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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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Usage Example: |
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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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# 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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### 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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### Languages |
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Contemporary Brazilian Portuguese (1970-2021). |
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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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### 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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### Data Splits |
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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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## Additional Information |
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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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### Licensing Information |
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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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### Citation Information |
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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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