Text / AI & Machine Learning
Casual Group Conversation Text Dataset (India, English)
Advertised by providerLicensing rights not independently verifiedNo licence fee listed
Overview
Casual Group Conversation Text Dataset (India, English) is a text dataset. It covers English. Typical applications include conversational AI. Relevant sectors: AI & Machine Learning. The listing mentions transcription. The provider lists it without a licence fee; terms should still be confirmed before commercial use.
Primary applications
What the listing offers
- Listing mentions transcription.
- A sample is indicated as available from the provider.
- Version 1 as published by the source.
Text transcripts of casual group conversations in India capturing natural dialogue and informal language patterns. Supports general NLP training for conversation modeling.
Technical specifications
- Modalities
- Text
- File formats
- Not specified by the provider
- Volume
- Not specified by the provider
Related datasets
More in Text & Language →Audio · TextAdvertised
American English Conversational Speech Data by Mobile Phone | 1,136 Hours | Multilingual Language Data
English(the United States) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering generic domain.
- Language
- English
- Volume
- 1,136 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
USD 20,000
More English text & language datasets
All 217 English text & language datasets →- Casual Group Conversation Text Dataset (United Kingdom, English)
- Casual Group Conversation Text Dataset (United States, English)
- Chatbot Conversation Dataset [English & Hindi] – Real Customer Service Audio for Chatbot Training
- Chemistry Domain Experts Prompts & Responses
- Chinese and English Bilingual Multimodal Dermatology Online Consultation
- Chinese and English Bilingual Multimodal Perioperative Online Consultation
- Chinese College Entrance Exam Bio Reasoning Dataset
- Chinese College Entrance Exam STEM Reasoning Dataset
- Clinical Document Structuring Using SOAP Notes