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: int64
repo_id: string
repo_type: string
private: bool
complete: bool
files: list<item: struct<original_path: string, remote_path: string, bytes: int64, mtime_ns: int64, inode: (... 205 chars omitted)
child 0, item: struct<original_path: string, remote_path: string, bytes: int64, mtime_ns: int64, inode: int64, sha2 (... 193 chars omitted)
child 0, original_path: string
child 1, remote_path: string
child 2, bytes: int64
child 3, mtime_ns: int64
child 4, inode: int64
child 5, sha256: string
child 6, shape: list<item: int64>
child 0, item: int64
child 7, dtype: string
child 8, volume: string
child 9, public_scan: struct<kind: string, shape: list<item: int64>, dtype: string>
child 0, kind: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, dtype: string
child 10, revision: string
child 11, verified: bool
child 12, deleted: bool
reclaimed_bytes: int64
reclaimed_by_volume: struct<container: int64, workspace: int64>
child 0, container: int64
child 1, workspace: int64
started_at: double
authorization: struct<scope: string, user_reply: string, recorded_at: double>
child 0, scope: string
child 1, user_reply: string
child 2, recorded_at: double
documentation_revision: string
finished_at: double
scope: string
total_bytes: int64
status: string
created_at: double
deletion_rule: string
to
{'schema': Value('int64'), 'repo_id': Value('string'), 'repo_type': Value('string'), 'private': Value('bool'), 'status': Value('string'), 'files': List({'original_path': Value('string'), 'remote_path': Value('string'), 'bytes': Value('int64'), 'mtime_ns': Value('int64'), 'inode': Value('int64'), 'sha256': Value('string'), 'shape': List(Value('int64')), 'dtype': Value('string'), 'volume': Value('string')}), 'total_bytes': Value('int64'), 'scope': Value('string'), 'deletion_rule': Value('string'), 'created_at': Value('float64'), 'authorization': {'scope': Value('string'), 'user_reply': Value('string'), 'recorded_at': Value('float64')}}
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
schema: int64
repo_id: string
repo_type: string
private: bool
complete: bool
files: list<item: struct<original_path: string, remote_path: string, bytes: int64, mtime_ns: int64, inode: (... 205 chars omitted)
child 0, item: struct<original_path: string, remote_path: string, bytes: int64, mtime_ns: int64, inode: int64, sha2 (... 193 chars omitted)
child 0, original_path: string
child 1, remote_path: string
child 2, bytes: int64
child 3, mtime_ns: int64
child 4, inode: int64
child 5, sha256: string
child 6, shape: list<item: int64>
child 0, item: int64
child 7, dtype: string
child 8, volume: string
child 9, public_scan: struct<kind: string, shape: list<item: int64>, dtype: string>
child 0, kind: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, dtype: string
child 10, revision: string
child 11, verified: bool
child 12, deleted: bool
reclaimed_bytes: int64
reclaimed_by_volume: struct<container: int64, workspace: int64>
child 0, container: int64
child 1, workspace: int64
started_at: double
authorization: struct<scope: string, user_reply: string, recorded_at: double>
child 0, scope: string
child 1, user_reply: string
child 2, recorded_at: double
documentation_revision: string
finished_at: double
scope: string
total_bytes: int64
status: string
created_at: double
deletion_rule: string
to
{'schema': Value('int64'), 'repo_id': Value('string'), 'repo_type': Value('string'), 'private': Value('bool'), 'status': Value('string'), 'files': List({'original_path': Value('string'), 'remote_path': Value('string'), 'bytes': Value('int64'), 'mtime_ns': Value('int64'), 'inode': Value('int64'), 'sha256': Value('string'), 'shape': List(Value('int64')), 'dtype': Value('string'), 'volume': Value('string')}), 'total_bytes': Value('int64'), 'scope': Value('string'), 'deletion_rule': Value('string'), 'created_at': Value('float64'), 'authorization': {'scope': Value('string'), 'user_reply': Value('string'), 'recorded_at': Value('float64')}}
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.
Inactive numerical artifact archive, 2026-09-19
The owner explicitly approved public archiving of the ten inactive numeric arrays listed in inventory.json on 2026-09-19. This repository contains only explicitly inventoried inactive numeric NumPy arrays from local Qwen decimal-comparison experiments. Source repositories, reports, credentials, original model weight banks and selected checkpoints are excluded. These are historical artifacts, not new validated experimental findings or deployable models.
Upstream Qwen2.5 models retain their Apache 2.0 terms; see Qwen2.5-0.5B-Instruct, Qwen2.5-1.5B-Instruct, and Qwen2.5-7B-Instruct.
manifest.json records each original path, byte count, SHA-256, immutable artifact revision and local
reclamation status. Each local file is removed only after the committed remote size and SHA-256 match
the local bytes and remote restoration metadata has been committed. The inventory pins original
file identities; files open or mapped by another process are not reclaimed.
Use python restore.py POINTER.json --destination /workspace/restored/path with a local archive pointer,
or create a pointer using the corresponding manifest entry and its repository metadata. Downloads are
streamed, verified and atomically renamed, without a duplicate Hugging Face download-cache allocation.
New restoration files belong under /workspace.
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