Update README.md

README.md

@@ -22,23 +22,19 @@ The SentiMP Dataset is a multilingual sentiment analysis dataset based on tweets
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+**SentiMP-En** represents the recolected tweets from United Kingdom.
+
 
 ## 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\}.
+* **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\}.
 
-## Downloads
-
-You can find these files in the following repositories:
-* [Spanish dataset](https://huggingface.co/datasets/rbnuria/SentiMP/blob/main/sp.csv)
-* [English dataset](https://huggingface.co/datasets/rbnuria/SentiMP/blob/main/en.csv)
-* [Greek dataset](https://huggingface.co/datasets/rbnuria/SentiMP/blob/main/gr.csv)
 
 ## Citation
 If you use this dataset, please cite: