Datasets:

eduagarcia
/

CrawlPT

	---
	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).