---
dataset_info:
  features:
  - name: conversations
    list:
    - name: from
      dtype: string
    - name: value
      dtype: string
  splits:
  - name: train
    num_bytes: 79860701
    num_examples: 30000
  download_size: 38685452
  dataset_size: 79860701
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- question-answering
- text-generation
language:
- zh
---

# Kyara: Knowledge Yielding Adaptive Retrieval Augmentation for LLM Fine-tuning

<p align="left">
    🤗 <a href="https://huggingface.co/zake7749/gemma-2-2b-it-chinese-kyara-dpo">Hugging Face</a>&nbsp ｜ 🚀<a href="https://github.com/zake7749/kyara">Github</a>&nbsp ｜ &nbsp📑 <a href="#">Paper</a>&nbsp ｜ &nbsp📖 <a href="#">English</a>&nbsp ｜ &nbsp📖 <a href="https://github.com/zake7749/kyara">Chinese</a>
</p>
<div style="text-align: center;">
  <img src="https://i.imgur.com/QiWlcYJ.jpeg" alt="kyara"/>
</div>

This is a dataset for training [Kyara](https://huggingface.co/zake7749/gemma-2-2b-it-chinese-kyara-dpo).

We applied [PersonaHub](https://huggingface.co/datasets/proj-persona/PersonaHub) to generate 50K math problems and used `Gemini-1.5-Flash` to filter out data with obvious errors in calculation and reasoning. However, this dataset still contains some computational and logical errors; please use it with caution.