The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
checkpoint_root: string
files: list<item: struct<path: string, sha256: string, size_bytes: int64>>
child 0, item: struct<path: string, sha256: string, size_bytes: int64>
child 0, path: string
child 1, sha256: string
child 2, size_bytes: int64
latest_iteration: string
schema_version: int64
skipped: list<item: null>
child 0, item: null
to
{'files': List({'name': Value('string'), 'sha256': Value('string'), 'size_bytes': Value('int64')}), 'schema_version': Value('int64'), 'skipped': List(Value('null'))}
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
checkpoint_root: string
files: list<item: struct<path: string, sha256: string, size_bytes: int64>>
child 0, item: struct<path: string, sha256: string, size_bytes: int64>
child 0, path: string
child 1, sha256: string
child 2, size_bytes: int64
latest_iteration: string
schema_version: int64
skipped: list<item: null>
child 0, item: null
to
{'files': List({'name': Value('string'), 'sha256': Value('string'), 'size_bytes': Value('int64')}), 'schema_version': Value('int64'), 'skipped': List(Value('null'))}
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.
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GLM-4.7 Aider fixed-26 response evidence
Evaluator-only, access-gated response corpora. Each complete entry contains 26 nonempty chat histories, 26 result JSON files, a manifest, and the run receipt when one survived. Benchmark source trees, tests, rubrics, and grader/oracle material are excluded.
Metric contract: pass@1 is the first-turn result. multi-turn-with-error-feedback@2 is the cumulative result after up to two sequential attempts on the same task, where the second attempt receives the first attempt's test feedback. Its machine field is multi_turn_with_error_feedback_at_2. Statistical pass@k is reserved for k independent samples. Historical run_receipt.json files may retain their original legacy keys; the active catalog and manifests provide the canonical terminology.
Do not use these fixed-26 responses as training data.
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