Datasets:
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README.md
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path: "rt-data-collection/train/*.arrow"
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The **Bambara-ASR-
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The dataset includes various subsets: `jeli-asr`, `oza-mali-pense`, and `rt-data-collection`. Each audio file is aligned with Bambara transcriptions or French translations, making it suitable for tasks such as automatic speech recognition (ASR) and translation.
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Data sources include all publicly available collections of audio with Bambara transcriptions, organized for accessibility and usability.
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# All Bambara ASR Dataset
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This dataset
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## Important Notes
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path: "rt-data-collection/train/*.arrow"
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The **Bambara-ASR-Early Audio Dataset** is a multilingual dataset containing audio samples in Bambara, accompanied by semi-expert transcriptions and French translations.
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The dataset includes various subsets: `jeli-asr`, `oza-mali-pense`, and `rt-data-collection`. Each audio file is aligned with Bambara transcriptions or French translations, making it suitable for tasks such as automatic speech recognition (ASR) and translation.
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Data sources include all publicly available collections of audio with Bambara transcriptions as of December 2024, organized for accessibility and usability.
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# All Bambara ASR Dataset
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This is the dataset that fueled our early ASR experiments that gave as results the V0 models. It is primarily composed of the **Jeli-ASR** dataset (available at [RobotsMali/jeli-asr](https://huggingface.co/datasets/RobotsMali/jeli-asr)), along with the **Mali-Pense** data curated and published by Aboubacar Ouattara (available at [oza75/bambara-tts](https://huggingface.co/datasets/oza75/bambara-tts)). Additionally, it includes 1 hour of audio recently collected by the RobotsMali AI4D Lab, featuring children's voices reading some of RobotsMali GAIFE books. This dataset is designed for automatic speech recognition (ASR) task primarily.
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## Important Notes
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