Update README.md

README.md

@@ -1,9 +1,45 @@
+---
+license: mit
+task_categories:
+- audio-classification
+- audio-to-audio
+language:
+- en
+tags:
+- emotional-speech
+- audio-quality
+- perceptual-evaluation
+- codec-evaluation
+- mushra
+- visqol
+- polqa
+size_categories:
+- 1K<n<10K
+---
+
 # EARS-EMO-OpenACE: A Full-band Coded Emotional Speech Quality Dataset
 
 ## Dataset Description
 
 This dataset contains emotional speech samples with human perceptual quality ratings and objective quality metrics. It is designed for research in audio quality assessment, emotion recognition, and codec evaluation.
 
+## Key Features
+- Coded audio sample using Opus, LC3, LC3Plus, and EVS codecs
+- Full-band emotional speech samples (48kHz, 24-bit), total 252 files:
+- Size of 6 speakers x 6 emotions x 4 codecs = 144 scored audio files
+- Size of 6 speakers x 6 emotions x 2 MUSHRA anchors = 72 scored files
+- Size of 6 speakers x 6 emotions x 1 reference = 36 reference files 
+- Human MUSHRA ratings (perceptual quality) obtained from 36 listeners
+- Reference and coded audio pairs available for each emotion and codec
+- Computed VISQOL objective quality scores
+- Computed POLQA objective quality scores
+
+## Applications
+- Audio codec evaluation
+- Perceptual quality modeling
+- Emotion-aware audio processing
+- Quality metric validation
+
 ## Dataset Structure
 
 ```