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README.md
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---
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pretty_name: Carolina
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annotations_creators:
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- no-annotation
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language_creators:
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- crowdsourced
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languages:
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- pt-BR
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licenses:
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- cc-by-nc-sa-4.0
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multilinguality:
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- monolingual
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size_categories:
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- 1B<n<10B
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source_datasets:
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- original
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task_categories:
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- sequence-modeling
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task_ids:
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- language-modeling
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---
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# Dataset Card for Corpus Carolina
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Homepage:** [sites.usp.br/corpuscarolina](https://sites.usp.br/corpuscarolina/)
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- **Current Version:** 1.1 (Ada)
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- **Point of Contact:** [Guilherme L. Mello](mailto:guilhermelmello@ime.usp.br)
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### Dataset Summary
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Carolina is an Open Corpus for Linguistics and Artificial Intelligence with a
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robust volume of texts of varied typology in contemporary Brazilian Portuguese
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(1970-2021). This corpus contains documents and texts extracted from the web
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and includes information (metadata) about its provenance and tipology.
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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:
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- `dat` : datasets and other corpora;
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- `jud` : judicial branch;
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- `leg` : legislative branch;
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- `pub` : public domain works;
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- `soc` : social media;
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- `uni` : university domains;
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- `wik` : wikis.
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```python
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from datasets import
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# to load all taxonomies
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corpus_carolina =
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# to load social media documents
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social_media =
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```
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### Supported Tasks
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Carolina corpus was compiled for academic purposes,
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namely linguistic and computational analysis.
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-
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### Languages
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Contemporary Brazilian Portuguese (1970-2021).
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-
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## Dataset Structure
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Files are stored inside `corpus` folder with a subfolder
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for each taxonomy. Every file folows a XML structure
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(TEI P5) and contains multiple extracted documents. For
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each document, the text and metadata are exposed as
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`text` and `meta` features, respectively.
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-
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### Data Instances
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Every instance have the following structure.
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```
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{
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"meta": datasets.Value("string"),
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"text": datasets.Value("string")
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}
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```
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| Code | Taxonomy | Instances | Size |
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|:----:|:---------------------------|----------:|-------:|
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| | **Total** | 1745187 | 7.3 GB |
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| dat | Datasets and other Corpora | 1098717 | 3.3 GB |
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| wik | Wikis | 603968 | 2.6 GB |
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| jud | Judicial Branch | 38068 | 1.4 GB |
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| leg | Legislative Branch | 14 | 20 MB |
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| soc | Social Media | 3449 | 15 MB |
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| uni | University Domains | 945 | 9.4 MB |
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| pub | Public Domain Works | 26 | 3.6 MB |
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||
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### Data Fields
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- `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;
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- `text`: a string containing the extracted document.
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-
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### Data Splits
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-
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As a general corpus, Carolina does not have splits. In order to load the dataset, it is used `corpus` as its single split.
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-
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## Additional Information
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-
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### Dataset Curators
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The Corpus Carolina is developed by a multidisciplinary
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team of linguists and computer scientists, members of the
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Virtual Laboratory of Digital Humanities - LaViHD and the Artificial Intelligence Center of the University of São Paulo - C4AI.
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-
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-
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### Licensing Information
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-
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The Open Corpus for Linguistics and Artificial Intelligence (Carolina) was
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compiled for academic purposes, namely linguistic and computational analysis.
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-
It is composed of texts assembled in various digital repositories, whose
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-
licenses are multiple and therefore should be observed when making use of the
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-
corpus. The Carolina headers are licensed under Creative Commons
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Attribution-NonCommercial-ShareAlike 4.0 International."
