emobooks-dataset / README.md
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---
license: mit
task_categories:
- text-generation
language:
- si
- en
tags:
- recommendation-system
- emotions
- sinhala
- singlish
size_categories:
- 1K<n<10K
---
# emoBooks Dataset 📚✨
## Overview
The **emoBooks** dataset is a curated collection of conversational samples designed to train AI models for **emotion-aware book recommendations**. It focuses on understanding user emotions and providing relevant book suggestions in "Singlish" (transliterated Sinhala).
The dataset follows a **Match/Switch** logic:
- **Match**: Recommend books that align with the user's current emotional state.
- **Switch**: Recommend books that help transition the user to a more positive emotional state (e.g., from Sadness to Joy).
## Dataset Structure
The dataset is provided in a standard **ChatML/OpenAI format**, making it ideal for instruction fine-tuning of models like Llama-3, Mistral, or Gemma.
### Format
Each entry is a JSON object with a `messages` list:
```json
{
"messages": [
{ "role": "user", "content": "I feel very lonely and sad today." },
{ "role": "assistant", "content": "I can sense you're feeling that way. Would you like a book that matches your current mood, or something to help you switch to a more positive state?" },
{ "role": "user", "content": "I'd like something that matches how I feel." },
{ "role": "assistant", "content": "I understand. Since you're looking for something that matches your mood, I recommend 'Maha Nidagala Saha Abirahasa' by 'Dhigala'. It's a deep 'Translations' book that resonates with those feelings." }
]
}
```
## Emotion Categories
The dataset covers 8 primary emotional states:
1. **Sadness** (0)
2. **Joy** (1)
3. **Love** (2)
4. **Anger** (3)
5. **Fear** (4)
6. **Surprise** (5)
7. **Disgust** (6)
8. **Calm** (7)
## Book Categories
The recommendations include various genres:
- Children's Stories (ළමා කතා)
- Novels (නවකතා)
- Translations (පරිවර්තන)
- Biographies (චරිතාපදාන)
- Short Stories (කෙටි කතා)
## Data Generation
This dataset was synthetically generated using a custom pipeline that:
1. Transliterated Sinhala book titles and authors into Singlish.
2. Mapped book categories to primary emotions.
3. Generated conversational templates for various user-assistant interactions.
## Intended Use
This dataset is intended for:
- Fine-tuning Large Language Models (LLMs) for recommendation systems.
- Research in emotion-aware conversational AI.
- Developing bilingual (Sinhala/English) literary assistants.
## Licensing
[MIT License] - Free to use for research and development.