ChuGyouk/Arguinas
收藏Hugging Face2026-04-21 更新2026-04-26 收录
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---
size_categories:
- 1K<n<10K
language:
- en
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
- name: title
dtype: string
- name: background
dtype: string
- name: argument
dtype: string
- name: fallacy_info
struct:
- name: rationale
dtype: string
- name: type
dtype: string
- name: sections
struct:
- name: check_faithfulness
struct:
- name: faithfulness
dtype: bool
- name: feedback_faithfulness
dtype: string
- name: check_validity
struct:
- name: final_formalized_conclusion
dtype: string
- name: necessary_formalized_premises
dtype: string
- name: valid_formalized_premises
list: string
- name: validity
dtype: string
- name: z3_program
dtype: string
- name: reconstruction
struct:
- name: conclusion
dtype: string
- name: definition
dtype: string
- name: formalized_conclusion
dtype: string
- name: formalized_intermediate_conclusions
dtype: string
- name: formalized_premises
dtype: string
- name: intermediate_conclusions
dtype: string
- name: premises
dtype: string
- name: streamlined
struct:
- name: valid_conclusion
dtype: string
- name: valid_premises
list: string
- name: explicit_premises
list: string
- name: implicit_premises
list: string
splits:
- name: train
num_bytes: 61877399
num_examples: 2934
- name: test
num_bytes: 4997520
num_examples: 241
download_size: 24779661
dataset_size: 66874919
---
# Argument Reconstruction as Supervision for Critical Thinking in LLMs
[](https://arxiv.org/abs/2603.17432) [](#bibtex)
**Arguinas** (**Argu**ment reconstruct**i**o**n**) dat**a**set as presented in our paper:
[**Argument Reconstruction as Supervision for Critical Thinking in LLMs**](https://arxiv.org/abs/2603.17432)
by Hyun Ryu<sup>\*1,2</sup>, Gyouk Chu<sup>\*2</sup>, Gregor Betz<sup>3</sup>, Eunho Yang<sup>2</sup>, Carolyn Rosé<sup>†1</sup>, and Sean Welleck<sup>†1</sup>
<sup>1</sup>Language Technologies Institute, Carnegie Mellon University <sup>2</sup>Graduate School of AI, Korea Advanced Institute of Science & Technology <sup>3</sup>Department of Philosophy, Karlsruhe Institute of Technology <sup>\*</sup>Equal Contribution <sup>†</sup>Equal Advising
<p align="center">
<img src="gaar_engine_github.png" alt="GAAR" width="80%" />
</p>
---
## 🔔 Updates
- [✔] (25.04.21) The Arguinas dataset are out.
- [✔] (26.03.18) Paper is out! [here](https://arxiv.org/abs/2603.17432)
---
## 🏋️ Data
Our train and test Arguinas datasets are open! **See [`data/README.md`](https://github.com/GyoukChu/Arguinas/blob/main/data/README.md) for the full data format (top-level columns, `fallacy_info`, `sections`, etc.).**
The source dataset of arguments are [DebateLabKIT/arguments-and-debates](https://huggingface.co/datasets/DebateLabKIT/arguments-and-debates), [Anthropic/persuasion](https://huggingface.co/datasets/Anthropic/persuasion), and [webis/args_me](https://huggingface.co/datasets/webis/args_me).
### Statistics
| Sources | # Data | Avg. Words in Argument | Author of Argument | # Premises | % Implicit Premises |
|----------------------------------|--------|-------------------------|--------------------|------------|---------------------|
| Procon.org | 282 | 178.01 ± 100.68 | Staff Editors | 6.46 ± 2.95| 45.39 ± 19.39 |
| Pros-and-cons-1950 | 119 | 43.41 ± 8.98 | Educators | 5.59 ± 1.82| 47.41 ± 18.08 |
| Pros-and-cons-2010 | 373 | 83.53 ± 25.81 | Educators | 5.79 ± 2.20| 51.99 ± 18.13 |
| NYT-room-for-debate | 297 | 398.21 ± 92.02 | Journalists | 8.13 ± 3.39| 41.68 ± 15.54 |
| Anthropic/Persuasion | 287 | 252.33 ± 37.34 | Human / Claude | 8.47 ± 3.15| 40.42 ± 17.57 |
| Synthetic Arguments | 1,520 | 332.60 ± 190.55 | GPT-5 / GPT-5.1 | 9.14 ± 4.28| 37.88 ± 15.29 |
| Synthetic *Fallacious* Arguments | 297 | 296.45 ± 160.88 | GPT-5.2 | 8.40 ± 4.28| 35.70 ± 19.11 |
| **Total** | 3,175 | 269.48 ± 177.21 | - | 8.15 ± 3.94| 40.94 ± 17.46 |
<a id="bibtex"></a>
## 📚 BibTeX
If you find this repo useful for your research, please consider citing us:
```
@article{ryu2026argument,
title={Argument Reconstruction as Supervision for Critical Thinking in LLMs},
author={Ryu, Hyun and Chu, Gyouk and Betz, Gregor and Yang, Eunho and Rose, Carolyn and Welleck, Sean},
journal={arXiv preprint arXiv:2603.17432},
year={2026}
}
```
## ✉️ Contact
If you have any questions or feedback, feel free to reach out:
- Hyun Ryu: ryuhyun1905@kaist.ac.kr
- Gyouk Chu: kyouwook@kaist.ac.kr
提供机构：
ChuGyouk
