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README.md
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multilinguality:
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- monolingual
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tags: []
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#
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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## Dataset Description
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- **Website:** https://github.com/UniversalDependencies/
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- **Point of Contact:** [Daniel Zeman]([email protected])
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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
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### Supported Tasks and Leaderboards
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### Languages
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The dataset is in
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## Dataset Structure
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### Data Splits
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## Dataset Creation
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### Source Data
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- [
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#### Initial Data Collection and Normalization
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### Social Impact of Dataset
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This dataset contributes to the development of language models in
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### Discussion of Biases
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annotations_creators:
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- expert-generated
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language:
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- es
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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_Spanish-AnCora
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size_categories: []
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source_datasets: []
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tags: []
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# UD_Spanish-AnCora
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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## Dataset Description
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- **Website:** https://github.com/UniversalDependencies/UD_Spanish-AnCora
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- **Point of Contact:** [Daniel Zeman]([email protected])
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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 EvalEs Spanish language benchmark.
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### Supported Tasks and Leaderboards
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### Languages
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The dataset is in Spanish (`es-ES`)
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## Dataset Structure
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### Data Splits
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- es_ancora-ud-train.conllu
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- es_ancora-ud-dev.conllu
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- es_ancora-ud-test.conllu
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## Dataset Creation
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### Source Data
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- [UD_Spanish-AnCora](https://github.com/UniversalDependencies/UD_Spanish-AnCora)
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#### Initial Data Collection and Normalization
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### Social Impact of Dataset
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This dataset contributes to the development of language models in Spanish.
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### Discussion of Biases
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