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jbduran
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think-dataset-clean-1930s

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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
copyright_post_1930: string
email_addr: string
gutenberg_license: string
isbn: string
loc_cip: string
modern_year_reserved: string
printed_usa_modern: string
url_dotcom: string
url_http: string
url_www: string
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
              copyright_post_1930: string
              email_addr: string
              gutenberg_license: string
              isbn: string
              loc_cip: string
              modern_year_reserved: string
              printed_usa_modern: string
              url_dotcom: string
              url_http: string
              url_www: string
              text: string
              to
              {'text': Value('string')}
              because column names don't match

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think-dataset-clean-1930s

jbduran/think-dataset-clean with a tiered anachronism keyword filter applied. A document is dropped only on strong evidence of post-1930 content, which avoids polysemy false positives (e.g. "compiler of this volume", bee "drone", birdsong "twitter", the Black Hole of Calcutta):

  • Tier 1 (141) — coined well after 1930; one hit drops the document.

  • Tier 2 (262) — real anachronisms; need ≥2 distinct tier-2/3 hits (≥1 tier-2) to drop.

  • Tier 3 (43) — polysemous / has a pre-1931 sense; never drops alone, only corroborates.

  • Strip-only (17) + format tells — reproduction/boilerplate (URLs, "all rights reserved", "photocopy"); never drops, only logged.

  • Banned list size: 463 terms (+ format-tell patterns)

  • Shards completed: 473

  • Input documents: 149,745

  • Kept: 146,031 (97.52%)

  • Removed: 3,714 (2.48%)

  • Kept characters: 96.73%

Stage 0.5 — footer / boilerplate stripping (runs before the filter)

Before the anachronism filter, a line-level pass removes reprint/OCR footer lines (URLs, "printed in the United States of America", "all rights reserved", photocopy / print-on-demand colophons, ISBN lines, bare page numbers, library stamps) from each document, writing the stripped corpus to stripped/. Whole books are kept; only footer lines are removed. Docs that would lose more than 30% of their lines are kept unstripped and flagged.

  • Shards stripped: 473
  • Docs changed: 20,671 / 149,745
  • Docs flagged (kept unstripped): 0
  • Footer lines removed: 31,761
  • Characters removed: 0.00%

Top footer patterns:

  • page_num_bare: 18,433
  • modern_year_reserved: 7,324
  • printed_usa_modern: 1,977
  • pod_preservation_photocopy: 1,237
  • url_http: 716
  • pod_ansi_paper: 619
  • pod_laser: 474
  • pod_acid_free_archival: 265
  • lib_ex_libris: 263
  • copyright_post_1930: 174
  • url_www: 145
  • url_dotcom: 88
  • isbn: 29
  • repro_this_was_produced: 16
  • pod_lightning: 1

Artifacts: _banned/ (list + allow-list + audit), stripped/ (footer-stripped corpus), strip_stats/ + strip_samples/ (footer audit), stats/ (per-shard filter counts), hits/ (per-shard hit log), scripts/ (the pipeline).

Top firing terms:

  • compiler: 515
  • hardware: 461
  • nagasaki: 442
  • gaming: 413
  • mcdonald's: 375
  • cia: 342
  • drone: 238
  • nato: 204
  • satellite: 203
  • rna: 172
  • twitter: 159
  • new deal: 150
  • dna: 145
  • dvd: 145
  • c#: 128
  • holocaust: 117
  • mcdonalds: 115
  • css: 105
  • black hole: 104
  • hiroshima: 102
  • blog: 101
  • united nations: 98
  • dark matter: 98
  • php: 86
  • fax: 83
  • great depression: 71
  • nasa: 71
  • maser: 66
  • iron curtain: 65
  • 9/11: 63
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