File size: 2,990 Bytes
92d5f35
 
08b1dc0
 
 
 
 
 
 
73646e4
92d5f35
5cac8d3
08b1dc0
5cac8d3
08b1dc0
e7b47f6
 
8edfa73
 
 
 
55b0c3f
08b1dc0
 
 
35e63d5
08b1dc0
17e0f48
 
08b1dc0
 
 
 
 
 
 
 
 
 
 
 
 
ef136ad
 
17bb82f
08b1dc0
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
---
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/).

<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 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