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README.md

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 The SentiMP-21 Dataset is a multilingual sentiment analysis dataset based on tweets written by members of parliament in Greece, Spain and 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/) and the [Cardiff NLP](https://sites.google.com/view/cardiffnlp/) research group from the [University of Cardiff](https://isc.cardiff.ac.uk/).
 
-<p align="center"><img src="https://dasci.es/wp-content/uploads/2018/12/DaSCI_logo_vertical.png"  alt="Andalusian Research Institute in Data Science and Computational Intelligence" height = "10"/>
-<img src="https://upload.wikimedia.org/wikipedia/commons/e/ef/Cardiff_University_%28logo%29.svg" alt="Sherpa AI" height = "10" /></p>
+<p align="center"><img src="https://dasci.es/wp-content/uploads/2018/12/DaSCI_logo_vertical.png"  alt="DaSCI" width="250"/>
+<img src="https://upload.wikimedia.org/wikipedia/commons/e/ef/Cardiff_University_%28logo%29.svg" alt="Cardiff" width="250"/>
+</p>
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 ## Dataset details
 
 The dataset containst 1500 tweets in three different languages: Greek (500 tweets), Spanish (500 tweets) and English (500 tweets). 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.
-* **label_i** : Annotator's i label (i in \{1,2,3\} for English and Greek and i in \{1,2,3,4,5\} for Spanish). It takes values in \{-1,0,1,x\}.
+* **label_i** : Annotator's i label (i in \{1,2,3\} for English and Greek and i in \{1,2,3,4,5\} for Spanish). 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\}.