File size: 1,235 Bytes
5793e54 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
---
license: cc-by-nc-4.0
dataset_info:
features:
- name: text
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: train
num_bytes: 3946452
num_examples: 3067
download_size: 1687475
dataset_size: 3946452
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# HerO at AVeriTeC
**[Paper](https://arxiv.org/abs/2410.12377) | [Code](https://github.com/ssu-humane/HerO)**
## Summaries
This is the modified instruction-tuning dataset derived from the [AVeriTeC dataset](https://huggingface.co/chenxwh/AVeriTeC), designed for fine-tuning large language models to predict verdicts and justifications in fact-checking tasks within AVeriTeC.
## License
This dataset is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License, following the original [AVeriTeC dataset](https://huggingface.co/chenxwh/AVeriTeC) license."
## Citation
```
@article{yoon2024hero,
title={HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims},
author={Yoon, Yejun and Jung, Jaeyoon and Yoon, Seunghyun and Park, Kunwoo},
journal={arXiv preprint arXiv:2410.12377},
year={2024}
}
``` |