Update README.md

README.md

@@ -10,7 +10,7 @@ language:
 - sk
 tags:
 - sentiment
-- regression
+- classification
 - parliament
 - parlament
 pretty_name: ParlaSent
@@ -27,10 +27,23 @@ size_categories:
 
 ### Dataset Summary
 
+This dataset was created and used for sentiment analysis experiments.
+
 The dataset consists of five training datasets and two test sets. The test sets have a _test.jsonl suffix.
 
+Each test set consists of 2,600 sentences, annotated by one highly trained annotator. Training datasets were internally split into "train", "dev" and "test" portions" for performing language-specific experiments.
+
+The 6-level annotation schema, used by annotators, is the following: 
+- Positive for sentences that are entirely or predominantly positive
+- Negative for sentences that are entirely or predominantly negative
+- M_Positive for sentences that convey an ambiguous sentiment or a mixture of sentiments, but lean more towards the positive sentiment
+- M_Negative for sentences that convey an ambiguous sentiment or a mixture of sentiments, but lean more towards the negative sentiment
+- P_Neutral for sentences that only contain non-sentiment-related statements, but still lean more towards the positive sentiment
+- N_Neutral for sentences that only contain non-sentiment-related statements, but still lean more towards the negative sentiment
+
 Dataset is described in detail in our [paper](https://arxiv.org/abs/2309.09783).
 
+
 ### Data Attributes
 The attributes in training data are the following:
 - sentence - the sentence labeled for sentiment