Griots Interviews, Bambara Language WAV, 30 hours, Recorded 2022, Cultural and ASR Training Resource
<p><strong>Source material to this project:</strong></p> <ul> <li> <p>Addition to 200,000 lines Bambara-French clean synchronized corpus</p> </li> <li> <p>Co-project with Google, recorded 30 hours video interviews with Griots</p> </li> <li> <p>30 hours manually transcribed and translated to French</p> </li> <li> <p>10 hours used in training ASR system and MT transformer</p> </li> <li> <p>100% Open Sourced</p> </li> <li> <p>Cultural/Technical Exhibition to be hosted online and in the National Museum of Mali</p> </li> <li> <p>Record, preserve, and share Malian culture with the world</p> </li> <li> <p>Contribute to the science of low-resource language NLP</p> </li> <li> <p>Reinforce the development of written Bambara</p> </li> <li> <p>Enable Bambara to reach status as a “first-class internet language”</p> </li> </ul> <p>Corresponding transcribed data can be found at the following <a href="https://github.com/robotsmali-ai/jeli-asr">Github repository</a></p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4