Datasets:
YAML tags: null
annotations_creators:
- expert-generated
language:
- es
language_creators:
- found
multilinguality:
- monolingual
pretty_name: STS-es
size_categories: []
source_datasets: []
tags: []
task_categories:
- text-classification
task_ids:
- semantic-similarity-scoring
- text-scoring
STS-es
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://alt.qcri.org/semeval2014/task10/
- Point of Contact: Aitor Gonzalez
Dataset Summary
For Semantic Text Similarity, we collected the Spanish test sets from SemEval-2014 (Agirre et al., 2014) and SemEval-2015 (Agirre et al., 2015). Since no training data was provided for the Spanish subtask, we randomly sampled both datasets into 1,321 sentences for the train set, 78 sentences for the development set, and 156 sentences for the test set. To make the task harder for the models, we purposely made the development set smaller than the test set.
We use this corpus as part of the EvalEs Spanish language benchmark.
Supported Tasks and Leaderboards
Semantic Text Similarity Scoring
Languages
The dataset is in Spanish (es-ES)
Dataset Structure
Data Instances
{
'sentence1': "El "tendón de Aquiles" ("tendo Achillis") o "tendón calcáneo" ("tendo calcaneus") es un tendón de la parte posterior de la pierna."
'sentence2': "El tendón de Aquiles es la extensión tendinosa de los tres músculos de la pantorrilla: gemelo, sóleo y plantar delgado."
'label': 2.8
}
Data Fields
- sentence1: String
- sentence2: String
- label: Float
Data Splits
- train: 1,321 instances
- dev: 78 instances
- test: 156 instances
Dataset Creation
Curation Rationale
[N/A]
Source Data
The source data came from the Spanish Wikipedia (2013 dump) and texts from Spanish news (2014).
For more information visit the paper from the SemEval-2014 Shared Task (Agirre et al., 2014) and the SemEval-2015 Shared Task (Agirre et al., 2015).
Initial Data Collection and Normalization
For more information visit the paper from the SemEval-2014 Shared Task (Agirre et al., 2014) and the SemEval-2015 Shared Task (Agirre et al., 2015).
Who are the source language producers?
Journalists and Wikipedia contributors.
Annotations
Annotation process
For more information visit the paper from the SemEval-2014 Shared Task (Agirre et al., 2014) and the SemEval-2015 Shared Task (Agirre et al., 2015).
Who are the annotators?
For more information visit the paper from the SemEval-2014 Shared Task (Agirre et al., 2014) and the SemEval-2015 Shared Task (Agirre et al., 2015).
Personal and Sensitive Information
No personal or sensitive information included.
Considerations for Using the Data
Social Impact of Dataset
This dataset contributes to the development of language models in Spanish.
Discussion of Biases
No postprocessing steps were applied to mitigate potential social biases.
Additional Information
Citation Information
The following papers must be cited when using this corpus:
@inproceedings{agirre2015semeval,
title={Semeval-2015 task 2: Semantic textual similarity, english, spanish and pilot on interpretability},
author={Agirre, Eneko and Banea, Carmen and Cardie, Claire and Cer, Daniel and Diab, Mona and Gonzalez-Agirre, Aitor and Guo, Weiwei and Lopez-Gazpio, Inigo and Maritxalar, Montse and Mihalcea, Rada and others},
booktitle={Proceedings of the 9th international workshop on semantic evaluation (SemEval 2015)},
pages={252--263},
year={2015}
}
@inproceedings{agirre2014semeval,
title={SemEval-2014 Task 10: Multilingual Semantic Textual Similarity.},
author={Agirre, Eneko and Banea, Carmen and Cardie, Claire and Cer, Daniel M and Diab, Mona T and Gonzalez-Agirre, Aitor and Guo, Weiwei and Mihalcea, Rada and Rigau, German and Wiebe, Janyce},
booktitle={SemEval@ COLING},
pages={81--91},
year={2014}
}