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--- |
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YAML tags: |
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annotations_creators: |
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- expert-generated |
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language: |
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- ca |
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language_creators: |
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- found |
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license: |
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- cc-by-4.0 |
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multilinguality: |
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- monolingual |
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pretty_name: UD_Catalan-AnCora |
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size_categories: [] |
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source_datasets: [] |
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tags: [] |
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task_categories: |
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- token-classification |
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task_ids: |
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- part-of-speech |
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--- |
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# UD_Catalan-AnCora |
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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 and Leaderboards](#supported-tasks-and-leaderboards) |
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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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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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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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- [Contributions](#contributions) |
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## Dataset Description |
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- **Website:** https://github.com/UniversalDependencies/UD_Catalan-AnCora |
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- **Point of Contact:** [Daniel Zeman](zeman@ufal.mff.cuni.cz) |
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### Dataset Summary |
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This dataset is composed of the annotations from the [AnCora corpus](http://clic.ub.edu/corpus/), projected on the [Universal Dependencies treebank](https://universaldependencies.org/). We use the POS annotations of this corpus as part of the [Catalan Language Understanding Benchmark (CLUB)](https://club.aina.bsc.es/). |
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### Supported Tasks and Leaderboards |
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POS tagging |
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### Languages |
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The dataset is in Catalan (`ca-CA`) |
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## Dataset Structure |
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### Data Instances |
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Three conllu files. |
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Annotations are encoded in plain text files (UTF-8, normalized to NFC, using only the LF character as line break, including an LF character at the end of file) with three types of lines: |
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1) Word lines containing the annotation of a word/token in 10 fields separated by single tab characters (see below). |
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2) Blank lines marking sentence boundaries. |
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3) Comment lines starting with hash (#). |
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### Data Fields |
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Word lines contain the following fields: |
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1) ID: Word index, integer starting at 1 for each new sentence; may be a range for multiword tokens; may be a decimal number for empty nodes (decimal numbers can be lower than 1 but must be greater than 0). |
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2) FORM: Word form or punctuation symbol. |
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3) LEMMA: Lemma or stem of word form. |
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4) UPOS: Universal part-of-speech tag. |
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5) XPOS: Language-specific part-of-speech tag; underscore if not available. |
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6) FEATS: List of morphological features from the universal feature inventory or from a defined language-specific extension; underscore if not available. |
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7) HEAD: Head of the current word, which is either a value of ID or zero (0). |
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8) DEPREL: Universal dependency relation to the HEAD (root iff HEAD = 0) or a defined language-specific subtype of one. |
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9) DEPS: Enhanced dependency graph in the form of a list of head-deprel pairs. |
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10) MISC: Any other annotation. |
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From: [https://universaldependencies.org](https://universaldependencies.org/guidelines.html) |
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### Data Splits |
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- ca_ancora-ud-train.conllu |
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- ca_ancora-ud-dev.conllu |
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- ca_ancora-ud-test.conllu |
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## Dataset Creation |
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### Curation Rationale |
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[N/A] |
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### Source Data |
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- [UD_Catalan-AnCora](https://github.com/UniversalDependencies/UD_Catalan-AnCora) |
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#### Initial Data Collection and Normalization |
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The original annotation was done in a constituency framework as a part of the [AnCora project](http://clic.ub.edu/corpus/) at the University of Barcelona. It was converted to dependencies by the [Universal Dependencies team](https://universaldependencies.org/) and used in the CoNLL 2009 shared task. The CoNLL 2009 version was later converted to HamleDT and to Universal Dependencies. |
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For more information on the AnCora project, visit the [AnCora site](http://clic.ub.edu/corpus/). |
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To learn about the Universal Dependences, visit the webpage [https://universaldependencies.org](https://universaldependencies.org) |
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#### Who are the source language producers? |
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For more information on the AnCora corpus and its sources, visit the [AnCora site](http://clic.ub.edu/corpus/). |
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### Annotations |
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#### Annotation process |
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For more information on the first AnCora annotation, visit the [AnCora site](http://clic.ub.edu/corpus/). |
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#### Who are the annotators? |
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For more information on the AnCora annotation team, visit the [AnCora site](http://clic.ub.edu/corpus/). |
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### Personal and Sensitive Information |
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No personal or sensitive information included. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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This dataset contributes to the development of language models in Catalan, a low-resource language. |
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### Discussion of Biases |
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[N/A] |
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### Other Known Limitations |
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[N/A] |
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## Additional Information |
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### Dataset Curators |
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### Licensing Information |
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This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">CC Attribution 4.0 International License</a>. |
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### Citation Information |
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The following paper must be cited when using this corpus: |
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Taulé, M., M.A. Martí, M. Recasens (2008) 'Ancora: Multilevel Annotated Corpora for Catalan and Spanish', Proceedings of 6th International Conference on Language Resources and Evaluation. Marrakesh (Morocco). |
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To cite the Universal Dependencies project: |
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Rueter, J. (Creator), Erina, O. (Contributor), Klementeva, J. (Contributor), Ryabov, I. (Contributor), Tyers, F. M. (Contributor), Zeman, D. (Contributor), Nivre, J. (Creator) (15 Nov 2020). Universal Dependencies version 2.7 Erzya JR. Universal Dependencies Consortium. |
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