Improve dataset card: Add paper and code links, add 'benchmark' tag (#1)

- Improve dataset card: Add paper and code links, add 'benchmark' tag (52891a2e639cb9f782bab2ba59d58cb1fa771627)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,10 +1,12 @@
 ---
+language:
+- en
 license: mit
+size_categories:
+- <1K
 task_categories:
 - audio-classification
 - audio-to-audio
-language:
-- en
 tags:
 - emotional-speech
 - audio-quality
@@ -13,12 +15,13 @@ tags:
 - mushra
 - visqol
 - polqa
-size_categories:
-- <1K
+- benchmark
 ---
 
 # EARS-EMO-OpenACE: A Full-band Coded Emotional Speech Quality Dataset
 
+[Paper](https://huggingface.co/papers/2409.08374) | [Code](https://github.com/JozefColdenhoff/OpenACE)
+
 ## Dataset Description
 
 This dataset contains full-band coded emotional speech samples at 16 kbps with human perceptual quality ratings and objective quality metrics. It is designed for research in audio quality assessment, emotion recognition, and codec evaluation.
@@ -167,4 +170,4 @@ If you use this dataset in your research, please cite the following [paper](http
 
 Milos Cernak, milos.cernak at ieee dot org
 
-August 1, 2025
+August 1, 2025