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
meta: struct<source: string, category: string, prompt_hash: string, token_length: int64, assistant_token_l (... 36 chars omitted)
child 0, source: string
child 1, category: string
child 2, prompt_hash: string
child 3, token_length: int64
child 4, assistant_token_length: int64
child 5, length_bucket: string
val: struct<count: int64, bucket_counts: struct<short: int64, medium: int64, long: int64>, source_counts: (... 231 chars omitted)
child 0, count: int64
child 1, bucket_counts: struct<short: int64, medium: int64, long: int64>
child 0, short: int64
child 1, medium: int64
child 2, long: int64
child 2, source_counts: struct<NuminaMath-CoT: int64, OpenMathReasoning: int64>
child 0, NuminaMath-CoT: int64
child 1, OpenMathReasoning: int64
child 3, token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
child 0, min: int64
child 1, p50: int64
child 2, p90: int64
child 3, p95: int64
child 4, max: int64
child 4, assistant_token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
child 0, min: int64
child 1, p50: int64
child 2, p90: int64
child 3, p95: int64
child 4, max: int64
train: struct<count: int64, bucket_counts: struct<short: int64, medium: int64, long: int64>, source_counts: (... 231 chars omitted)
child 0, count: int64
child 1, bucket_counts: struct<short: int64, medium: int64, long: int64>
child 0, short: int64
child 1, medium: int64
child 2, long: int64
child 2, source_counts: struct<OpenMathReasoning: int64, NuminaMath-CoT: int64>
child 0, OpenMathReasoning: int64
child 1, NuminaMath-CoT: int64
child 3, token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
child 0, min: int64
child 1, p50: int64
child 2, p90: int64
child 3, p95: int64
child 4, max: int64
child 4, assistant_token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
child 0, min: int64
child 1, p50: int64
child 2, p90: int64
child 3, p95: int64
child 4, max: int64
to
{'train': {'count': Value('int64'), 'bucket_counts': {'short': Value('int64'), 'medium': Value('int64'), 'long': Value('int64')}, 'source_counts': {'OpenMathReasoning': Value('int64'), 'NuminaMath-CoT': Value('int64')}, 'token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': Value('int64')}, 'assistant_token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': Value('int64')}}, 'val': {'count': Value('int64'), 'bucket_counts': {'short': Value('int64'), 'medium': Value('int64'), 'long': Value('int64')}, 'source_counts': {'NuminaMath-CoT': Value('int64'), 'OpenMathReasoning': Value('int64')}, 'token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': Value('int64')}, 'assistant_token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': 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(
^^^^^^^^^
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/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
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
meta: struct<source: string, category: string, prompt_hash: string, token_length: int64, assistant_token_l (... 36 chars omitted)
child 0, source: string
child 1, category: string
child 2, prompt_hash: string
child 3, token_length: int64
child 4, assistant_token_length: int64
child 5, length_bucket: string
val: struct<count: int64, bucket_counts: struct<short: int64, medium: int64, long: int64>, source_counts: (... 231 chars omitted)
child 0, count: int64
child 1, bucket_counts: struct<short: int64, medium: int64, long: int64>
child 0, short: int64
child 1, medium: int64
child 2, long: int64
child 2, source_counts: struct<NuminaMath-CoT: int64, OpenMathReasoning: int64>
child 0, NuminaMath-CoT: int64
child 1, OpenMathReasoning: int64
child 3, token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
child 0, min: int64
child 1, p50: int64
child 2, p90: int64
child 3, p95: int64
child 4, max: int64
child 4, assistant_token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
child 0, min: int64
child 1, p50: int64
child 2, p90: int64
child 3, p95: int64
child 4, max: int64
train: struct<count: int64, bucket_counts: struct<short: int64, medium: int64, long: int64>, source_counts: (... 231 chars omitted)
child 0, count: int64
child 1, bucket_counts: struct<short: int64, medium: int64, long: int64>
child 0, short: int64
child 1, medium: int64
child 2, long: int64
child 2, source_counts: struct<OpenMathReasoning: int64, NuminaMath-CoT: int64>
child 0, OpenMathReasoning: int64
child 1, NuminaMath-CoT: int64
child 3, token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
child 0, min: int64
child 1, p50: int64
child 2, p90: int64
child 3, p95: int64
child 4, max: int64
child 4, assistant_token_length: struct<min: int64, p50: int64, p90: int64, p95: int64, max: int64>
child 0, min: int64
child 1, p50: int64
child 2, p90: int64
child 3, p95: int64
child 4, max: int64
to
{'train': {'count': Value('int64'), 'bucket_counts': {'short': Value('int64'), 'medium': Value('int64'), 'long': Value('int64')}, 'source_counts': {'OpenMathReasoning': Value('int64'), 'NuminaMath-CoT': Value('int64')}, 'token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': Value('int64')}, 'assistant_token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': Value('int64')}}, 'val': {'count': Value('int64'), 'bucket_counts': {'short': Value('int64'), 'medium': Value('int64'), 'long': Value('int64')}, 'source_counts': {'NuminaMath-CoT': Value('int64'), 'OpenMathReasoning': Value('int64')}, 'token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': Value('int64')}, 'assistant_token_length': {'min': Value('int64'), 'p50': Value('int64'), 'p90': Value('int64'), 'p95': Value('int64'), 'max': 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.
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