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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
estimated_prior_removed_pct: double
high: double
low: double
mean_log_prior_percentiles: struct<1: double, 10: double, 2.5: double, 25: double, 5: double, 50: double, 75: double, 90: double (... 39 chars omitted)
child 0, 1: double
child 1, 10: double
child 2, 2.5: double
child 3, 25: double
child 4, 5: double
child 5, 50: double
child 6, 75: double
child 7, 90: double
child 8, 95: double
child 9, 97.5: double
child 10, 99: double
prior_band: list<item: double>
child 0, item: double
sample_prior_docs: int64
sample_raw_docs_seen: int64
sample_structural_kept: int64
sample_structural_removed: struct<ocr_artifacts: int64>
child 0, ocr_artifacts: int64
text: string
to
{'text': 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 478, 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
estimated_prior_removed_pct: double
high: double
low: double
mean_log_prior_percentiles: struct<1: double, 10: double, 2.5: double, 25: double, 5: double, 50: double, 75: double, 90: double (... 39 chars omitted)
child 0, 1: double
child 1, 10: double
child 2, 2.5: double
child 3, 25: double
child 4, 5: double
child 5, 50: double
child 6, 75: double
child 7, 90: double
child 8, 95: double
child 9, 97.5: double
child 10, 99: double
prior_band: list<item: double>
child 0, item: double
sample_prior_docs: int64
sample_raw_docs_seen: int64
sample_structural_kept: int64
sample_structural_removed: struct<ocr_artifacts: int64>
child 0, ocr_artifacts: int64
text: string
to
{'text': 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.
think-dataset-clean
Cleaned version of jbduran/think-dataset, produced with a Colab notebook based on Michael Hla's Machina Mirabilis / gpt1900 filtering approach.
Design choices:
- Whole books are preserved as rows.
- The post-1900 physics keyword filter is skipped because this dataset intentionally keeps texts up to the 1930s.
- A moderate GPT-2 token log-prior band is used: p2.5-p97.5.
- Each source shard maps to one output shard of the same basename.
Current report:
- Shards completed: 473
- Input documents seen: 160,263
- Kept documents: 149,745 (93.44%)
- Removed documents: 10,518 (6.56%)
- Kept characters vs raw: 89.50%
Removal reasons:
- prior_high: 3,991
- prior_low: 3,838
- ocr_artifacts: 2,689
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