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
id: string
conversations: list<item: struct<from: string, value: string>>
child 0, item: struct<from: string, value: string>
child 0, from: string
child 1, value: string
input: string
output: string
domain: string
meta: struct<license: string, dataset: string, teacher_model: string>
child 0, license: string
child 1, dataset: string
child 2, teacher_model: string
verified_revision: string
shuffled: bool
source_revision: string
seed: int64
source_repository: string
total_records: int64
format: string
configs: list<item: struct<config: string, records: int64, source_files: list<item: struct<path: string, byte (... 151 chars omitted)
child 0, item: struct<config: string, records: int64, source_files: list<item: struct<path: string, bytes: int64, s (... 139 chars omitted)
child 0, config: string
child 1, records: int64
child 2, source_files: list<item: struct<path: string, bytes: int64, sha256: string, records: int64>>
child 0, item: struct<path: string, bytes: int64, sha256: string, records: int64>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
child 3, records: int64
child 3, input_bytes: int64
child 4, parts: list<item: struct<path: string, bytes: int64, sha256: string, records: int64>>
child 0, item: struct<path: string, bytes: int64, sha256: string, records: int64>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
child 3, records: int64
filtered: bool
complete: bool
target_part_bytes: int64
to
{'format': Value('string'), 'complete': Value('bool'), 'source_repository': Value('string'), 'source_revision': Value('string'), 'seed': Value('int64'), 'target_part_bytes': Value('int64'), 'shuffled': Value('bool'), 'filtered': Value('bool'), 'configs': List({'config': Value('string'), 'records': Value('int64'), 'source_files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'records': Value('int64')}), 'input_bytes': Value('int64'), 'parts': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'records': Value('int64')})}), 'total_records': Value('int64'), 'verified_revision': 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
id: string
conversations: list<item: struct<from: string, value: string>>
child 0, item: struct<from: string, value: string>
child 0, from: string
child 1, value: string
input: string
output: string
domain: string
meta: struct<license: string, dataset: string, teacher_model: string>
child 0, license: string
child 1, dataset: string
child 2, teacher_model: string
verified_revision: string
shuffled: bool
source_revision: string
seed: int64
source_repository: string
total_records: int64
format: string
configs: list<item: struct<config: string, records: int64, source_files: list<item: struct<path: string, byte (... 151 chars omitted)
child 0, item: struct<config: string, records: int64, source_files: list<item: struct<path: string, bytes: int64, s (... 139 chars omitted)
child 0, config: string
child 1, records: int64
child 2, source_files: list<item: struct<path: string, bytes: int64, sha256: string, records: int64>>
child 0, item: struct<path: string, bytes: int64, sha256: string, records: int64>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
child 3, records: int64
child 3, input_bytes: int64
child 4, parts: list<item: struct<path: string, bytes: int64, sha256: string, records: int64>>
child 0, item: struct<path: string, bytes: int64, sha256: string, records: int64>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
child 3, records: int64
filtered: bool
complete: bool
target_part_bytes: int64
to
{'format': Value('string'), 'complete': Value('bool'), 'source_repository': Value('string'), 'source_revision': Value('string'), 'seed': Value('int64'), 'target_part_bytes': Value('int64'), 'shuffled': Value('bool'), 'filtered': Value('bool'), 'configs': List({'config': Value('string'), 'records': Value('int64'), 'source_files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'records': Value('int64')}), 'input_bytes': Value('int64'), 'parts': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'records': Value('int64')})}), 'total_records': Value('int64'), 'verified_revision': 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.
DeepSeek-V4-Pro-Distilled-Math-Sharded
Shuffled ~100 MB plain-JSONL shards of the Math config of Jackrong/DeepSeek-V4-Pro-Distilled-200K (gzip removed, rows unchanged).
Source: Jackrong/DeepSeek-V4-Pro-Distilled-200K at revision b3f5c9f69d9ea70fe7f10aef08969f61491490f8. Records are shuffled with seed 20260925 and split into ~100 MB parts; see MANIFEST.json for per-part hashes and record counts. Storage preparation only: no filtering or content change beyond the re-serialization noted above. Do not ingest until MANIFEST.json reports complete: true.
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