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
instance_id: string
model_patch: string
model_name_or_path: string
fixed_tests: null
p2p_tests: null
f2p_tests: null
s2p_tests: null
n2p_tests: null
fix_patch_result: struct<passed_count: int64, failed_count: int64, skipped_count: int64, passed_tests: list<item: stri (... 73 chars omitted)
child 0, passed_count: int64
child 1, failed_count: int64
child 2, skipped_count: int64
child 3, passed_tests: list<item: string>
child 0, item: string
child 4, failed_tests: list<item: string>
child 0, item: string
child 5, skipped_tests: list<item: string>
child 0, item: string
test_patch_result: struct<passed_count: int64, failed_count: int64, skipped_count: int64, passed_tests: list<item: stri (... 73 chars omitted)
child 0, passed_count: int64
child 1, failed_count: int64
child 2, skipped_count: int64
child 3, passed_tests: list<item: string>
child 0, item: string
child 4, failed_tests: list<item: string>
child 0, item: string
child 5, skipped_tests: list<item: string>
child 0, item: string
error_msg: string
resolved_issues: list<item: struct<number: int64, title: string, body: string>>
child 0, item: struct<number: int64, title: string, body: string>
child 0, number: int64
child 1, title: string
child 2, body: string
test_patch: string
body: string
title: string
state: string
fix_patch: string
org: string
repo: string
run_result: struct<passed_count: int64, failed_count: int64, skipped_count: int64, passed_tests: list<item: stri (... 73 chars omitted)
child 0, passed_count: int64
child 1, failed_count: int64
child 2, skipped_count: int64
child 3, passed_tests: list<item: string>
child 0, item: string
child 4, failed_tests: list<item: string>
child 0, item: string
child 5, skipped_tests: list<item: string>
child 0, item: string
number: int64
base: struct<label: string, ref: string, sha: string>
child 0, label: string
child 1, ref: string
child 2, sha: string
valid: bool
to
{'org': Value('string'), 'repo': Value('string'), 'number': Value('int64'), 'state': Value('string'), 'title': Value('string'), 'body': Value('string'), 'base': {'label': Value('string'), 'ref': Value('string'), 'sha': Value('string')}, 'resolved_issues': List({'number': Value('int64'), 'title': Value('string'), 'body': Value('string')}), 'fix_patch': Value('string'), 'test_patch': Value('string'), 'valid': Value('bool'), 'error_msg': Value('string'), 'fixed_tests': Json(decode=True), 'p2p_tests': Json(decode=True), 'f2p_tests': Json(decode=True), 's2p_tests': Json(decode=True), 'n2p_tests': Json(decode=True), 'run_result': {'passed_count': Value('int64'), 'failed_count': Value('int64'), 'skipped_count': Value('int64'), 'passed_tests': List(Value('string')), 'failed_tests': List(Value('string')), 'skipped_tests': List(Value('string'))}, 'test_patch_result': {'passed_count': Value('int64'), 'failed_count': Value('int64'), 'skipped_count': Value('int64'), 'passed_tests': List(Value('string')), 'failed_tests': List(Value('string')), 'skipped_tests': List(Value('string'))}, 'fix_patch_result': {'passed_count': Value('int64'), 'failed_count': Value('int64'), 'skipped_count': Value('int64'), 'passed_tests': List(Value('string')), 'failed_tests': List(Value('string')), 'skipped_tests': List(Value('string'))}, 'instance_id': 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
instance_id: string
model_patch: string
model_name_or_path: string
fixed_tests: null
p2p_tests: null
f2p_tests: null
s2p_tests: null
n2p_tests: null
fix_patch_result: struct<passed_count: int64, failed_count: int64, skipped_count: int64, passed_tests: list<item: stri (... 73 chars omitted)
child 0, passed_count: int64
child 1, failed_count: int64
child 2, skipped_count: int64
child 3, passed_tests: list<item: string>
child 0, item: string
child 4, failed_tests: list<item: string>
child 0, item: string
child 5, skipped_tests: list<item: string>
child 0, item: string
test_patch_result: struct<passed_count: int64, failed_count: int64, skipped_count: int64, passed_tests: list<item: stri (... 73 chars omitted)
child 0, passed_count: int64
child 1, failed_count: int64
child 2, skipped_count: int64
child 3, passed_tests: list<item: string>
child 0, item: string
child 4, failed_tests: list<item: string>
child 0, item: string
child 5, skipped_tests: list<item: string>
child 0, item: string
error_msg: string
resolved_issues: list<item: struct<number: int64, title: string, body: string>>
child 0, item: struct<number: int64, title: string, body: string>
child 0, number: int64
child 1, title: string
child 2, body: string
test_patch: string
body: string
title: string
state: string
fix_patch: string
org: string
repo: string
run_result: struct<passed_count: int64, failed_count: int64, skipped_count: int64, passed_tests: list<item: stri (... 73 chars omitted)
child 0, passed_count: int64
child 1, failed_count: int64
child 2, skipped_count: int64
child 3, passed_tests: list<item: string>
child 0, item: string
child 4, failed_tests: list<item: string>
child 0, item: string
child 5, skipped_tests: list<item: string>
child 0, item: string
number: int64
base: struct<label: string, ref: string, sha: string>
child 0, label: string
child 1, ref: string
child 2, sha: string
valid: bool
to
{'org': Value('string'), 'repo': Value('string'), 'number': Value('int64'), 'state': Value('string'), 'title': Value('string'), 'body': Value('string'), 'base': {'label': Value('string'), 'ref': Value('string'), 'sha': Value('string')}, 'resolved_issues': List({'number': Value('int64'), 'title': Value('string'), 'body': Value('string')}), 'fix_patch': Value('string'), 'test_patch': Value('string'), 'valid': Value('bool'), 'error_msg': Value('string'), 'fixed_tests': Json(decode=True), 'p2p_tests': Json(decode=True), 'f2p_tests': Json(decode=True), 's2p_tests': Json(decode=True), 'n2p_tests': Json(decode=True), 'run_result': {'passed_count': Value('int64'), 'failed_count': Value('int64'), 'skipped_count': Value('int64'), 'passed_tests': List(Value('string')), 'failed_tests': List(Value('string')), 'skipped_tests': List(Value('string'))}, 'test_patch_result': {'passed_count': Value('int64'), 'failed_count': Value('int64'), 'skipped_count': Value('int64'), 'passed_tests': List(Value('string')), 'failed_tests': List(Value('string')), 'skipped_tests': List(Value('string'))}, 'fix_patch_result': {'passed_count': Value('int64'), 'failed_count': Value('int64'), 'skipped_count': Value('int64'), 'passed_tests': List(Value('string')), 'failed_tests': List(Value('string')), 'skipped_tests': List(Value('string'))}, 'instance_id': 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.