Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: cc-by-2.5
+license: cc-by-3.0
 task_categories:
 - automatic-speech-recognition
 language:
@@ -14,4 +14,46 @@ language:
 - ss
 - st
 pretty_name: 'Lwazi ASR Corpus: Low Resourced Languages'
----
+---
+
+# Lwazi ASR Corpus Collection
+
+This repository contains a curated collection of the **Lwazi Automatic Speech Recognition (ASR) Corpus** for several low-resourced South African languages. These datasets are designed for use in speech recognition research and development, particularly for underrepresented languages.
+
+## Corpus Overview
+
+Each corpus consists of scripted telephonic speech recordings collected from native speakers, along with corresponding transcriptions. The audio recordings are primarily from general domain telephone conversations. All data is licensed under [Creative Commons BY 2.5](https://creativecommons.org/licenses/by/2.5/), allowing for open research and non-commercial use with attribution.
+
+| Language     | Scripted | License    | Speakers | Hours | Utterances | Domain              |
+|--------------|----------|------------|----------|-------|------------|---------------------|
+| isiNdebele   | ✅       | CC BY 3.0  | 10       | 200   | 6,013      | Telephonic/General  |
+| isiXhosa     | ✅       | CC BY 3.0  | 9        | 210   | 6,242      | Telephonic/General  |
+| isiZulu      | ✅       | CC BY 3.0  | 8        | 199   | 5,785      | Telephonic/General  |
+| Sepedi       | ✅       | CC BY 3.0  | 9        | 190   | 5,640      | Telephonic/General  |
+| Sesotho      | ✅       | CC BY 3.0  | 7        | 202   | 6,027      | Telephonic/General  |
+| Setswana     | ✅       | CC BY 3.0  | 8        | 203   | 5,970      | Telephonic/General  |
+| Siswati      | ✅       | CC BY 3.0  | 10       | 196   | 5,838      | Telephonic/General  |
+| Tshivenda    | ✅       | CC BY 3.0  | 7        | 198   | 5,939      | Telephonic/General  |
+| Xitsonga     | ✅       | CC BY 3.0  | 8        | 214   | 6,426      | Telephonic/General  |
+
+## Use Cases
+
+This corpus is particularly useful for:
+- Training and evaluating ASR models for low-resourced South African languages.
+- Linguistic analysis and phonetic research.
+- Data augmentation and transfer learning tasks in multilingual NLP/ASR.
+
+## Data Structure
+
+Each language corpus includes:
+- `audio/`: Subfolders per speaker that contain WAV audio files sampled from telephonic speech.
+- `transcriptions/`: Text transcripts aligned with audio files.
+- `metadata.csv`: Speaker information, durations, and utterance IDs.
+
+## Licensing
+
+This dataset is licensed under [Creative Commons Attribution 3.0 (CC BY 3.0)](https://creativecommons.org/licenses/by/3.0/). You are free to share and adapt the data with appropriate attribution.The dictionaries made availabe on this site are derived works of the "NCHLT-inlang Pronunciation Dictionaries" by the Meraka Institute, CSIR and the North-West University, available from the RMA and released under a Creative Commons Attribution 3.0 Unported License (CC BY 3.0). When using these dictionaries, please cite the following papers:
+
+## Citation
+
+E. Barnard, M. Davel and C. van Heerden, "ASR Corpus Design for Resource-Scarce Languages," in Proceedings of the 10th Annual Conference of the International Speech Communication Association (Interspeech), Brighton, United Kingdom, September 2009, pp. 2847-2850.