Dataset Viewer
Duplicate
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
step: int64
line_idx: int64
uid: string
score: double
system: string
question: string
response: string
rows: int64
min_step: int64
filename: string
kind: string
manifest_sha256: string
schema_version: int64
max_step: int64
repo_id: string
revision: string
manifest_filename: string
sha256: string
to
{'filename': Value('string'), 'kind': Value('string'), 'manifest_filename': Value('string'), 'manifest_sha256': Value('string'), 'max_step': Value('int64'), 'min_step': Value('int64'), 'repo_id': Value('string'), 'revision': Value('string'), 'rows': Value('int64'), 'schema_version': Value('int64'), 'sha256': 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
              step: int64
              line_idx: int64
              uid: string
              score: double
              system: string
              question: string
              response: string
              rows: int64
              min_step: int64
              filename: string
              kind: string
              manifest_sha256: string
              schema_version: int64
              max_step: int64
              repo_id: string
              revision: string
              manifest_filename: string
              sha256: string
              to
              {'filename': Value('string'), 'kind': Value('string'), 'manifest_filename': Value('string'), 'manifest_sha256': Value('string'), 'max_step': Value('int64'), 'min_step': Value('int64'), 'repo_id': Value('string'), 'revision': Value('string'), 'rows': Value('int64'), 'schema_version': Value('int64'), 'sha256': Value('string')}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

MBPP coding-SFT artifacts

Delivery status: complete (130/130 validated evaluations).

This repository contains the exact training datasets and provenance, training configs/metrics/per-rank manifests/W&B lineage, the canonical MBPP+ evaluation input, and raw generations, execution-scored generations, summaries, derived per-prompt pass@k records, completion markers, and offline W&B transactions for the 13 coding-SFT arms. See source_lineage_manifest.json and delivery_state.json. delivery_manifest.json exists only after the strict 130/130 completion gate has passed.

Downloads last month
92