--- license: cc-by-sa-4.0 task_categories: - text-classification language: - en tags: - code size_categories: - n<1K --- # SentiMP-En Dataset The SentiMP-En Dataset is an english sentiment analysis dataset based on tweets written by members of parliament in United Kingdom 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/).
DaSCI UJAEN Cardiff
## Dataset details The dataset containst 500 tweets in English. 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\}). 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. Shield: [![CC BY-SA 4.0][cc-by-sa-shield]][cc-by-sa] This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License][cc-by-sa]. [![CC BY-SA 4.0][cc-by-sa-image]][cc-by-sa] [cc-by-sa]: http://creativecommons.org/licenses/by-sa/4.0/ [cc-by-sa-image]: https://licensebuttons.net/l/by-sa/4.0/88x31.png [cc-by-sa-shield]: https://img.shields.io/badge/License-CC%20BY--SA%204.0-lightgrey.svg