metadata
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.
Dataset Details
Dataset is composed by three corpora: brWaC, C100-PT, OSCAR-2301.
- 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 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
@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).