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
runs: list<item: struct<run_id: string, kind: string, name: string, hidden: bool, timestamp: string, model (... 1155 chars omitted)
child 0, item: struct<run_id: string, kind: string, name: string, hidden: bool, timestamp: string, model: string, b (... 1143 chars omitted)
child 0, run_id: string
child 1, kind: string
child 2, name: string
child 3, hidden: bool
child 4, timestamp: string
child 5, model: string
child 6, benchmarks: struct<score: double, suite_breakdown: struct<ecommerce: struct<score: double, tasks_passed: int64, (... 488 chars omitted)
child 0, score: double
child 1, suite_breakdown: struct<ecommerce: struct<score: double, tasks_passed: int64, tasks_total: int64>, notes: struct<scor (... 194 chars omitted)
child 0, ecommerce: struct<score: double, tasks_passed: int64, tasks_total: int64>
child 0, score: double
child 1, tasks_passed: int64
child 2, tasks_total: int64
child 1, notes: struct<score: double, tasks_passed: int64, tasks_total: int64>
child 0, score: double
child 1, tasks_passed: int64
child 2, tasks_total: int64
child 2, barber: struct<score: double, tasks_passed: int64, tasks_total: int64>
child 0, score: double
child 1, tasks_passed: int64
child 2, tasks_total: int64
chi
...
pass_rate: double
child 7, target_url: string
child 8, har_file: string
child 9, vus: int64
child 10, duration_s: double
child 11, summary: struct<total_requests: int64, success_rate_pct: double, p50_ms: double, p95_ms: double, p99_ms: doub (... 173 chars omitted)
child 0, total_requests: int64
child 1, success_rate_pct: double
child 2, p50_ms: double
child 3, p95_ms: double
child 4, p99_ms: double
child 5, apdex: double
child 6, total_rps: double
child 7, error_rate_pct: double
child 8, p999_ms: double
child 9, ttfb_ms: double
child 10, completion_p50_s: double
child 11, completion_p95_s: double
child 12, completion_p99_s: double
child 12, threshold_breach: struct<error_rate: bool, p95: bool, any: bool>
child 0, error_rate: bool
child 1, p95: bool
child 2, any: bool
child 13, iterations: int64
child 14, commit_sha: string
child 15, commit_changed_paths: list<item: string>
child 0, item: string
child 16, jac_version: string
child 17, plans_graded: int64
commits: list<item: struct<sha: string, short_sha: string, date: string, subject: string>>
child 0, item: struct<sha: string, short_sha: string, date: string, subject: string>
child 0, sha: string
child 1, short_sha: string
child 2, date: string
child 3, subject: string
to
{'commits': List({'sha': Value('string'), 'short_sha': Value('string'), 'date': Value('string'), 'subject': 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
runs: list<item: struct<run_id: string, kind: string, name: string, hidden: bool, timestamp: string, model (... 1155 chars omitted)
child 0, item: struct<run_id: string, kind: string, name: string, hidden: bool, timestamp: string, model: string, b (... 1143 chars omitted)
child 0, run_id: string
child 1, kind: string
child 2, name: string
child 3, hidden: bool
child 4, timestamp: string
child 5, model: string
child 6, benchmarks: struct<score: double, suite_breakdown: struct<ecommerce: struct<score: double, tasks_passed: int64, (... 488 chars omitted)
child 0, score: double
child 1, suite_breakdown: struct<ecommerce: struct<score: double, tasks_passed: int64, tasks_total: int64>, notes: struct<scor (... 194 chars omitted)
child 0, ecommerce: struct<score: double, tasks_passed: int64, tasks_total: int64>
child 0, score: double
child 1, tasks_passed: int64
child 2, tasks_total: int64
child 1, notes: struct<score: double, tasks_passed: int64, tasks_total: int64>
child 0, score: double
child 1, tasks_passed: int64
child 2, tasks_total: int64
child 2, barber: struct<score: double, tasks_passed: int64, tasks_total: int64>
child 0, score: double
child 1, tasks_passed: int64
child 2, tasks_total: int64
chi
...
pass_rate: double
child 7, target_url: string
child 8, har_file: string
child 9, vus: int64
child 10, duration_s: double
child 11, summary: struct<total_requests: int64, success_rate_pct: double, p50_ms: double, p95_ms: double, p99_ms: doub (... 173 chars omitted)
child 0, total_requests: int64
child 1, success_rate_pct: double
child 2, p50_ms: double
child 3, p95_ms: double
child 4, p99_ms: double
child 5, apdex: double
child 6, total_rps: double
child 7, error_rate_pct: double
child 8, p999_ms: double
child 9, ttfb_ms: double
child 10, completion_p50_s: double
child 11, completion_p95_s: double
child 12, completion_p99_s: double
child 12, threshold_breach: struct<error_rate: bool, p95: bool, any: bool>
child 0, error_rate: bool
child 1, p95: bool
child 2, any: bool
child 13, iterations: int64
child 14, commit_sha: string
child 15, commit_changed_paths: list<item: string>
child 0, item: string
child 16, jac_version: string
child 17, plans_graded: int64
commits: list<item: struct<sha: string, short_sha: string, date: string, subject: string>>
child 0, item: struct<sha: string, short_sha: string, date: string, subject: string>
child 0, sha: string
child 1, short_sha: string
child 2, date: string
child 3, subject: string
to
{'commits': List({'sha': Value('string'), 'short_sha': Value('string'), 'date': Value('string'), 'subject': 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.
No dataset card yet
- Downloads last month
- 4,576