task_categories:text-classification language:es license:cc-by-sa-4.0 size_categories:n<1K format:csv modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us code
---
license: cc-by-sa-4.0
task_categories:
- text-classification
language:
- es
tags:
- code
size_categories:
- n<1K
---
# SentiMP-Sp Dataset

The SentiMP-Sp Dataset is a spanish sentiment analysis dataset based on tweets written by members of parliament in Spain in 2021.  It has been developed collaboratively by the [Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI)](https://dasci.es/) research  group from the [University of Granada](https://www.ugr.es/), the [SINAI](https://sinai.ujaen.es/) research group from the [University of Jaén](https://www.ujaen.es/) and the [Cardiff NLP](https://sites.google.com/view/cardiffnlp/) research group from the [University of Cardiff](https://isc.cardiff.ac.uk/).

<div align="center", style="text-align:center; display:block">
<img style="float:left; padding-right:10px" src="https://dasci.es/wp-content/uploads/2018/12/DaSCI_logo_vertical.png"  alt="DaSCI" width="150"/>
<img style="float:left; padding-right:10px" src="https://www.ujaen.es/gobierno/viccom/sites/gobierno_viccom/files/uploads/inline-images/Marca%20Tradicional.png" alt="UJAEN" width="175"/>
<img style="float:left;" src="https://upload.wikimedia.org/wikipedia/commons/e/ef/Cardiff_University_%28logo%29.svg" alt="Cardiff" width="125"/>
</div>
<div style="clear:both"></div>


## Dataset details

The dataset containst 500 tweets in  Spanish. For each tweet we provide the following information:
* **full_text**: Which containts the content of the tweet.
* **fold**: Proposed partitions \{0,1,2,3,4\} in 5 folds for 5 fold cross-validation for the sake of reproducibility.
* **label_i** : Annotator's i label (i in \{1,2,3,4,5\}). It takes values in \{-1,0,1\}.
* **majority_vote**: The result after applying the majority vote strategy to the annotators' partial labelling. When there is a tie we use the label "TIE". It takes values in \{-1,0,1,TIE\}.
* **tie_break**:  We use this column to break ties in cases where there is a tie. Therefore, it is only completed when TIE appears in the *majority_vote* column. It takes values in \{-1,0,1\}.
* **gold_label**: It represents the final label. It is a combination between the *majority_vote* abd the *tie_break* columns. It takes values in \{-1,0,1\}.


## Citation
If you use this dataset, please cite:



## Contact
Nuria Rodríguez Barroso - rbnuria@ugr.es

## Acknowledgements

This work was partly supported by the grants PID2020-119478GB-I00, PID2020-116118GA-I00 and TED2021-130145B-I00 funded by MCIN/AEI/10.13039/501100011033 of the Spanish Government. 

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