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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
shard_id: int64
rows: int64
size_mb: double
compression: string
source_breakdown: struct<cosmopedia_v2: double, fineweb_edu: double, tiny_strange: double, tiny_textbooks: double, min (... 13 chars omitted)
  child 0, cosmopedia_v2: double
  child 1, fineweb_edu: double
  child 2, tiny_strange: double
  child 3, tiny_textbooks: double
  child 4, mini_en: double
created_at: string
run_name: string
curriculum: struct<enabled: bool, phase_row_targets: struct<1: int64, 2: int64, 3: int64>, stopping_strategy: st (... 5 chars omitted)
  child 0, enabled: bool
  child 1, phase_row_targets: struct<1: int64, 2: int64, 3: int64>
      child 0, 1: int64
      child 1, 2: int64
      child 2, 3: int64
  child 2, stopping_strategy: string
output_repo: string
source_stats: list<item: struct<alias: string, rows_seen: int64, rows_passed: int64, pass_rate: double, drop_lengt (... 81 chars omitted)
  child 0, item: struct<alias: string, rows_seen: int64, rows_passed: int64, pass_rate: double, drop_length: int64, d (... 69 chars omitted)
      child 0, alias: string
      child 1, rows_seen: int64
      child 2, rows_passed: int64
      child 3, pass_rate: double
      child 4, drop_length: int64
      child 5, drop_dedup: int64
      child 6, drop_rep: int64
      child 7, drop_empty: int64
      child 8, mb_out: double
completed_at: string
dry_run: bool
total_rows: int64
elapsed_min: double
total_shards: int64
to
{'run_name': Value('string'), 'completed_at': Value('string'), 'elapsed_min': Value('float64'), 'total_shards': Value('int64'), 'total_rows': Value('int64'), 'output_repo': Value('string'), 'curriculum': {'enabled': Value('bool'), 'phase_row_targets': {'1': Value('int64'), '2': Value('int64'), '3': Value('int64')}, 'stopping_strategy': Value('string')}, 'dry_run': Value('bool'), 'source_stats': List({'alias': Value('string'), 'rows_seen': Value('int64'), 'rows_passed': Value('int64'), 'pass_rate': Value('float64'), 'drop_length': Value('int64'), 'drop_dedup': Value('int64'), 'drop_rep': Value('int64'), 'drop_empty': Value('int64'), 'mb_out': Value('float64')})}
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
              shard_id: int64
              rows: int64
              size_mb: double
              compression: string
              source_breakdown: struct<cosmopedia_v2: double, fineweb_edu: double, tiny_strange: double, tiny_textbooks: double, min (... 13 chars omitted)
                child 0, cosmopedia_v2: double
                child 1, fineweb_edu: double
                child 2, tiny_strange: double
                child 3, tiny_textbooks: double
                child 4, mini_en: double
              created_at: string
              run_name: string
              curriculum: struct<enabled: bool, phase_row_targets: struct<1: int64, 2: int64, 3: int64>, stopping_strategy: st (... 5 chars omitted)
                child 0, enabled: bool
                child 1, phase_row_targets: struct<1: int64, 2: int64, 3: int64>
                    child 0, 1: int64
                    child 1, 2: int64
                    child 2, 3: int64
                child 2, stopping_strategy: string
              output_repo: string
              source_stats: list<item: struct<alias: string, rows_seen: int64, rows_passed: int64, pass_rate: double, drop_lengt (... 81 chars omitted)
                child 0, item: struct<alias: string, rows_seen: int64, rows_passed: int64, pass_rate: double, drop_length: int64, d (... 69 chars omitted)
                    child 0, alias: string
                    child 1, rows_seen: int64
                    child 2, rows_passed: int64
                    child 3, pass_rate: double
                    child 4, drop_length: int64
                    child 5, drop_dedup: int64
                    child 6, drop_rep: int64
                    child 7, drop_empty: int64
                    child 8, mb_out: double
              completed_at: string
              dry_run: bool
              total_rows: int64
              elapsed_min: double
              total_shards: int64
              to
              {'run_name': Value('string'), 'completed_at': Value('string'), 'elapsed_min': Value('float64'), 'total_shards': Value('int64'), 'total_rows': Value('int64'), 'output_repo': Value('string'), 'curriculum': {'enabled': Value('bool'), 'phase_row_targets': {'1': Value('int64'), '2': Value('int64'), '3': Value('int64')}, 'stopping_strategy': Value('string')}, 'dry_run': Value('bool'), 'source_stats': List({'alias': Value('string'), 'rows_seen': Value('int64'), 'rows_passed': Value('int64'), 'pass_rate': Value('float64'), 'drop_length': Value('int64'), 'drop_dedup': Value('int64'), 'drop_rep': Value('int64'), 'drop_empty': Value('int64'), 'mb_out': Value('float64')})}
              because column names don't match

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bison-data-v1

Curated pretraining dataset built by Phase 0 Bison pipeline.

Rows: 10,000,000 | Shards: 76 | Curriculum: True

Alias Source Phase Weight
fineweb_edu HuggingFaceFW/fineweb-edu Phase 1 0.5
cosmopedia_v2 HuggingFaceTB/smollm-corpus Phase 1 0.25
tiny_textbooks nampdn-ai/tiny-textbooks Phase 1 0.1
tiny_strange nampdn-ai/tiny-strange-textbooks Phase 1 0.08
mini_en nampdn-ai/mini-en Phase 1 0.07
finewiki HuggingFaceFW/finewiki Phase 2 1.0
arithmetic GODELEV/Arithmetic-1.5M Phase 3 0.35
tiny_math nampdn-ai/tiny-math-textbooks Phase 3 0.35
python_edu AxiomicLabs/NPset-2-Python-Edu Phase 3 0.3
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