Dataset Viewer
Auto-converted to Parquet Duplicate
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
original: string
prompt: struct<chat_turns: list<element: string>, use_multiturn: bool, examples: list<element: list<element: (... 49 chars omitted)
  child 0, chat_turns: list<element: string>
      child 0, element: string
  child 1, use_multiturn: bool
  child 2, examples: list<element: list<element: string>>
      child 0, element: list<element: string>
          child 0, element: string
  child 3, metadata: struct<PROMPT_TYPE: string>
      child 0, PROMPT_TYPE: string
response_0: string
final_response: string
generator_model: string
generation_params: string
deviated_lines_proportion: double
deviated_lines: int64
deviated_words_proportion: double
deviated_words: int64
deviated_characters_proportion: double
deviated_characters: int64
is_loose_subset: bool
collected_subset: string
is_strict_subset: bool
deviated_lines_proportion_quantile: double
deviated_words_proportion_quantile: double
deviated_characters_proportion_quantile: double
-- schema metadata --
huggingface: '{"info": {"features": {"original": {"dtype": "string", "_ty' + 1368
to
{'original': Value('string'), 'prompt': {'chat_turns': List(Value('string')), 'use_multiturn': Value('bool'), 'examples': List(List(Value('string'))), 'metadata': {'PROMPT_TYPE': Value('string')}}, 'response_0': Value('string'), 'final_response': Value('string'), 'generator_model': Value('string'), 'generation_params': 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/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
              original: string
              prompt: struct<chat_turns: list<element: string>, use_multiturn: bool, examples: list<element: list<element: (... 49 chars omitted)
                child 0, chat_turns: list<element: string>
                    child 0, element: string
                child 1, use_multiturn: bool
                child 2, examples: list<element: list<element: string>>
                    child 0, element: list<element: string>
                        child 0, element: string
                child 3, metadata: struct<PROMPT_TYPE: string>
                    child 0, PROMPT_TYPE: string
              response_0: string
              final_response: string
              generator_model: string
              generation_params: string
              deviated_lines_proportion: double
              deviated_lines: int64
              deviated_words_proportion: double
              deviated_words: int64
              deviated_characters_proportion: double
              deviated_characters: int64
              is_loose_subset: bool
              collected_subset: string
              is_strict_subset: bool
              deviated_lines_proportion_quantile: double
              deviated_words_proportion_quantile: double
              deviated_characters_proportion_quantile: double
              -- schema metadata --
              huggingface: '{"info": {"features": {"original": {"dtype": "string", "_ty' + 1368
              to
              {'original': Value('string'), 'prompt': {'chat_turns': List(Value('string')), 'use_multiturn': Value('bool'), 'examples': List(List(Value('string'))), 'metadata': {'PROMPT_TYPE': Value('string')}}, 'response_0': Value('string'), 'final_response': Value('string'), 'generator_model': Value('string'), 'generation_params': Value('string')}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Auto-Generated FastDetector Dataset

  • Model Name: google/gemma-4-E4B-it

  • Temperature: 0.0

  • Top P: 1.0

  • Top K: None

  • Presence Penalty: 0.0

  • Disable Thinking: None

  • Prompt File: prompts/filter_contiguous_subset.json

  • Total Train Prompts: 1

  • Source Dataset: G-reen/cc-2021-raw

  • Source Column: trafilatura_text

  • Target Num Samples: 1000

  • Total Input Tokens Processed: 3615909

  • Total Output Tokens Processed: 749810

  • Target Dataset: G-reen/cc-2021-processed-small

  • Total Runtime: 1625.70 seconds

  • Engine: vllm

Auto-Generated FastDetector Dataset

  • Model Name: google/gemma-4-E4B-it

  • Temperature: 0.0

  • Top P: 1.0

  • Top K: None

  • Presence Penalty: 0.0

  • Disable Thinking: None

  • Prompt File: prompts/filter_contiguous_subset.json

  • Total Train Prompts: 1

  • Source Dataset: G-reen/cc-2021-raw

  • Source Column: trafilatura_text

  • Target Num Samples: 1000

  • Total Input Tokens Processed: 3615909

  • Total Output Tokens Processed: 749810

  • Target Dataset: G-reen/cc-2021-processed-small

  • Total Runtime: 1625.70 seconds

  • Engine: vllm

Metrics Added (config: default)

  • Deviated lines, words, characters (proportion + raw count)
  • Loose and strict subset checks
  • Quantiles for deviated_*_proportion columns
  • Total rows: 1000
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