Datasets:
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- **Models**: Test with [RobotsMali ASR models](https://huggingface.co/RobotsMali/models)
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- **App**: Collect similar data via [An Bɛ Kalan](https://play.google.com/store/apps/details?id=org.robotsmali.literacy_app).
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This README is self-contained; explore the attached report PDF for detailed human annotations and model rankings on these exact 45 samples!
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- **Models**: Test with [RobotsMali ASR models](https://huggingface.co/RobotsMali/models)
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- **App**: Collect similar data via [An Bɛ Kalan](https://play.google.com/store/apps/details?id=org.robotsmali.literacy_app).
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## Citation
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BibTeX reference :
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```bibtex
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@dataset{robotsmali_nyana_eval_2025,
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author = {Robots Mali AI4D Lab},
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title = {Nyana-Eval: 45-sample Human-Evaluated Bambara ASR Test Set},
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year = {2025},
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month = {November},
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publisher = {Hugging Face},
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version = {1.0},
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url = {https://huggingface.co/datasets/RobotsMali/nyana-eval},
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note = {Stratified subset of Bam_ASR_Eva_500 used for human + WER evaluation}
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}
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This README is self-contained; explore the attached report PDF for detailed human annotations and model rankings on these exact 45 samples!
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