Datasets:
File size: 1,794 Bytes
58ceecb 843415c 58ceecb 843415c 58ceecb df72266 7582370 df72266 58ceecb df72266 e5062c3 df72266 7582370 df72266 e5062c3 7582370 df72266 843415c |
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 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
---
language:
- cmn
- eng
- fra
- jpn
- kor
- rus
- spa
- yue
license: cc-by-nc-sa-4.0
size_categories:
- 10K<n<100K
task_categories:
- question-answering
- audio-text-to-text
pretty_name: CCFQA
library_name: datasets
tags:
- multilingual
- cross-modal
- speech
- text
- factuality
- evaluation
---
# CCFQA
CCFQA is a speech and text factuality evaluation benchmark that measures language models’ ability to answer short, fact-seeking questions and assess their cross-lingual and cross-modal consistency. It consists of speech and text in 8 languages, containing 1,800 n-way parallel sentences and a total of 14,000 speech samples.
- **Language**: Mandarin Chinese, English, French, Japanese, Korean, Russian, Spanish, Cantonese(HK)
- **ISO-3 Code**: cmn, eng, fra, jpn, kor, rus, spa, yue
📄Paper：[https://arxiv.org/abs/2508.07295](https://arxiv.org/abs/2508.07295)
## How to use
```python
from datasets import load_dataset
ccfqa = load_dataset("yxdu/ccfqa")
print(ccfqa)
```
## ⚖️ Evals
please visit [github page](https://github.com/yxduir/ccfqa).
## License
All datasets are licensed under the [Creative Commons Attribution-NonCommercial license (CC-BY-NC)](https://creativecommons.org/licenses/), which allows use, sharing, and adaptation for **non-commercial** purposes only, with proper attribution.
# 🖊Citation
```
@misc{du2025ccfqabenchmarkcrosslingualcrossmodal,
title={CCFQA: A Benchmark for Cross-Lingual and Cross-Modal Speech and Text Factuality Evaluation},
author={Yexing Du and Kaiyuan Liu and Youcheng Pan and Zheng Chu and Bo Yang and Xiaocheng Feng and Yang Xiang and Ming Liu},
year={2025},
eprint={2508.07295},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2508.07295},
}
``` |