task_categories:text-generation size_categories:1K<n<10K license:gpl-3.0 alpaca llama arxiv:2307.08701 region:us
---
dataset_info:
  features:
  - name: instruction
    dtype: string
  - name: input
    dtype: string
  - name: output
    dtype: string
  splits:
  - name: train
    num_bytes: 3918129
    num_examples: 9229
  download_size: 2486877
  dataset_size: 3918129
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: gpl-3.0
task_categories:
- text-generation
tags:
- alpaca
- llama
size_categories:
- 1K<n<10K
---
# Alpagasus (unofficial)

📝 [Paper](https://arxiv.org/abs/2307.08701) | 📄 [Blog](https://lichang-chen.github.io/AlpaGasus/) | 💻 [Code](https://github.com/gpt4life/alpagasus/tree/main) | 🤗 [Model](https://huggingface.co/gpt4life/alpagasus-7b) (unofficial)

Dataset of the unofficial implementation of AlpaGasus made by [gpt4life](https://github.com/gpt4life). It is a filtered version of the original Alpaca dataset with GPT-4 acting as a judge.

<center><img src="https://lichang-chen.github.io/AlpaGasus/elements/images/overview.svg"></center>

The authors showed that models trained on this version with only 9k samples outperform models trained on the original 52k samples.