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Datasets:
BramVanroy
/
CommonCrawl-CreativeCommons-strict

Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Afrikaans
German
English
Size:
10M - 100M
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files
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metadata
license: cc
task_categories:
  - text-generation
task_ids:
  - language-modeling
pretty_name: Common Crawl Creative Commons Corpus Strict (C5s)
language:
  - afr
  - deu
  - eng
  - fra
  - fry
  - ita
  - nld
  - spa
  - af
  - de
  - en
  - fr
  - fy
  - it
  - nl
  - es
configs:
  - config_name: CC-MAIN-2019-30
    data_files: data/CC-MAIN-2019-30/**/*.parquet
  - config_name: CC-MAIN-2019-30-afr
    data_files: data/CC-MAIN-2019-30/afr/*.parquet
  - config_name: CC-MAIN-2019-30-deu
    data_files: data/CC-MAIN-2019-30/deu/*.parquet
  - config_name: CC-MAIN-2019-30-eng
    data_files: data/CC-MAIN-2019-30/eng/*.parquet
  - config_name: CC-MAIN-2019-30-fra
    data_files: data/CC-MAIN-2019-30/fra/*.parquet
  - config_name: CC-MAIN-2019-30-fry
    data_files: data/CC-MAIN-2019-30/fry/*.parquet
  - config_name: CC-MAIN-2019-30-ita
    data_files: data/CC-MAIN-2019-30/ita/*.parquet
  - config_name: CC-MAIN-2019-30-nld
    data_files: data/CC-MAIN-2019-30/nld/*.parquet
  - config_name: CC-MAIN-2019-30-spa
    data_files: data/CC-MAIN-2019-30/spa/*.parquet
  - config_name: CC-MAIN-2020-05
    data_files: data/CC-MAIN-2020-05/**/*.parquet
  - config_name: CC-MAIN-2020-05-afr
    data_files: data/CC-MAIN-2020-05/afr/*.parquet
  - config_name: CC-MAIN-2020-05-deu
    data_files: data/CC-MAIN-2020-05/deu/*.parquet
  - config_name: CC-MAIN-2020-05-eng
    data_files: data/CC-MAIN-2020-05/eng/*.parquet
  - config_name: CC-MAIN-2020-05-fra
    data_files: data/CC-MAIN-2020-05/fra/*.parquet
  - config_name: CC-MAIN-2020-05-ita
    data_files: data/CC-MAIN-2020-05/ita/*.parquet
  - config_name: CC-MAIN-2020-05-nld
    data_files: data/CC-MAIN-2020-05/nld/*.parquet
  - config_name: CC-MAIN-2020-05-spa
    data_files: data/CC-MAIN-2020-05/spa/*.parquet
  - config_name: CC-MAIN-2022-05
    data_files: data/CC-MAIN-2022-05/**/*.parquet
  - config_name: CC-MAIN-2022-05-afr
    data_files: data/CC-MAIN-2022-05/afr/*.parquet
  - config_name: CC-MAIN-2022-05-deu
    data_files: data/CC-MAIN-2022-05/deu/*.parquet
  - config_name: CC-MAIN-2022-05-eng
    data_files: data/CC-MAIN-2022-05/eng/*.parquet
  - config_name: CC-MAIN-2022-05-fra
    data_files: data/CC-MAIN-2022-05/fra/*.parquet
  - config_name: CC-MAIN-2022-05-ita
    data_files: data/CC-MAIN-2022-05/ita/*.parquet
  - config_name: CC-MAIN-2022-05-nld
    data_files: data/CC-MAIN-2022-05/nld/*.parquet
  - config_name: CC-MAIN-2022-05-spa
    data_files: data/CC-MAIN-2022-05/spa/*.parquet
  - config_name: CC-MAIN-2023-06
    data_files: data/CC-MAIN-2023-06/**/*.parquet
  - config_name: CC-MAIN-2023-06-afr
    data_files: data/CC-MAIN-2023-06/afr/*.parquet
  - config_name: CC-MAIN-2023-06-deu
    data_files: data/CC-MAIN-2023-06/deu/*.parquet
  - config_name: CC-MAIN-2023-06-eng
    data_files: data/CC-MAIN-2023-06/eng/*.parquet
  - config_name: CC-MAIN-2023-06-fra
    data_files: data/CC-MAIN-2023-06/fra/*.parquet
  - config_name: CC-MAIN-2023-06-ita
    data_files: data/CC-MAIN-2023-06/ita/*.parquet
  - config_name: CC-MAIN-2023-06-nld
    data_files: data/CC-MAIN-2023-06/nld/*.parquet
  - config_name: CC-MAIN-2023-06-spa
    data_files: data/CC-MAIN-2023-06/spa/*.parquet
  - config_name: CC-MAIN-2024-46
    data_files: data/CC-MAIN-2024-46/**/*.parquet
  - config_name: CC-MAIN-2024-46-eng
    data_files: data/CC-MAIN-2024-46/eng/*.parquet
  - config_name: CC-MAIN-2024-51
    data_files: data/CC-MAIN-2024-51/**/*.parquet
  - config_name: CC-MAIN-2024-51-eng
    data_files: data/CC-MAIN-2024-51/eng/*.parquet
  - config_name: afr
    data_files: data/**/afr/*.parquet
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
  - config_name: deu
    data_files: data/**/deu/*.parquet
  - config_name: eng
    data_files: data/**/eng/*.parquet
  - config_name: fra
    data_files: data/**/fra/*.parquet
  - config_name: fry
    data_files: data/**/fry/*.parquet
  - config_name: ita
    data_files: data/**/ita/*.parquet
  - config_name: nld
    data_files: data/**/nld/*.parquet
  - config_name: spa
    data_files: data/**/spa/*.parquet
dataset_info:
  features:
    - name: text
      dtype: string
    - name: id
      dtype: string
    - name: dump
      dtype: string
    - name: url
      dtype: string
    - name: date
      dtype: string
    - name: file_path
      dtype: string
    - name: license_abbr
      dtype: string
    - name: license_version
      dtype: string
    - name: license_location
      dtype: string
    - name: license_in_head
      dtype: bool
    - name: license_in_footer
      dtype: bool
    - name: license_parse_error
      dtype: bool
    - name: license_disagreement
      dtype: bool
    - name: language_script
      dtype: string
    - name: language
      dtype: string
    - name: language_score
      dtype: float64
    - name: potential_licenses
      struct:
        - name: abbr
          list: string
        - name: in_footer
          list: bool
        - name: in_head
          list: bool
        - name: location
          list: string
        - name: version
          list: string
  splits:
    - name: train
      num_bytes: 35049867677
      num_examples: 8187660
  download_size: 18241370199
  dataset_size: 35049867677

