Datasets:
Languages:
Portuguese
Multilinguality:
monolingual
Size Categories:
1B<n<10B
Language Creators:
crowdsourced
Annotations Creators:
no-annotation
Source Datasets:
original
License:
pretty_name: Carolina | |
annotations_creators: | |
- no-annotation | |
language_creators: | |
- crowdsourced | |
language: | |
- pt-BR | |
license: | |
- cc-by-nc-sa-4.0 | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 1B<n<10B | |
source_datasets: | |
- original | |
task_categories: | |
- sequence-modeling | |
task_ids: | |
- language-modeling | |
# Dataset Card for Corpus Carolina | |
## Table of Contents | |
- [Table of Contents](#table-of-contents) | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks](#supported-tasks) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-fields) | |
- [Data Splits](#data-splits) | |
- [Additional Information](#additional-information) | |
- [Dataset Curators](#dataset-curators) | |
- [Licensing Information](#licensing-information) | |
- [Citation Information](#citation-information) | |
## Dataset Description | |
- **Homepage:** [sites.usp.br/corpuscarolina](https://sites.usp.br/corpuscarolina/) | |
- **Current Version:** 1.1 (Ada) | |
- **Point of Contact:** [Guilherme L. Mello](mailto:guilhermelmello@ime.usp.br) | |
### Dataset Summary | |
Carolina is an Open Corpus for Linguistics and Artificial Intelligence with a | |
robust volume of texts of varied typology in contemporary Brazilian Portuguese | |
(1970-2021). This corpus contains documents and texts extracted from the web | |
and includes information (metadata) about its provenance and tipology. | |
The documents are clustered into taxonomies and the corpus can be loaded in complete or taxonomy modes. To load a single taxonomy, it is possible to pass a code as a parameter to the loading script (see the example bellow). Codes are 3-letters string and possible values are: | |
- `dat` : datasets and other corpora; | |
- `jud` : judicial branch; | |
- `leg` : legislative branch; | |
- `pub` : public domain works; | |
- `soc` : social media; | |
- `uni` : university domains; | |
- `wik` : wikis. | |
Usage Example: | |
```python | |
from datasets import load_dataset | |
# to load all taxonomies | |
corpus_carolina = load_dataset("carolina-c4ai/corpus-carolina") | |
# to load social media documents | |
social_media = load_dataset("carolina-c4ai/corpus-carolina", taxonomy="soc") | |
``` | |
### Supported Tasks | |
Carolina corpus was compiled for academic purposes, | |
namely linguistic and computational analysis. | |
### Languages | |
Contemporary Brazilian Portuguese (1970-2021). | |
## Dataset Structure | |
Files are stored inside `corpus` folder with a subfolder | |
for each taxonomy. Every file folows a XML structure | |
(TEI P5) and contains multiple extracted documents. For | |
each document, the text and metadata are exposed as | |
`text` and `meta` features, respectively. | |
### Data Instances | |
Every instance have the following structure. | |
``` | |
{ | |
"meta": datasets.Value("string"), | |
"text": datasets.Value("string") | |
} | |
``` | |
| Code | Taxonomy | Instances | Size | | |
|:----:|:---------------------------|----------:|-------:| | |
| | **Total** | 1745187 | 7.3 GB | | |
| dat | Datasets and other Corpora | 1098717 | 3.3 GB | | |
| wik | Wikis | 603968 | 2.6 GB | | |
| jud | Judicial Branch | 38068 | 1.4 GB | | |
| leg | Legislative Branch | 14 | 20 MB | | |
| soc | Social Media | 3449 | 15 MB | | |
| uni | University Domains | 945 | 9.4 MB | | |
| pub | Public Domain Works | 26 | 3.6 MB | | |
|| | |
### Data Fields | |
- `meta`: a XML string with a TEI conformant `teiHeader` tag. It is exposed as text and needs to be parsed in order to access the actual metada; | |
- `text`: a string containing the extracted document. | |
### Data Splits | |
As a general corpus, Carolina does not have splits. In order to load the dataset, it is used `corpus` as its single split. | |
## Additional Information | |
### Dataset Curators | |
The Corpus Carolina is developed by a multidisciplinary | |
team of linguists and computer scientists, members of the | |
Virtual Laboratory of Digital Humanities - LaViHD and the Artificial Intelligence Center of the University of São Paulo - C4AI. | |
### Licensing Information | |
The Open Corpus for Linguistics and Artificial Intelligence (Carolina) was | |
compiled for academic purposes, namely linguistic and computational analysis. | |
It is composed of texts assembled in various digital repositories, whose | |
licenses are multiple and therefore should be observed when making use of the | |
corpus. The Carolina headers are licensed under Creative Commons | |
Attribution-NonCommercial-ShareAlike 4.0 International." | |
### Citation Information | |
``` | |
@misc{corpusCarolinaV1.1, | |
title={ | |
Carolina: | |
The Open Corpus for Linguistics and Artificial Intelligence | |
}, | |
author={ | |
Finger, Marcelo and | |
Paixão de Sousa, Maria Clara and | |
Namiuti, Cristiane and | |
Martins do Monte, Vanessa and | |
Costa, Aline Silva and | |
Serras, Felipe Ribas and | |
Sturzeneker, Mariana Lourenço and | |
Guets, Raquel de Paula and | |
Mesquita, Renata Morais and | |
Mello, Guilherme Lamartine de and | |
Crespo, Maria Clara Ramos Morales and | |
Rocha, Maria Lina de Souza Jeannine and | |
Brasil, Patrícia and | |
Silva, Mariana Marques da and | |
Palma, Mayara Feliciano | |
}, | |
howpublished={\url{ | |
https://sites.usp.br/corpuscarolina/corpus}}, | |
year={2022}, | |
note={Version 1.1 (Ada)}, | |
} | |
``` | |