Add dataset README

README.md

@@ -1,22 +1,88 @@
 ---
-dataset_info:
-  features:
-  - name: Rundi
-    dtype: string
-  - name: emotion
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 26423279
-    num_examples: 372664
-  download_size: 17423069
-  dataset_size: 26423279
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: mit
+task_categories:
+- text-classification
+language:
+- run
+tags:
+- emotion
+- african-languages
+- nlp
+- text-classification
+size_categories:
+- 100K<n<1M
 ---
-# Dataset Card for "rundi-emotions-corpus"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+# Rundi Emotion Analysis Corpus
+
+## Dataset Description
+
+This dataset contains emotion-labeled text data in Rundi for emotion classification (joy, sadness, anger, fear, surprise, disgust, neutral). Emotions were extracted and processed from the English meanings of the sentences using the model `j-hartmann/emotion-english-distilroberta-base`. The dataset is part of a larger collection of African language emotion analysis resources.
+
+## Dataset Statistics
+
+- **Total samples**: 372,664
+- **Joy**: 33486 (9.0%)
+- **Sadness**: 26305 (7.1%)
+- **Anger**: 21364 (5.7%)
+- **Fear**: 17917 (4.8%)
+- **Surprise**: 19795 (5.3%)
+- **Disgust**: 31325 (8.4%)
+- **Neutral**: 222472 (59.7%)
+
+## Dataset Structure
+
+### Data Fields
+
+- **Text Column**: Contains the original text in Rundi
+- **emotion**: Emotion label (joy, sadness, anger, fear, surprise, disgust, neutral)
+
+### Data Splits
+
+This dataset contains a single split with all the processed data.
+
+## Data Processing
+
+The emotion labels were generated using:
+- Model: `j-hartmann/emotion-english-distilroberta-base`
+- Processing: Batch processing with optimization for efficiency
+- Deduplication: Duplicate entries were removed based on text content
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("michsethowusu/rundi-emotions-corpus")
+
+# Access the data
+print(dataset['train'][0])
+```
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@dataset{rundi_emotions_corpus,
+  title={Rundi Emotions Corpus},
+  author={Mich-Seth Owusu},
+  year={2025},
+  url={https://huggingface.co/datasets/michsethowusu/rundi-emotions-corpus}
+}
+```
+
+## License
+
+This dataset is released under the MIT License.
+
+## Contact
+
+For questions or issues regarding this dataset, please open an issue on the dataset repository.
+
+## Dataset Creation
+
+**Date**: 2025-07-04
+**Processing Pipeline**: Automated emotion analysis using HuggingFace Transformers
+**Quality Control**: Deduplication and batch processing optimizations applied