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
digest_date: timestamp[s]
items: list<item: struct<digest_date: timestamp[s], kind: string, repo_id: string, change_types: list<item: (... 272 chars omitted)
child 0, item: struct<digest_date: timestamp[s], kind: string, repo_id: string, change_types: list<item: string>, b (... 260 chars omitted)
child 0, digest_date: timestamp[s]
child 1, kind: string
child 2, repo_id: string
child 3, change_types: list<item: string>
child 0, item: string
child 4, buckets: list<item: string>
child 0, item: string
child 5, score: double
child 6, score_features: struct<raw: struct<>, contrib: struct<>>
child 0, raw: struct<>
child 1, contrib: struct<>
child 7, scorer_version: string
child 8, title: string
child 9, summary: string
child 10, author: string
child 11, tags: list<item: string>
child 0, item: string
child 12, tree_bytes: null
child 13, arch: null
child 14, likes_delta: null
child 15, url: string
files: struct<model: string, dataset: string, blog: string, events: string, digest: string, metrics: string (... 1 chars omitted)
child 0, model: string
child 1, dataset: string
child 2, blog: string
child 3, events: string
child 4, digest: string
child 5, metrics: string
counts: struct<>
mode: string
created_at: string
watermark: string
run_id: string
sweep_finished_at: string
timezone_note: string
sweep_started_at: string
checksums: struct<model: string, dataset: string, events: string>
child 0, model: string
child 1, dataset: string
child 2, events: string
schema_version: int64
to
{'run_id': Value('string'), 'digest_date': Value('timestamp[s]'), 'schema_version': Value('int64'), 'sweep_started_at': Value('string'), 'sweep_finished_at': Value('string'), 'watermark': Value('string'), 'mode': Value('string'), 'files': {'model': Value('string'), 'dataset': Value('string'), 'blog': Value('string'), 'events': Value('string'), 'digest': Value('string'), 'metrics': Value('string')}, 'counts': {}, 'checksums': {'model': Value('string'), 'dataset': Value('string'), 'events': Value('string')}, 'timezone_note': Value('string'), 'created_at': 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
digest_date: timestamp[s]
items: list<item: struct<digest_date: timestamp[s], kind: string, repo_id: string, change_types: list<item: (... 272 chars omitted)
child 0, item: struct<digest_date: timestamp[s], kind: string, repo_id: string, change_types: list<item: string>, b (... 260 chars omitted)
child 0, digest_date: timestamp[s]
child 1, kind: string
child 2, repo_id: string
child 3, change_types: list<item: string>
child 0, item: string
child 4, buckets: list<item: string>
child 0, item: string
child 5, score: double
child 6, score_features: struct<raw: struct<>, contrib: struct<>>
child 0, raw: struct<>
child 1, contrib: struct<>
child 7, scorer_version: string
child 8, title: string
child 9, summary: string
child 10, author: string
child 11, tags: list<item: string>
child 0, item: string
child 12, tree_bytes: null
child 13, arch: null
child 14, likes_delta: null
child 15, url: string
files: struct<model: string, dataset: string, blog: string, events: string, digest: string, metrics: string (... 1 chars omitted)
child 0, model: string
child 1, dataset: string
child 2, blog: string
child 3, events: string
child 4, digest: string
child 5, metrics: string
counts: struct<>
mode: string
created_at: string
watermark: string
run_id: string
sweep_finished_at: string
timezone_note: string
sweep_started_at: string
checksums: struct<model: string, dataset: string, events: string>
child 0, model: string
child 1, dataset: string
child 2, events: string
schema_version: int64
to
{'run_id': Value('string'), 'digest_date': Value('timestamp[s]'), 'schema_version': Value('int64'), 'sweep_started_at': Value('string'), 'sweep_finished_at': Value('string'), 'watermark': Value('string'), 'mode': Value('string'), 'files': {'model': Value('string'), 'dataset': Value('string'), 'blog': Value('string'), 'events': Value('string'), 'digest': Value('string'), 'metrics': Value('string')}, 'counts': {}, 'checksums': {'model': Value('string'), 'dataset': Value('string'), 'events': Value('string')}, 'timezone_note': Value('string'), 'created_at': 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.
hubsift snapshots
Daily thin metadata snapshots (delta + weekly full) of public Hugging Face Hub models/datasets, collected via the public Hub API for a personal change-monitoring digest. Contains only public repo metadata (id, sha, likes, tags, ...).
If you are a repo owner and want your rows removed (e.g. after deleting or privating your repo), open a discussion here and rows will be purged.
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