... 10 chars omitted)
child 0, provider: string
child 1, repo_id: string
child 2, revision: string
child 3, gated: bool
child 4, license: string
child 5, license_url: string
child 6, format: string
child 7, modalities: list<item: string>
child 0, item: string
child 8, size_label: string
child 9, storage_gb: double
child 10, robot: string
child 11, tasks: list<item: string>
child 0, item: string
child 12, curation: struct<status: string, notes: string>
child 0, status: string
child 1, notes: string
models: list<item: struct<slug: string, display_name: string, summary: string, task: string, tags: list<item (... 439 chars omitted)
child 0, item: struct<slug: string, display_name: string, summary: str
...
ring, tags: list<item: string>, (... 427 chars omitted)
child 0, slug: string
child 1, display_name: string
child 2, summary: string
child 3, task: string
child 4, tags: list<item: string>
child 0, item: string
child 5, source: struct<provider: string, repo_id: string, revision: string, gated: bool, license: string, license_ur (... 10 chars omitted)
child 0, provider: string
child 1, repo_id: string
child 2, revision: string
child 3, gated: bool
child 4, license: string
child 5, license_url: string
child 6, runtime: struct<registry_model: string, backend: string, adapter: string, device: string, dtype: string>
child 0, registry_model: string
child 1, backend: string
child 2, adapter: string
child 3, device: string
child 4, dtype: string
child 7, hardware: struct<minimum_vram_gb: int64, recommended_vram_gb: int64, notes: string>
child 0, minimum_vram_gb: int64
child 1, recommended_vram_gb: int64
child 2, notes: string
child 8, verification: struct<status: string, tested_at: null, airgpt_version: null, device: null, checks: list<item: null> (... 1 chars omitted)
child 0, status: string
child 1, tested_at: null
child 2, airgpt_version: null
child 3, device: null
child 4, checks: list<item: null>
child 0, item: null
to
{'schema_version': Value('int64'), 'generated_at': Value('timestamp[s]'), 'models': List({'slug': Value('string'), 'display_name': Value('string'), 'summary': Value('string'), 'task': Value('string'), 'tags': List(Value('string')), 'source': {'provider': Value('string'), 'repo_id': Value('string'), 'revision': Value('string'), 'gated': Value('bool'), 'license': Value('string'), 'license_url': Value('string')}, 'runtime': {'registry_model': Value('string'), 'backend': Value('string'), 'adapter': Value('string'), 'device': Value('string'), 'dtype': Value('string')}, 'hardware': {'minimum_vram_gb': Value('int64'), 'recommended_vram_gb': Value('int64'), 'notes': Value('string')}, 'verification': {'status': Value('string'), 'tested_at': Value('null'), 'airgpt_version': Value('null'), 'device': Value('null'), 'checks': List(Value('null'))}})}
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.
AirGPT Embodied Model Index
This dataset is the versioned catalog used by AirGPT Runtime and the future AirGPT Hub. It indexes upstream model repositories; it does not redistribute their weights.
Every entry pins an upstream revision and records the runtime adapter, hardware guidance, license identifier, and AirGPT verification status. Upstream model licenses continue to apply to model weights and code.
Files:
index.json: current catalog consumed byairgpt hub.manifest.schema.json: JSON Schema for catalog validation and third-party tooling.
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