Datasets:
Updated Dataset card to include Reference/Disclaimer
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README.md
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Additional Information](#additional-information)
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- [Contributions](#contributions)
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## Dataset Description
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The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Additional Information](#additional-information)
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- [Reference/Disclaimer](#reference-disclaimer)
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- [Contributions](#contributions)
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## Dataset Description
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The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
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### Reference/Disclaimer
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Just to state it clearly, "the current languages and voices we have on the Nigeria Common Voice Dataset were not all collected from scratch"
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Infact, this wasn't the problem we set out to solve initially. We were working on a speech to speech (stt & tts) conversational model for Nigeria languages, but along the way we had a bottleneck:
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1. The few data (audio) available were scattered and from different sources (Kaggle, Hugging Face, and many other websites).
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2. The data weren't in the format required by the models.
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3. Many of the audios had wrong or no corresponding transcriptions at all.
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So while training our model, we had to gather them into one repository, structure them, clean them (remove/edit wrong transcriptions), and trim most of them to 30 seconds chunks.
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We figured many people had the same issue, hence we uploaded it to Hugging Face and made it public.
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Secondly, we haven't found any publicly available data (audios & transcriptions) for many Nigerian languages that we need (ex. Pidgin, etc).
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So the Nigerian Common Voice Dataset will be an ongoing project to collect as many languages & voices as possible.
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Next, in order to add more languages and voices:
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1. We will crowd-source from volunteers and contributors.
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2. Take advantage of the hundreds of hours of Nigerian movies that are publicly available in different languages.
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Our goal here is just to bring this data into one central repository and make it available to the public (researchers, developers, and all).
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### Contributions
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