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
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
wall_h: double
errors: int64
resolved: int64
cum_cost: double
n: int64
tranche: int64
to
{'tranche': Value('int64'), 'n': Value('int64'), 'resolved': Value('int64'), 'wall_h': Value('float64'), 'cum_cost': Value('float64'), 'errors': Value('int64')}
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 478, 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
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
wall_h: double
errors: int64
resolved: int64
cum_cost: double
n: int64
tranche: int64
to
{'tranche': Value('int64'), 'n': Value('int64'), 'resolved': Value('int64'), 'wall_h': Value('float64'), 'cum_cost': Value('float64'), 'errors': Value('int64')}
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.
SE-Gym R1 corpus (PRIVATE — pre-registration artifact)
Teacher-generated agent trajectories on SWE-Gym for the R1 SFT corpus (rejection-sampled resolved-only). See PROTOCOL.md v0.4. Do not make public before paper submission (§8.5).
Provenance
- teacher:
Qwen/Qwen3.5-27B@fc05daec18b0a78c049392ed2e771dde82bdf654 - SWE-Gym dataset revision:
bb94ed9e39bbeb96a7fcbfb533b80f25a7fd59cb - config freeze sha:
b7c3c612e21d7434993466e4473422c2422eed09df5665575748bf6fa9bb86a0 - code git sha:
b3f9c0f97c4fbf51b2505e272df6f6b903834421 - corpus run id:
01KXX7GZ4DQ2BHXEHQYVCJWWVX - generated at: 2026-07-20T18:35:08.934782+00:00
- resolved / total: 334 / 866
resolved_map_v2.json is the authoritative training-subset label: resolved AND scorer-validated (gold patch resolves, empty baseline fails) per scoring_audit.jsonl. resolved_map.json is the pre-audit label, kept for provenance. Sampling params and prompts are the frozen configs/ at the freeze sha above.
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