CoolFace
Datasetpublicgated

djelia/danube

danube A 1,000-utterance Bambara speech sample — 0.87 hours of 16 kHz audio with transcripts and per-utterance speaker labels. Small enough to be a working sample rather than a training corpus. Load from datasets import load_dataset ds = load_dataset("djelia/danube", split="train") print(ds[0]["text"], ds[0]["speaker_id"], ds[0]["duration"]) One config and one split. Config Split Rows Audio default train 1,000 0.865 h Fields… See the full description on the dataset page: https://huggingface.co/datasets/djelia/danube.

sourceHugging Faceupdated 2mo agoView on Hugging Face
0likes9downloads
discussions and pull requests

Conversations for this repository live on Hugging Face.

CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.

Open discussions on Hugging Face
djelia/danube · CoolFace