Peer Mentorship Chat Audio Dataset (France, French)
Overview
Peer Mentorship Chat Audio Dataset (France, French) is an audio dataset. It covers French. Typical applications include conversational AI. The provider lists it without a licence fee; terms should still be confirmed before commercial use.
Primary applications
What the listing offers
- A sample is indicated as available from the provider.
- Version 1 as published by the source.
This dataset consists of audio recordings capturing peer mentorship conversations in France, reflecting informal yet professionally relevantdiscussions between colleagues. The data includes guidance exchanges, experience sharing, problem solving dialogue, and reflective conversations commonly found in mentorship and professional development contexts. The dataset is designed to support speech based AI models for conversational analysis, professional development research, and interpersonal communication understanding. It is particularly useful for applications such as mentorship program analysis, coaching insights, and workplace communication modeling.
Technical specifications
- Modalities
- Audio
- File formats
- Not specified by the provider
- Volume
Related datasets
More in Speech & Audio →French(Canada) Spontaneous Speech Data | 1500 Hours | Audio Data
French(Canada) Real-world Casual Conversation and Monologue speech dataset, covers self-media, conversation, variety show and other generic domains, mirrors real-world…
- Language
- French
- Volume
- 1,500 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
More French speech & audio datasets
All 79 French speech & audio datasets →- Podcast discussion Audio Dataset (France, French)
- Radiology Dictation Audio Dataset (France, French)
- SaaS Renewal Negotiation Audio Dataset (France, French)
- Salon Conversation Audio Dataset (France, French)
- Technical Troubleshooting Speech Dataset for Energy Analysis (France)
- Telemedicine Follow up Audio Dataset (France, French)
- Unsupervised Spontaneous French Speech Data | 10,019 Hours | Large Language Model (LLM) Data
- US French podcast audio, in-studio
- Wealth Management Review Audio Dataset (France, French)
- Canadian French Average Tone Speech Synthesis Corpus | 2 People | Text-to-Speech(TTS) Data