Datasets:

carolina-c4ai
/

corpus-carolina

	---
	annotations_creators:
	- no-annotation
	language_creators:
	- crowdsourced
	language:
	- pt
	license:
	- cc-by-nc-sa-4.0
	multilinguality:
	- monolingual
	size_categories:
	- 1B<n<10B
	source_datasets:
	- original
	task_categories:
	- fill-mask
	- text-generation
	task_ids:
	- masked-language-modeling
	- language-modeling
	pretty_name: Carolina
	language_bcp47:
	- pt-BR
	---

	# 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: 1.2 (Ada)
	- Point of Contact: [LaViHD](mailto:[email protected])


	### 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.

	Dataset Vesioning:

	The Carolina Corpus is under continuous development resulting in multiple vesions. The current version is v1.2, but v1.1 is also available. You can access diferent vesions of the corpus using the `revision` parameter on `load_dataset`.

	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")

	# to load previous version
	corpus_carolina = load_dataset("carolina-c4ai/corpus-carolina", revision="v1.1")
	```

	### 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 \| 2107045 \| 11 GB \|
	\| dat \| Datasets and other Corpora \| 1102049 \| 4.4 GB \|
	\| wik \| Wikis \| 960139 \| 5.2 GB \|
	\| jud \| Judicial Branch \| 40464 \| 1.5 GB \|
	\| leg \| Legislative Branch \| 13 \| 25 MB \|
	\| soc \| Social Media \| 3413 \| 17 MB \|
	\| uni \| University Domains \| 941 \| 10 MB \|
	\| pub \| Public Domain Works \| 26 \| 4.5 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)},
	}
	```