| 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 | |
| ``` |