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-
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-
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### Citation Information
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-
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```
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@misc{corpusCarolinaV1.1,
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title={
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Carolina:
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The Open Corpus for Linguistics and Artificial Intelligence
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},
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author={
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Finger, Marcelo and
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Paixão de Sousa, Maria Clara and
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-
Namiuti, Cristiane and
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Martins do Monte, Vanessa and
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Costa, Aline Silva and
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Serras, Felipe Ribas and
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Sturzeneker, Mariana Lourenço and
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Guets, Raquel de Paula and
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Mesquita, Renata Morais and
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Mello, Guilherme Lamartine de and
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Crespo, Maria Clara Ramos Morales and
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Rocha, Maria Lina de Souza Jeannine and
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Brasil, Patrícia and
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Silva, Mariana Marques da and
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Palma, Mayara Feliciano
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},
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howpublished={\url{
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https://sites.usp.br/corpuscarolina/corpus}},
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year={2022},
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note={Version 1.1 (Ada)},
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}
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```
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1 |
+
---
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2 |
+
pretty_name: Carolina
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3 |
+
annotations_creators:
|
4 |
+
- no-annotation
|
5 |
+
language_creators:
|
6 |
+
- crowdsourced
|
7 |
+
languages:
|
8 |
+
- pt-BR
|
9 |
+
licenses:
|
10 |
+
- cc-by-nc-sa-4.0
|
11 |
+
multilinguality:
|
12 |
+
- monolingual
|
13 |
+
size_categories:
|
14 |
+
- 1B<n<10B
|
15 |
+
source_datasets:
|
16 |
+
- original
|
17 |
+
task_categories:
|
18 |
+
- sequence-modeling
|
19 |
+
task_ids:
|
20 |
+
- language-modeling
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21 |
+
---
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+
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+
# Dataset Card for Corpus Carolina
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+
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25 |
+
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+
## Table of Contents
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+
- [Table of Contents](#table-of-contents)
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28 |
+
- [Dataset Description](#dataset-description)
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29 |
+
- [Dataset Summary](#dataset-summary)
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30 |
+
- [Supported Tasks](#supported-tasks)
|
31 |
+
- [Languages](#languages)
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32 |
+
- [Dataset Structure](#dataset-structure)
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33 |
+
- [Data Instances](#data-instances)
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34 |
+
- [Data Fields](#data-fields)
|
35 |
+
- [Data Splits](#data-splits)
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36 |
+
- [Additional Information](#additional-information)
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37 |
+
- [Dataset Curators](#dataset-curators)
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38 |
+
- [Licensing Information](#licensing-information)
|
39 |
+
- [Citation Information](#citation-information)
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40 |
+
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41 |
+
|
42 |
+
## Dataset Description
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43 |
+
|
44 |
+
- **Homepage:** [sites.usp.br/corpuscarolina](https://sites.usp.br/corpuscarolina/)
|
45 |
+
- **Current Version:** 1.1 (Ada)
|
46 |
+
- **Point of Contact:** [Guilherme L. Mello](mailto:guilhermelmello@ime.usp.br)
|
47 |
+
|
48 |
+
|
49 |
+
### Dataset Summary
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50 |
+
|
51 |
+
Carolina is an Open Corpus for Linguistics and Artificial Intelligence with a
|
52 |
+
robust volume of texts of varied typology in contemporary Brazilian Portuguese
|
53 |
+
(1970-2021). This corpus contains documents and texts extracted from the web
|
54 |
+
and includes information (metadata) about its provenance and tipology.
|
55 |
+
|
56 |
+
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:
|
57 |
+
|
58 |
+
- `dat` : datasets and other corpora;
|
59 |
+
- `jud` : judicial branch;
|
60 |
+
- `leg` : legislative branch;
|
61 |
+
- `pub` : public domain works;
|
62 |
+
- `soc` : social media;
|
63 |
+
- `uni` : university domains;
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64 |
+
- `wik` : wikis.
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65 |
+
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+
Usage Example:
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+
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```python
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from datasets import load_dataset
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# to load all taxonomies
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corpus_carolina = load_dataset("carolina-c4ai/corpus-carolina")
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+
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# to load social media documents
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social_media = load_dataset("carolina-c4ai/corpus-carolina", taxonomy="soc")
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```
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+
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+
### Supported Tasks
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79 |
+
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80 |
+
Carolina corpus was compiled for academic purposes,
|
81 |
+
namely linguistic and computational analysis.
|
82 |
+
|
83 |
+
|
84 |
+
### Languages
|
85 |
+
|
86 |
+
Contemporary Brazilian Portuguese (1970-2021).
|
87 |
+
|
88 |
+
## Dataset Structure
|
89 |
+
|
90 |
+
Files are stored inside `corpus` folder with a subfolder
|
91 |
+
for each taxonomy. Every file folows a XML structure
|
92 |
+
(TEI P5) and contains multiple extracted documents. For
|
93 |
+
each document, the text and metadata are exposed as
|
94 |
+
`text` and `meta` features, respectively.
|
95 |
+
|
96 |
+
### Data Instances
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97 |
+
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98 |
+
Every instance have the following structure.
