Update README.md

README.md

@@ -40,7 +40,38 @@ If you want to download the repository locally via the Hugging Face CLI, run:
 git lfs install
 git clone https://huggingface.co/datasets/PeacefulData/CoVoGER
 ```
+Dataset Structure
+CoVoGER provides 5-best lists generated by standard ASR and ST models (Whisper and SeamlessM4T). The dataset supports ASR and ST tasks for 15 languages and 28 language pairs.
 
+(Please customize the column names below to exactly match your uploaded Parquet/JSONL files.)
+
+- audio_id: Identifier for the original audio file.
+
+- source_language: Language of the spoken audio.
+
+- target_language: Target language for translation (or the same as the source for ASR).
+
+- n_best_hypotheses: A list of the 5-best transcriptions/translations generated by the base models.
+
+reference: The ground truth text.
+
+
+```python
+from datasets import load_dataset
+
+# Load the entire dataset
+dataset = load_dataset("PeacefulData/CoVoGER")
+
+# Print the first sample of the train split
+print(dataset['train'][0])
+
+```
+
+### References
+
+
+
+If you use CoVoGER in your research or the work may be relevant, please consider to cite our EMNLP 2025 paper, thank you!
 
 ```bib
 @inproceedings{yang-etal-2025-covoger,