annotations_creators:
- crowdsourced
- other language_creators:
- other
- crowdsourced languages:
- es licenses:
- cc-by-sa-4.0 multilinguality:
- monolingual pretty_name: ESnli size_categories:
- unknown source_datasets:
- extended|snli
- extended|xnli
- extended|multi_nli task_categories:
- text-classification task_ids:
- natural-language-inference
Dataset Card for nli-es
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: [Needs More Information]
- Repository: https://huggingface.co/datasets/hackathon-pln-es/nli-es/
- Paper: [Needs More Information]
- Leaderboard: [Needs More Information]
- Point of Contact: [Needs More Information]
Dataset Summary
A Spanish Natural Language Inference dataset put together from the sources:
- the Spanish slice of the XNLI dataset;
- machine-translated Spanish version of the SNLI dataset
- machine-translated Spanish version of the Multinli dataset
Supported Tasks and Leaderboards
[Needs More Information]
Languages
A small percentage of the dataset contains original Spanish text by human speakers. The rest was generated by automatic translation.
Dataset Structure
Data Instances
A line includes four values: a sentence1 (the premise); a sentence2 (the hypothesis); a label specifying the relationship between the two ("gold_label") and the ID number of the pair of sentences as given in the original dataset.
Labels can be "entailment" if the premise entails the hypothesis, "contradiction" if it contradicts it or "neutral" if it neither implies it nor denies it.
{ "gold_label": "neutral", "pairID": 1, "sentence1": "A ver si nos tenemos que poner todos en huelga hasta cobrar lo que queramos.", "sentence2": "La huelga es el método de lucha más eficaz para conseguir mejoras en el salario." }
Data Fields
[Needs More Information]
Data Splits
[Needs More Information]
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
[Needs More Information]
Licensing Information
[Needs More Information]
Citation Information
[Needs More Information]