README.md

---
dataset_info:
- config_name: OSCAR-2301
  features:
  - name: id
    dtype: int64
  - name: text
    dtype: string
  - name: meta
    struct:
    - name: categories
      sequence: string
    - name: dedup
      struct:
      - name: exact_norm
        struct:
        - name: cluster_main_idx
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        - name: cluster_size
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        - name: exact_hash_idx
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        - name: is_duplicate
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      - name: minhash
        struct:
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        - name: cluster_size
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        - name: is_duplicate
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        - name: minhash_idx
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    - name: harmful_pp
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    - name: identification
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      - name: prob
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    - name: quality_warnings
      sequence: string
    - name: sentence_identifications
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      - name: prob
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    - name: tlsh
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      - name: content-length
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      - name: content-type
        dtype: string
      - name: warc-block-digest
        dtype: string
      - name: warc-date
        dtype: string
      - name: warc-identified-content-language
        dtype: string
      - name: warc-record-id
        dtype: string
      - name: warc-refers-to
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      - name: warc-target-uri
        dtype: string
      - name: warc-type
        dtype: string
  splits:
  - name: train
    num_bytes: 127937389641
    num_examples: 18031400
  download_size: 68773837112
  dataset_size: 127937389641
- config_name: brwac
  features:
  - name: id
    dtype: int64
  - name: text
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  - name: meta
    struct:
    - name: dedup
      struct:
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        struct:
        - name: cluster_main_idx
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        - name: cluster_size
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        - name: exact_hash_idx
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        - name: is_duplicate
          dtype: bool
      - name: minhash
        struct:
        - name: cluster_main_idx
          dtype: int64
        - name: cluster_size
          dtype: int64
        - name: is_duplicate
          dtype: bool
        - name: minhash_idx
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    - name: doc_id
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    - name: title
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    - name: uri
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  splits:
  - name: train
    num_bytes: 18308163747
    num_examples: 3530796
  download_size: 11184800378
  dataset_size: 18308163747
- config_name: cc100
  features:
  - name: id
    dtype: int64
  - name: text
    dtype: string
  - name: meta
    struct:
    - name: dedup
      struct:
      - name: exact_norm
        struct:
        - name: cluster_main_idx
          dtype: int64
        - name: cluster_size
          dtype: int64
        - name: exact_hash_idx
          dtype: int64
        - name: is_duplicate
          dtype: bool
      - name: minhash
        struct:
        - name: cluster_main_idx
          dtype: int64
        - name: cluster_size
          dtype: int64
        - name: is_duplicate
          dtype: bool
        - name: minhash_idx
          dtype: int64
  splits:
  - name: train
    num_bytes: 55033381569
    num_examples: 38999388
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  dataset_size: 55033381569
configs:
- config_name: OSCAR-2301
  data_files:
  - split: train
    path: OSCAR-2301/train-*
- config_name: brwac
  data_files:
  - split: train
    path: brwac/train-*
- config_name: cc100
  data_files:
  - split: train
    path: cc100/train-*
license: cc-by-4.0
language:
- pt
pretty_name: C
---

# CrawlPT

CrawlPT is a generic Portuguese corpus extracted from various web pages.

This is the raw version. Deduplicated version is [available here](https://huggingface.co/datasets/eduagarcia/CrawlPT_dedup).

## Dataset Details

Dataset is composed by three corpora:
[brWaC](https://aclanthology.org/L18-1686/), [C100-PT](https://arxiv.org/abs/1911.02116), [OSCAR-2301](http://arxiv.org/abs/2201.06642).

- **brWaC**: a web corpus for Brazilian Portuguese from 120,000 different websites.
- **C100-PT**: Portuguese subset from CC-100. C100 was created for training the multilingual Transformer XLM-R, containing two terabytes of cleaned data from 2018 snapshots of the [Common Crawl project](\url{https://commoncrawl.org/about/) in 100 languages.  We use the , which contains 49.1 GiB of text.
- **OSCAR-2301-PT**: curation from OSCAR-2301 in the Portuguese language.

### Dataset Description

- **Language(s) (NLP):** Brazilian Portuguese (pt-BR)
- **License:** [Creative Commons Attribution 4.0 International Public License](https://creativecommons.org/licenses/by/4.0/deed.en)
- **Repository:** https://github.com/eduagarcia/roberta-legal-portuguese
- **Paper:** [More Information Needed]

## Citation

```bibtex
@InProceedings{garcia2024_roberlexpt,
    author="Garcia, Eduardo A. S.
    and Silva, N{\'a}dia F. F.
    and Siqueira, Felipe
    and Gomes, Juliana R. S.
    and Albuqueruqe, Hidelberg O.
    and Souza, Ellen
    and Lima, Eliomar
    and De Carvalho, André",
    title="RoBERTaLexPT: A Legal RoBERTa Model pretrained with deduplication for Portuguese",
    booktitle="Computational Processing of the Portuguese Language",
    year="2024",
    publisher="Association for Computational Linguistics"
}
```

## Acknowledgment

This work has been supported by the AI Center of Excellence (Centro de Excelência em Inteligência Artificial – CEIA) of the Institute of Informatics at the Federal University of Goiás (INF-UFG).