Update README.md

README.md

@@ -6,4 +6,40 @@ language:
 - zh
 size_categories:
 - 1K<n<10K
----
+---
+
+# Chinese Speech Emotional Understanding Benchmark (CSEU-Bench)
+
+- The benchmark aims to evaluate the ability of understanding psycho-linguistic emotion labels in Chinese speech. It contains Chinese speech audios with diverse syntactic structures, and 83 psycho-linguistic emotion entities as classification labels.
+
+- Github: https://github.com/qiuchili/CSEU-Bench
+
+# CSEU-Bench Components:
+
+- `CSEU-Bench.csv`: all speech samples
+- `CSEU-monosyllabic.csv`: speech samples with single-syllable words
+- `CSEU-bisyllabic.csv`: speech samples with two-syllable words
+- `CSEU-short-sentence.csv`: speech samples with short sentences
+- `CSEU-discourse.csv`: discourse speech samples
+
+# Columns in data files:
+
+- `target`: speech scripts
+- `target_audio`: speech audio file paths
+- `sample_type`: syntactic structure of speech. monosyllabic, bisyllabic, short-sentence or discourse.
+- `judgment`: 8 human judgment labels for each sample. For all labels, refer to utils/const.py in https://github.com/qiuchili/CSEU-Bench.
+- `literal_sentiment`: Binary values indicating whether each speech audio is neutral by literal meaning. Only applies to discourse samples.
+- `target_attitude`: golden speech emotion labels. For all labels, refer to utils/const.py in https://github.com/qiuchili/CSEU-Bench.
+
+# Usage
+
+- For dataset loading, use python `pandas`:
+```Python
+import pandas as pd
+
+df = pd.read_csv("CSEU-xxx.csv")
+```
+
+- For running the experiments, please refer to https://github.com/qiuchili/CSEU-Bench. 
+
+