Update README.md

README.md

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+# HateXplain: Annotated Dataset for Hate Speech and Offensive Language Explanation
+
+![HateXplain Logo](https://raw.githubusercontent.com/hate-alert/HateXplain/main/img/hatexplain-logo.png)
+
+**HateXplain** is a benchmark dataset for hate speech and offensive language detection, uniquely annotated with *explanations* and *rationales*. It is designed to support the development of interpretable models in online content moderation.
+
 ---
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 2902244
-    num_examples: 20148
-  download_size: 1767746
-  dataset_size: 2902244
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+
+## 📚 Dataset Summary
+
+- **Languages**: English  
+- **Samples**: ~20,000 social media posts  
+- **Annotations**:
+  - `label`: `normal`, `offensive`, or `hatespeech`
+  - `annotators`: Multiple annotators per post with consensus labeling
+  - `rationales`: Token-level binary rationales indicating why the label was chosen
+
 ---
-# Dataset Card for "HateXplain"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## 📁 Dataset Structure
+
+| Column        | Description                                                               |
+|---------------|---------------------------------------------------------------------------|
+| `post_id`     | Unique ID for each post (e.g., Twitter ID)                                |
+| `post_tokens` | List of tokenized words from the post                                     |
+| `annotators`  | List of dictionaries with label, annotator_id, and rationale              |
+| `rationales`  | List of lists indicating which tokens are part of the explanation         |
+
+---
+
+## 🔍 Example Entry
+
+```json
+{
+  "post_id": "1179055004553900032_twitter",
+  "post_tokens": ["i", "dont", "think", "im", "getting", "my", "baby", "them", "white", "9", "s", "for", "school"],
+  "annotators": [
+    {
+      "label": "normal",
+      "annotator_id": 1,
+      "rationale": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+    }
+  ],
+  "rationales": []
+}