rbnuria commited on
Commit
a416615
1 Parent(s): fdf7182

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +54 -1
README.md CHANGED
@@ -1,3 +1,56 @@
1
  ---
2
- license: cc-by-nc-sa-4.0
 
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ license: cc-by-sa-4.0
3
+ task_categories:
4
+ - text-classification
5
+ language:
6
+ - el
7
+ tags:
8
+ - code
9
+ size_categories:
10
+ - 1K<n<10K
11
  ---
12
+ # SentiMP-En Dataset
13
+
14
+ The SentiMP-Gr Dataset is a greek 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/).
15
+
16
+ <div align="center", style="text-align:center; display:block">
17
+ <img style="float:left; padding-right:10px" src="https://dasci.es/wp-content/uploads/2018/12/DaSCI_logo_vertical.png" alt="DaSCI" width="150"/>
18
+ <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"/>
19
+ <img style="float:left;" src="https://upload.wikimedia.org/wikipedia/commons/e/ef/Cardiff_University_%28logo%29.svg" alt="Cardiff" width="125"/>
20
+ </div>
21
+ <div style="clear:both"></div>
22
+
23
+
24
+ ## Dataset details
25
+
26
+ The dataset containst 500 tweets in Greek. For each tweet we provide the following information:
27
+ * **full_text**: Which containts the content of the tweet.
28
+ * **fold**: Proposed partitions \{0,1,2,3,4\} in 5 folds for 5 fold cross-validation for the sake of reproducibility.
29
+ * **label_i** : Annotator's i label (i in \{1,2,3\}). It takes values in \{-1,0,1\}.
30
+ * **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\}.
31
+ * **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\}.
32
+ * **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\}.
33
+
34
+
35
+ ## Citation
36
+ If you use this dataset, please cite:
37
+
38
+
39
+
40
+ ## Contact
41
+ Nuria Rodríguez Barroso - rbnuria@ugr.es
42
+
43
+ ## Acknowledgements
44
+
45
+ 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.
46
+
47
+ Shield: [![CC BY-SA 4.0][cc-by-sa-shield]][cc-by-sa]
48
+
49
+ This work is licensed under a
50
+ [Creative Commons Attribution-ShareAlike 4.0 International License][cc-by-sa].
51
+
52
+ [![CC BY-SA 4.0][cc-by-sa-image]][cc-by-sa]
53
+
54
+ [cc-by-sa]: http://creativecommons.org/licenses/by-sa/4.0/
55
+ [cc-by-sa-image]: https://licensebuttons.net/l/by-sa/4.0/88x31.png
56
+ [cc-by-sa-shield]: https://img.shields.io/badge/License-CC%20BY--SA%204.0-lightgrey.svg