Update README (#4)

- Update README (ee5eac42c74315bba78d305bd9deb19fb5fe5063)


Co-authored-by: Ehsan Variani <[email protected]>

README.md

@@ -114,7 +114,19 @@ configs:
 ---
 # Simple Voice Questions
 
-Simple Voice Questions (SVQ) is a set of short audio questions recorded in 26 locales across 17 languages under multiple audio conditions.
+Simple Voice Questions (SVQ) is a set of short audio questions recorded in 26 locales across 17 languages under multiple audio conditions. It serves as a core evaluation componenet for **Massive Sound Embedding Benchmark (MSEB)**.
+
+## Technical Specifications
+
+| Feature | Details |
+| :--- | :--- |
+| **Locales** | 26 |
+| **Languages** | 17 |
+| **Total Speakers** | ~700 (Capped at 250 recordings per speaker) |
+| **Audio Conditions** | Clean, Background Speech, Media, Traffic Noise |
+| **Gender Classes** | Female, Male, Non-binary, No answer |
+
+---
 
 ## Data Collection
 
@@ -145,3 +157,14 @@ Therefore, to avoid this significant data loss and provide the fullest possible
 as an undivided evaluation set. Users intending to train models with this data will need to devise and implement their own
 splitting strategies, keeping in mind the inherent trade-offs between data volume and strict speaker/text disjointness
 if they attempt to replicate such conditions.
+
+## Citation
+
+If you use this dataset, please cite the MSEB paper:
+
+```bibtex
+@inproceedings{heigoldmassive,
+title={Massive Sound Embedding Benchmark(MSEB)},
+author={Heigold, Georg and Variani, Ehsan and Bagby, Tom and Allauzen, Cyril and Ma, Ji and Kumar, Shankar and Riley, Michael},
+booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
+}