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99 |
+
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100 |
+
```
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+
{
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+
"meta": datasets.Value("string"),
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+
"text": datasets.Value("string")
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+
}
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+
```
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+
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+
| Code | Taxonomy | Instances | Size |
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+
|:----:|:---------------------------|----------:|-------:|
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+
| | **Total** | 1745187 | 7.3 GB |
|
110 |
+
| dat | Datasets and other Corpora | 1098717 | 3.3 GB |
|
111 |
+
| wik | Wikis | 603968 | 2.6 GB |
|
112 |
+
| jud | Judicial Branch | 38068 | 1.4 GB |
|
113 |
+
| leg | Legislative Branch | 14 | 20 MB |
|
114 |
+
| soc | Social Media | 3449 | 15 MB |
|
115 |
+
| uni | University Domains | 945 | 9.4 MB |
|
116 |
+
| pub | Public Domain Works | 26 | 3.6 MB |
|
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+
||
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118 |
+
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119 |
+
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120 |
+
### Data Fields
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121 |
+
|
122 |
+
- `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;
|
123 |
+
- `text`: a string containing the extracted document.
|
124 |
+
|
125 |
+
### Data Splits
|
126 |
+
|
127 |
+
As a general corpus, Carolina does not have splits. In order to load the dataset, it is used `corpus` as its single split.
|
128 |
+
|
129 |
+
|
130 |
+
## Additional Information
|
131 |
+
|
132 |
+
|
133 |
+
### Dataset Curators
|
134 |
+
|
135 |
+
The Corpus Carolina is developed by a multidisciplinary
|
136 |
+
team of linguists and computer scientists, members of the
|
137 |
+
Virtual Laboratory of Digital Humanities - LaViHD and the Artificial Intelligence Center of the University of São Paulo - C4AI.
|
138 |
+
|
139 |
+
|
140 |
+
### Licensing Information
|
141 |
+
|
142 |
+
The Open Corpus for Linguistics and Artificial Intelligence (Carolina) was
|
143 |
+
compiled for academic purposes, namely linguistic and computational analysis.
|
144 |
+
It is composed of texts assembled in various digital repositories, whose
|
145 |
+
licenses are multiple and therefore should be observed when making use of the
|
146 |
+
corpus. The Carolina headers are licensed under Creative Commons
|
147 |
+
Attribution-NonCommercial-ShareAlike 4.0 International."
|
148 |
+
|
149 |
+
|
150 |
+
### Citation Information
|
151 |
+
|
152 |
+
```
|
153 |
+
@misc{corpusCarolinaV1.1,
|
154 |
+
title={
|
155 |
+
Carolina:
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156 |
+
The Open Corpus for Linguistics and Artificial Intelligence
|
157 |
+
},
|
158 |
+
author={
|
159 |
+
Finger, Marcelo and
|
160 |
+
Paixão de Sousa, Maria Clara and
|
161 |
+
Namiuti, Cristiane and
|
162 |
+
Martins do Monte, Vanessa and
|
163 |
+
Costa, Aline Silva and
|
164 |
+
Serras, Felipe Ribas and
|
165 |
+
Sturzeneker, Mariana Lourenço and
|
166 |
+
Guets, Raquel de Paula and
|
167 |
+
Mesquita, Renata Morais and
|
168 |
+
Mello, Guilherme Lamartine de and
|
169 |
+
Crespo, Maria Clara Ramos Morales and
|
170 |
+
Rocha, Maria Lina de Souza Jeannine and
|
171 |
+
Brasil, Patrícia and
|
172 |
+
Silva, Mariana Marques da and
|
173 |
+
Palma, Mayara Feliciano
|
174 |
+
},
|
175 |
+
howpublished={\url{
|
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+
https://sites.usp.br/corpuscarolina/corpus}},
|
177 |
+
year={2022},
|
178 |
+
note={Version 1.1 (Ada)},
|
179 |
+
}
|
180 |
+
```
|