Improve dataset card: Add audio-text-to-text task category, library, and tags

README.md

@@ -1,7 +1,4 @@
 ---
-license: cc-by-nc-sa-4.0
-task_categories:
-- question-answering
 language:
 - cmn
 - eng
@@ -11,12 +8,23 @@ language:
 - rus
 - spa
 - yue
-pretty_name: CCFQA
+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)
@@ -56,4 +64,4 @@ All datasets are licensed under the [Creative Commons Attribution-NonCommercial
       primaryClass={cs.CL},
       url={https://arxiv.org/abs/2508.07295}, 
 }
-```
+```