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
attempt_index: int64
job_id: large_string
created_at: timestamp[us, tz=UTC]
stage: large_string
failure_type: large_string
failure_summary: large_string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 822
to
{'attempt_index': Value('int64'), 'job_id': Value('large_string'), 'created_at': Value('timestamp[us, tz=UTC]'), 'stage': Value('large_string'), 'classification': Value('large_string'), 'config': Value('large_string'), 'batch': Value('int64'), 'seq_len': Value('int64'), 'hidden_size': Value('int64'), 'custom_ms': Value('float64'), 'custom_min_ms': Value('float64'), 'custom_std_ms': Value('float64'), 'pytorch_ms': Value('float64'), 'pytorch_min_ms': Value('float64'), 'pytorch_std_ms': Value('float64'), 'speedup': Value('float64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 209, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
attempt_index: int64
job_id: large_string
created_at: timestamp[us, tz=UTC]
stage: large_string
failure_type: large_string
failure_summary: large_string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 822
to
{'attempt_index': Value('int64'), 'job_id': Value('large_string'), 'created_at': Value('timestamp[us, tz=UTC]'), 'stage': Value('large_string'), 'classification': Value('large_string'), 'config': Value('large_string'), 'batch': Value('int64'), 'seq_len': Value('int64'), 'hidden_size': Value('int64'), 'custom_ms': Value('float64'), 'custom_min_ms': Value('float64'), 'custom_std_ms': Value('float64'), 'pytorch_ms': Value('float64'), 'pytorch_min_ms': Value('float64'), 'pytorch_std_ms': Value('float64'), 'speedup': Value('float64')}
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.
Qwen3.5-0.8B RMSNorm Experiment Dataset
This dataset captures every observed Hugging Face Jobs run for the qwen3_5_0_8b_rmsnorm benchmark family.
Files
runs.parquet: one row per HF Jobs attempt with run-level metrics and derived classifications.microbenchmarks.parquet: one row per shape per completed run.run_failures.parquet: normalized failure causes for the non-successful attempts.experiment.duckdb: a portable DuckDB database with the same tables plus convenience views.raw_logs/: the originalhf jobs logsoutput for each job id.reports/: extracted benchmark reports for completed runs.analysis_summary.md: a concise markdown report generated from SQL over the DuckDB database.sql_examples.sql: example queries used in the report and the HF Space.
Derived fields
classification=semantics_correct: the run passed correctness and its patched transformer output stayed within the benchmark tolerance.classification=fast_but_semantically_incorrect: the run completed and benchmarked well, but the patched transformer path drifted too far from the baseline.failure_type: a normalized category for non-successful attempts.
Row counts
- runs: 6
- completed runs: 3
- semantics-correct runs: 1
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