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README.md

@@ -1,24 +1,26 @@
 ---
-dataset_info:
-  features:
-  - name: Tweet
-    dtype: string
-  - name: label_id
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 1500213
-    num_examples: 10785
-  - name: test
-    num_bytes: 145801
-    num_examples: 1170
-  download_size: 897555
-  dataset_size: 1646014
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+language: ar
+task_categories:
+- text-classification
+tags:
+- levantine
+- hate-speech
+- sentiment
+size_categories:
+- 1k<n<10k
 ---
+
+# L-HSAB (Custom Split for Levantine Hate Speech)
+
+This dataset contains Levantine Arabic tweets labeled for Hate Speech and Abusive language. It is used to train the model: [amitca71/marabert2-levantine-toxic-model-v3](https://huggingface.co/amitca71/marabert2-levantine-toxic-model-v3)
+
+## Dataset Structure
+
+- **text**: The tweet content (Arabic).
+- **label**: The classification label.
+    - `0`: Abusive
+    - `1`: Normal
+    - `2`: Hate
+
+## Citation
+> **Mulki, H., et al. (2019).** "L-HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive Language."