metadata
dataset_info:
features:
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: train
num_bytes: 15740872
num_examples: 2208
download_size: 7341426
dataset_size: 15740872
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- text-generation
- text2text-generation
- question-answering
language:
- en
size_categories:
- 1K<n<10K
Description
The dataset is from medalpaca/medical_meadow_mediqa, formatted as dialogues for speed and ease of use. Many thanks to author for releasing it.
Importantly, this format is easy to use via the default chat template of transformers, meaning you can use huggingface/alignment-handbook immediately, unsloth.
Structure
View online through viewer.
Note
We advise you to reconsider before use, thank you. If you find it useful, please like and follow this account.
Reference
The Ghost X was developed with the goal of researching and developing artificial intelligence useful to humans.
- HuggingFace: ghost-x
- Github: ghost-x-ai
- X / Twitter: ghostx_ai
- Website: ghost-x.org
Citation
@article{savery2020question,
title={Question-driven summarization of answers to consumer health questions},
author={Savery, Max and Abacha, Asma Ben and Gayen, Soumya and Demner-Fushman, Dina},
journal={Scientific Data},
volume={7},
number={1},
pages={322},
year={2020},
publisher={Nature Publishing Group UK London}
}