Update README.md

README.md

@@ -1,3 +1,133 @@
----
-license: cc-by-4.0
----
+
+## Dataset Description
+
+Dialectra Yoruba Speech Corpus v1 is an open speech dataset collected from native Yoruba speakers across multiple regions and dialect communities.
+
+The dataset was created to support the development of speech technologies for Yoruba, including Automatic Speech Recognition (ASR), Speech-to-Text (STT), Text-to-Speech (TTS), dialect research, and broader language technology applications.
+
+This release contains transcribed speech recordings collected and verified through Dialectra's speech data platform.
+
+## Motivation
+
+Despite being spoken by tens of millions of people across Nigeria and the global diaspora, Yoruba remains underrepresented in modern speech AI systems.
+
+Dialectra was established to build dialect-aware speech infrastructure for African languages through:
+
+* Speech collection
+* Annotation
+* Human verification
+* Benchmarking
+* Dialect evaluation
+* Conversational speech infrastructure
+
+This dataset is part of that mission.
+
+## Dataset Summary
+
+| Metric            | Value              |
+| ----------------- | ------------------ |
+| Language          | Yoruba             |
+| Country           | Nigeria            |
+| Audio Format      | WAV                |
+| Sampling Rate     | 16 kHz             |
+| Dataset Version   | v1                 |
+| Speakers          | 41                 |
+| Audio Samples     | 310                |
+| Duration          | 40 minutes +       |
+| Collection Method | Dialectra platform |
+
+## Dialect Coverage
+
+The dataset includes recordings from Yoruba speakers across different regions.
+
+Examples include:
+
+* Standard Yoruba
+* Oyo
+* Ibadan
+* Ijebu
+* Ekiti
+* Ondo
+* Mixed Yoruba variants
+
+Dialect representation may not be perfectly balanced.
+
+Researchers are encouraged to evaluate model performance across dialect groups independently.
+
+## Data Collection Process
+
+Speech samples were collected through the Dialectra platform.
+
+Contributors voluntarily participated and recorded speech tasks using mobile and web interfaces.
+
+Collection methods included:
+
+* Scripted speech
+* Prompt-based recordings
+* Read speech
+
+All contributors agreed to the platform's contribution and licensing terms.
+
+## Intended Uses
+
+### Suitable For
+
+* Automatic Speech Recognition (ASR)
+* Speech-to-Text (STT)
+* Text-to-Speech (TTS)
+* Dialect Classification
+* Speech Research
+* Acoustic Modeling
+* Language Technology Development
+
+### Out-of-Scope Uses
+
+* Speaker Identification
+* Biometric Authentication
+* Demographic Profiling
+* Surveillance Applications
+
+## Benchmarking
+
+Dialectra maintains internal benchmarking pipelines for evaluating speech quality and transcription accuracy.
+
+Metrics may include:
+
+* Word Error Rate (WER)
+* Character Error Rate (CER)
+* Dialect Recognition Rate (DRR)
+* Dataset Coverage
+
+Benchmark reports may be released separately.
+
+## Ethical Considerations
+
+Researchers should consider:
+
+* Dialect representation imbalance
+* Regional variation
+* Demographic coverage
+* Potential biases within speech data
+
+The dataset should be used responsibly and in compliance with applicable laws and regulations.
+
+## License
+
+CC-BY-4.0
+
+## Citation
+
+@dataset{dialectra_yoruba_2026,
+title={Dialectra Yoruba Speech Corpus v1},
+author={Dialectra},
+year={2026},
+publisher={Hugging Face}
+}
+
+## About Dialectra
+
+Dialectra is building dialect-aware speech infrastructure for African languages through speech collection, annotation, benchmarking, conversational datasets, and speech intelligence systems.
+
+Website: https://dialectra.io
+
+Contact: [bakaka@dialectra.io](mailto:bakaka@dialectra.io)