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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
ctx_ids: list<element: int64>
  child 0, element: int64
input_ids: list<element: list<element: int64>>
  child 0, element: list<element: int64>
      child 0, element: int64
response_start_end: list<element: list<element: int64>>
  child 0, element: list<element: int64>
      child 0, element: int64
to
{'context': Value('string'), 'prompt': Value('string'), 'response': Value('string'), 'suffix': Value('string'), 'source_prefix': Value('string'), 'source_file': Value('string'), 'source_row_index': Value('int64'), 'ctx_tokens_qwen35': Value('int64'), 'prompt_tokens_qwen35': Value('int64'), 'response_tokens_qwen35': Value('int64'), 'suffix_tokens_qwen35': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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
              ctx_ids: list<element: int64>
                child 0, element: int64
              input_ids: list<element: list<element: int64>>
                child 0, element: list<element: int64>
                    child 0, element: int64
              response_start_end: list<element: list<element: int64>>
                child 0, element: list<element: int64>
                    child 0, element: int64
              to
              {'context': Value('string'), 'prompt': Value('string'), 'response': Value('string'), 'suffix': Value('string'), 'source_prefix': Value('string'), 'source_file': Value('string'), 'source_row_index': Value('int64'), 'ctx_tokens_qwen35': Value('int64'), 'prompt_tokens_qwen35': Value('int64'), 'response_tokens_qwen35': Value('int64'), 'suffix_tokens_qwen35': Value('int64')}
              because column names don't match

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doc2lora_full_p0p1 (Qwen3.5-4B) datasets

Two document-to-LoRA (doc2lora) continual-learning pretraining datasets, sharing the same p0_pwc_compact shard layout (train/*.parquet + manifest.json).

Subfolders

doc2lora_full_p0p1_text_v1/

Plain-text fields (context/prompt/response/suffix) plus Qwen3.5-4B token id lists (*_tokens_qwen35) for arbitrary-model re-tokenization.

  • 3287 parquet shards, ~7.7 GB.

doc2lora_full_p0p1_ce_qwen35tok_v1/

CE-tokenized variant for Qwen3.5-4B (ready-to-use token ids).

  • 3287 parquet shards, ~12 GB.

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