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--- |
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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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language: |
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- pt |
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license: |
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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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- fill-mask |
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- text-generation |
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task_ids: |
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- masked-language-modeling |
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- language-modeling |
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pretty_name: Carolina |
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language_bcp47: |
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- pt-BR |
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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:** 1.2 (Ada) |
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- **Point of Contact:** [LaViHD](mailto:lavihd@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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Dataset Vesioning: |
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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`. |
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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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# to load previous version |
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corpus_carolina = load_dataset("carolina-c4ai/corpus-carolina", revision="v1.1") |
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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** | 2107045 | 11 GB | |
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| dat | Datasets and other Corpora | 1102049 | 4.4 GB | |
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| wik | Wikis | 960139 | 5.2 GB | |
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| jud | Judicial Branch | 40464 | 1.5 GB | |
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| leg | Legislative Branch | 13 | 25 MB | |
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| soc | Social Media | 3413 | 17 MB | |
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| uni | University Domains | 941 | 10 MB | |
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| pub | Public Domain Works | 26 | 4.5 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{crespo2023carolina, |
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title={Carolina: a General Corpus of Contemporary Brazilian Portuguese with Provenance, Typology and Versioning Information}, |
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author={Maria Clara Ramos Morales Crespo and Maria Lina de Souza Jeannine Rocha and Mariana Lourenço Sturzeneker and Felipe Ribas Serras and Guilherme Lamartine de Mello and Aline Silva Costa and Mayara Feliciano Palma and Renata Morais Mesquita and Raquel de Paula Guets and Mariana Marques da Silva and Marcelo Finger and Maria Clara Paixão de Sousa and Cristiane Namiuti and Vanessa Martins do Monte}, |
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year={2023}, |
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eprint={2303.16098}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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