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README.md
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---
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language:
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- gl
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dataset_info:
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- config_name: test
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features:
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- name: sentence1
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dtype: string
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- name: sentence2
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dtype: string
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- name: gold_label
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dtype: string
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configs:
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- config_name: default
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data_files:
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- split: test
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path: xnli.test.gl.tsv
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task_categories:
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- text-classification
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---
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# Dataset Card for XNLI_gl
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<!-- Provide a quick summary of the dataset. -->
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XNLI_gl is an extension of [XNLI](https://huggingface.co/datasets/xnli) translated to **Galician**. It has been designed as a cross-lingual dataset for the Natural Language Inference task, a text-classification task that consists on classifying pairs of sentences, a premise and a hypothesis, according to their semantic relation out of three possible labels: entailment, contradiction and neutral.
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- **Curated by:** [Proxecto Nós](https://doagalego.nos.gal/)
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- **Language(s) (NLP):** Galician
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## Dataset Details
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### Dataset Sources
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- **Repository:** [Link to the GitHub Repository](https://github.com/proxectonos/eval_datasets/tree/main/XNLI)
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## Dataset Structure
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### Dataset Fields
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- **sentence1**: text with the premise (string variable)
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- **sentence2**: hypothesis, text related to the premise (string variable)
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- **gold_label**: a classification label, showing the relation between premise and hypothesis. Possible values:
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- entailment
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- neutral
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- contradiction
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xnli.test.gl.tsv
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