--- language: - pt pretty_name: CrawlPT 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 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 - name: harmful_pp dtype: float64 - name: identification struct: - name: label dtype: string - name: prob dtype: float64 - name: quality_warnings sequence: string - name: sentence_identifications list: - name: label dtype: string - name: prob dtype: float64 - name: tlsh dtype: string - name: warc_headers struct: - name: content-length dtype: int64 - 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 dtype: string - 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: all features: - name: id dtype: int64 - name: source dtype: string - name: orig_id dtype: int64 - name: text dtype: string splits: - name: train num_bytes: 177056691649 num_examples: 60561584 download_size: 104747375703 dataset_size: 177056691649 - config_name: brwac 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 - name: doc_id dtype: string - name: title dtype: string - name: uri dtype: string 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 download_size: 35074345417 dataset_size: 55033381569 configs: - config_name: OSCAR-2301 data_files: - split: train path: OSCAR-2301/train-* - config_name: all data_files: - split: train path: all/train-* - config_name: brwac data_files: - split: train path: brwac/train-* - config_name: cc100 data_files: - split: train path: cc100/train-* --- # 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) - **Repository:** https://github.com/eduagarcia/roberta-legal-portuguese - **Paper:** https://aclanthology.org/2024.propor-1.38/ ## Citation ```bibtex @inproceedings{garcia-etal-2024-robertalexpt, title = "{R}o{BERT}a{L}ex{PT}: A Legal {R}o{BERT}a Model pretrained with deduplication for {P}ortuguese", author = "Garcia, Eduardo A. S. and Silva, Nadia F. F. and Siqueira, Felipe and Albuquerque, Hidelberg O. and Gomes, Juliana R. S. and Souza, Ellen and Lima, Eliomar A.", editor = "Gamallo, Pablo and Claro, Daniela and Teixeira, Ant{\'o}nio and Real, Livy and Garcia, Marcos and Oliveira, Hugo Gon{\c{c}}alo and Amaro, Raquel", booktitle = "Proceedings of the 16th International Conference on Computational Processing of Portuguese", month = mar, year = "2024", address = "Santiago de Compostela, Galicia/Spain", publisher = "Association for Computational Lingustics", url = "https://aclanthology.org/2024.propor-1.38", pages = "374--383", } ``` ## 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).