Datasets:
Tasks:
Text Classification
Formats:
csv
Sub-tasks:
natural-language-inference
Languages:
Spanish
Size:
1K - 10K
ArXiv:
License:
| annotations_creators: | |
| - expert-generated | |
| language: | |
| - es | |
| language_creators: | |
| - expert-generated | |
| license: | |
| - cc-by-4.0 | |
| multilinguality: | |
| - monolingual | |
| pretty_name: InferES | |
| size_categories: | |
| - 1K<n<10K | |
| source_datasets: | |
| - original | |
| tags: | |
| - nli | |
| - spanish | |
| - negation | |
| - coreference | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - natural-language-inference | |
| # Dataset Card for InferES | |
| ## Table of Contents | |
| - [Table of Contents](#table-of-contents) | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Homepage:** https://github.com/venelink/inferes | |
| - **Repository:** https://github.com/venelink/inferes | |
| - **Paper:** https://arxiv.org/abs/2210.03068 | |
| - **Point of Contact:** venelin [at] utexas [dot] edu | |
| ### Dataset Summary | |
| Natural Language Inference dataset for European Spanish | |
| Paper accepted and (to be) presented at COLING 2022 | |
| ### Supported Tasks and Leaderboards | |
| Natural Language Inference | |
| ### Languages | |
| Spanish | |
| ## Dataset Structure | |
| The dataset contains two texts inputs (Premise and Hypothesis), Label for three-way classification, and annotation data. | |
| ### Data Instances | |
| train size = 6444 | |
| test size = 1612 | |
| ### Data Fields | |
| ID : the unique ID of the instance | |
| Premise | |
| Hypothesis | |
| Label: cnt, ent, neutral | |
| Topic: 1 (Picasso), 2 (Columbus), 3 (Videogames), 4 (Olympic games), 5 (EU), 6 (USSR) | |
| Anno: ID of the annotators (in cases of undergrads or crowd - the ID of the group) | |
| Anno Type: Generate, Rewrite, Crowd, and Automated | |
| ### Data Splits | |
| train size = 6444 | |
| test size = 1612 | |
| The train/test split is stratified by a key that combines Label + Anno + Anno type | |
| ### Source Data | |
| Wikipedia + text generated from "sentence generators" hired as part of the process | |
| #### Who are the annotators? | |
| Native speakers of European Spanish | |
| ### Personal and Sensitive Information | |
| No personal or Sensitive information is included. | |
| Annotators are anonymized and only kept as "ID" for research purposes. | |
| ### Dataset Curators | |
| Venelin Kovatchev | |
| ### Licensing Information | |
| cc-by-4.0 | |
| ### Citation Information | |
| To be added after proceedings from COLING 2022 appear | |
| ### Contributions | |
| Thanks to [@venelink](https://github.com/venelink) for adding this dataset. | |