Dialogue
Datasets
All datasets matching “Dialogue”Daily_dialogue_dataempathetic_dialoguesPyTorch original implementation of Towards Empathetic Open-domain Conversation Models: a New Benchmark and Datasetapptek_callcenter_dialogues
AppTek Call-Center Dialogues: A Multi-Accent Long-Form Benchmark for English ASR
AppTek Call-Center Dialogues is a long-form conversational speech dataset for automatic speech recognition (ASR), featuring diverse English accents
across multiple service-oriented domains and designed to evaluate models on realistic call-center interactions.
128.6 hours of speech
14 English accent groups
16 service domains
5–15 minute conversations (long-form)
Split-channel audio (one… See the full description on the dataset page: https://huggingface.co/datasets/apptek-com/apptek_callcenter_dialogues.CS-Dialogue
CS-Dialogue: A 104-Hour Dataset of Spontaneous Mandarin-English Code-Switching Dialogues for Speech Recognition
Introduction
CS-Dialogue is a large-scale, publicly available Mandarin-English code-switching speech dialogue dataset. This dataset solves key problems found in existing code-switching speech datasets — mainly their small size, lack of natural conversations, and missing full-length dialogue recordings. It provides a solid foundation for advancing research… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/CS-Dialogue.know_medical_dialogue_v2
Description:
The knowrohit07/know_medical_dialogues_v2 dataset is a collection of conversational exchanges between patients and doctors on various medical topics. It aims to capture the intricacies, uncertainties, and questions posed by individuals regarding their health and the medical guidance provided in response.
🎯 Intended Use:
This dataset is crafted for training Large Language Models (LLMs) with a focus on understanding and generating medically-informed dialogue.… See the full description on the dataset page: https://huggingface.co/datasets/knowrohit07/know_medical_dialogue_v2.empathetic_dialogues_for_lm