Update README.md

README.md

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----
-license: mit
-dataset_info:
-  features:
-  - name: input_ids
-    sequence: int32
-  - name: attention_mask
-    sequence: int8
-  - name: labels
-    sequence: int64
-  splits:
-  - name: train
-    num_bytes: 121374360
-    num_examples: 43410
-  - name: validation
-    num_bytes: 15171096
-    num_examples: 5426
-  - name: test
-    num_bytes: 15173892
-    num_examples: 5427
-  download_size: 2670120
-  dataset_size: 151719348
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
----
+---
+license: mit
+dataset_info:
+  features:
+  - name: input_ids
+    sequence: int32
+  - name: attention_mask
+    sequence: int8
+  - name: labels
+    sequence: int64
+  splits:
+  - name: train
+    num_bytes: 121374360
+    num_examples: 43410
+  - name: validation
+    num_bytes: 15171096
+    num_examples: 5426
+  - name: test
+    num_bytes: 15173892
+    num_examples: 5427
+  download_size: 2670120
+  dataset_size: 151719348
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+
+
+# 📚 GoEmotions Dataset (Processed for Multi-Label Classification)
+
+## 📖 Dataset Overview
+This dataset is a **preprocessed version of the GoEmotions dataset**, containing **multi-label emotion annotations** for text inputs. It consists of **train, validation, and test splits**.
+
+## 🔢 Dataset Statistics
+| Split       | Samples |
+|------------|---------|
+| **Train**  | XX,XXX  |
+| **Validation** | X,XXX |
+| **Test**   | X,XXX |
+
+## 📌 Features
+| Feature          | Type            | Description |
+|-----------------|----------------|-------------|
+| `input_ids`     | `list[int]`     | Tokenized input text |
+| `attention_mask` | `list[int]`     | Attention mask for tokens |
+| `labels`        | `list[int]`     | Multi-label emotion encoding |
+
+## 📂 How to Load
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("codewithdark/go-emotions-processed")
+print(dataset["train"][0])
+```
+
+## 🏋️‍♂️ Preprocessing Steps
+- **Tokenization:** `bert-base-uncased`
+- **Multi-label encoding:** Binary encoding of emotions
+- **Train/Validation/Test split:** `80/10/10`
+
+## 🎯 Labels (Emotions)
+The dataset contains **27 emotion categories**, including:
+- Admiration, Joy, Sadness, Anger, Optimism, Disgust, Love, etc.
+
+## 🛠️ Citation
+If you use this dataset, please cite:
+```bibtex
+@misc{go_emotions_dataset,
+  author = {Google AI},
+  title = {GoEmotions Dataset},
+  year = {2021},
+  url = {https://huggingface.co/datasets/go_emotions}
+}
+```
+
+
+
+
+
+