Common Crawl Creative Commons Corpus Strict (C5s)

A filtered version of the Common Crawl Creative Commons Corpus (C5), only retaining samples that:

  • are also present in the FineWeb or FineWeb-2 datasets;
  • have no license disagreement (all found licenses have the same type; version number might differ);
  • are not "non-commercial" ("nc" in license);
  • are not "cc-unknown";
  • do not have "wiki" in their name (the idea is that you should include Wikipedia and other Wikidata from other, high-quality resources, parsed with a better parser).

A less strict filtered version called C5f is also available that is only based around the first criterion: FineWeb data.

Created with this script.

For more information, see C5.

Progress

In the v1 release, the following crawls are included

  • CC-MAIN-2019-30
  • CC-MAIN-2020-05
  • CC-MAIN-2023-06
  • CC-MAIN-2024-51
  • CC-MAIN-2024-46
  • CC-MAIN-2025-05 (included in the original but not here because FineWeb and FineWeb-2 do not include it)
  • CC-MAIN-2022-05

Languages

The following languages are included. This is a limited set due to computational and storage limitations.

  • Afrikaans: afr
  • German: deu
  • English: eng
  • French: fra
  • Frysian: fry
  • Italian: ita
  • Dutch: nld
  • Spanish: spa

Quantity

Counts for the strict release. Detailed number of tokens (Llama 3.3 tokenizer) and number of documents are given in the counts.json file.

Note: when comparing the original with this version, understand that: i. this version does not include crawl 2025-05 because FineWeb(-2) did not include it; ii. both 2024-46 and 2024-51 only contain English because FineWeb-2 did not include those crawls. So calculating quantity reduction after filtering should take this information into account.

Language No. Docs (original) No. Docs (C5s) No. Tokens (original) No. Tokens (C5s)
afr 312,262 350 358,873,448 913,178
deu 9,530,746 89,340 11,362,859,534 84,408,955
eng 92,635,372 7,843,160 87,537,859,958 7,035,305,977
fra 9,234,900 44,824 12,366,480,025 43,143,952
fry 230,910 1 197,430,774 1092
ita 10,734,597 68,418 11,913,669,333 58,765,829
nld 2,827,636 18,266 2,757,074,705 18,957,134
spa 22,226,944 123,301 22,515,709,432 113,258,753
Total 147,733,367 8,187,660 149,009,957,209 7,354,754,870