xinqiyang/iruca_llama2_japanese_demo

---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 24485.34975369458
num_examples: 15
download_size: 3242
dataset_size: 24485.34975369458
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# iruca-1k: Lazy Llama 2 Formatting

This is a subset (1000 samples) of the excellent [`timdettmers/openassistant-guanaco`](https://huggingface.co/datasets/timdettmers/openassistant-guanaco) dataset, processed to match Llama 2's prompt format as described [in this article](https://huggingface.co/blog/llama2#how-to-prompt-llama-2). It was created using the following [colab notebook](https://colab.research.google.com/drive/1Ad7a9zMmkxuXTOh1Z7-rNSICA4dybpM2?usp=sharing).

Useful if you don't want to reformat it by yourself (e.g., using a script). It was designed for [this article](https://mlabonne.github.io/blog/posts/Fine_Tune_Your_Own_Llama_2_Model_in_a_Colab_Notebook.html) about fine-tuning a Llama 2 (chat) model in a Google Colab.

### Format from xlsx file to CSV

```bash
pip install openpyxl pandas
python generate.py
pip install huggingface_hub

huggingface-cli repo create iruca_llama2_japanese_demo --type dataset
git clone https://huggingface.co/datasets/xinqiyang/iruca_llama2_japanese_demo

```

原始信息汇总

数据集概述

数据集信息

• 特征:
  • 名称: text
  • 数据类型: string
• 分割:
  • 名称: train
  • 字节数: 24485.34975369458
  • 样本数: 15
• 下载大小: 3242
• 数据集大小: 24485.34975369458

配置

• 配置名称: default
• 数据文件:
  • 分割: train
  • 路径: data/train-*