Update README.md

README.md

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 # 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 14,400 speech samples.
 - **Language**: Mandarin Chinese, English, French, Japanese, Korean, Russian, Spanish, Cantonese(HK)
-- **ISO-3 Code**: cmn, eng, fra, jpn, kor, rus, spa, yue 
-
+- **ISO-3 Code**: cmn, eng, fra, jpn, kor, rus, spa, yue
+- **Data Size**: 14,400 sample 
+- **Data Split**: Test
+- **Data Source**: Native speakers  (6 males and 6 females)
+- **Domain**: Factuality Evaluation
+- **Task**: Spoken Question Answering(SQA)
+- **License**: CC BY-NC-SA-4.0
+- 
 📄Paper：[https://arxiv.org/abs/2508.07295](https://arxiv.org/abs/2508.07295)
 
 ## How to use
-
-
-
 ```python
 from datasets import load_dataset
 
@@ -48,16 +51,12 @@ print(ccfqa)
 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},
+      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 Ming Liu and Yang Xiang},
       year={2025},
       eprint={2508.07295},
       archivePrefix={arXiv},