add details to dataset card

README.md

@@ -4,7 +4,64 @@ task_categories:
 - text-classification
 language:
 - mk
+multilinguality:
+- monolingual
 pretty_name: Macedonian Tweet Sentiment Classification
 size_categories:
 - 1K<n<10K
----
+---
+
+# Dataset Card for Macedonian Tweet Sentiment Classification
+
+## Dataset Description
+
+### Dataset Summary
+This is a Macedonian dataset is a collection of tweets for sentiment classification. 
+
+### Supported Tasks and Leaderboards
+text-classification, sentiment-classification: The dataset can be used to train a model for sentiment classification. The model performance is evaluated based on the accuracy of the predicted labels as compared to the given labels in the dataset. The BCP-47 code for Macedonian is mk. 
+
+### Languages
+The text is in Macedonian.
+
+## Dataset Structure
+
+### Data Fields
+- `text`: String of a tweet.
+- `label`: An integer indicating annotated sentiment level: -1 for negative, 0 for neutral, and 1 for positive.
+
+### Data Splits
+
+The dataset has 2 splits: _train_, and _test_. 
+
+| Dataset | Positive | Neutral | Negative | Total |
+|---------|----------|---------|----------|-------|
+| Train   | 2,610 (30%) | 1,280 (15%) | 4,693 (55%) | 8,583 |
+| Test    | 431 (38%) | 200 (18%) | 508 (44%) | 1,139 |
+
+
+## Dataset Creation
+Please see the [paper](https://aclanthology.org/R15-1034/) for details.
+
+## Additional Information
+
+### Citation Information
+The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
+```
+@inproceedings{jovanoski-etal-2015-sentiment,
+    title = "Sentiment Analysis in {T}witter for {M}acedonian",
+    author = "Jovanoski, Dame  and
+      Pachovski, Veno  and
+      Nakov, Preslav",
+    editor = "Mitkov, Ruslan  and
+      Angelova, Galia  and
+      Bontcheva, Kalina",
+    booktitle = "Proceedings of the International Conference Recent Advances in Natural Language Processing",
+    month = sep,
+    year = "2015",
+    address = "Hissar, Bulgaria",
+    publisher = "INCOMA Ltd. Shoumen, BULGARIA",
+    url = "https://aclanthology.org/R15-1034",
+    pages = "249--257",
+}
+```