Update README.md

README.md

@@ -6,7 +6,144 @@ language:
 - en
 tags:
 - emotion
-pretty_name: Go-Emotions
+pretty_name: Go-Emotions (Preprocessed)
 size_categories:
 - 10K<n<100K
----
+task_ids:
+- multi-label-classification
+dataset_info:
+  features:
+  - name: text
+    dtype: string
+  - name: labels
+    dtype: sequence
+    feature:
+      dtype: int32
+  splits:
+  - name: train
+  - name: validation
+  - name: test
+---
+
+# GoEmotions (Preprocessed)
+
+## Dataset Description
+
+This dataset contains a **preprocessed and standardized version of GoEmotions** for **multi-label emotion classification**.  
+It is designed for seamless use with **transformer-based language models** and consistent benchmarking alongside other emotion datasets.
+
+The preprocessing ensures unified label representations and removes unnecessary metadata while preserving the original semantic and emotional content.
+
+---
+
+## Supported Tasks
+
+- Multi-label emotion classification
+- Emotion representation learning
+- Cross-dataset benchmarking
+
+---
+
+## Dataset Structure
+
+The dataset is split into:
+
+- `train`
+- `validation`
+- `test`
+
+Each split follows the same schema.
+
+---
+
+## Data Format
+
+Each example consists of:
+
+- **`text`** (`string`): Preprocessed text input
+- **`labels`** (`List[int]`): Multi-one-hot encoded emotion labels (length = 28)
+
+Each label is binary:
+- `1` → emotion present  
+- `0` → emotion absent  
+
+Multiple emotions may be active for a single sample.
+
+---
+
+## Emotion Label Mapping (28 Classes)
+
+| Index | Emotion |
+|------:|---------|
+| 0 | Admiration |
+| 1 | Amusement |
+| 2 | Anger |
+| 3 | Annoyance |
+| 4 | Approval |
+| 5 | Caring |
+| 6 | Confusion |
+| 7 | Curiosity |
+| 8 | Desire |
+| 9 | Disappointment |
+| 10 | Disapproval |
+| 11 | Disgust |
+| 12 | Embarrassment |
+| 13 | Excitement |
+| 14 | Fear |
+| 15 | Gratitude |
+| 16 | Grief |
+| 17 | Joy |
+| 18 | Love |
+| 19 | Nervousness |
+| 20 | Optimism |
+| 21 | Pride |
+| 22 | Realization |
+| 23 | Relief |
+| 24 | Remorse |
+| 25 | Sadness |
+| 26 | Surprise |
+| 27 | Neutral |
+
+---
+
+## Preprocessing Details
+
+The following preprocessing steps were applied:
+
+- Conversion to **multi-one-hot label encoding**
+- Standardization to a fixed **28-class emotion space**
+- Removal of extraneous metadata
+- Text normalization
+- Preprocessing applied **before tokenization**
+
+---
+
+## Intended Use
+
+This dataset is intended for:
+
+- Training and evaluating multi-label emotion classifiers
+- Transformer-based NLP experiments
+- Emotion analysis and representation learning
+
+---
+
+## Limitations
+
+- The dataset contains **preprocessed text only**
+- Raw GoEmotions data is not included
+- Emotion annotations reflect annotator perception and may contain subjectivity
+
+---
+
+## Citation
+
+If you use this dataset, please cite the original GoEmotions paper:
+
+```bibtex
+@inproceedings{demszky2020goemotions,
+  title     = {GoEmotions: A Dataset of Fine-Grained Emotions},
+  author    = {Demszky, Dorottya and Movshovitz-Attias, Dana and Ko, Jeongwoo and Cowen, Alan and Nemade, Gaurav and Ravi, Sujith},
+  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
+  year      = {2020}
+}