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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01apptek-com /apptek_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.audioautomatic-speech-recognition1K<n<10K37 likes2.4k downloads1mo agoHugging Face02wilzzzz /paralinguistic_dialoguesaudio10K<n<100K1 likes440 downloads6mo agoHugging Face03josemancharo /apptek_callcenter_dialogues_travel_hospitality_no_transcripts AppTek Call-Center Dialogues — Travel and Hospitality (No Transcripts) This is a filtered derivative of AppTek Call-Center Dialogues, prepared for a specific use case. Changes from the source dataset Restricted the dataset to the travel and hospitality domains. Removed the transcript field (text) entirely. Kept the original audio and the domain, gender, and accent metadata. Preserved the source dataset's test split. This dataset has transcripts removed and is… See the full description on the dataset page: https://huggingface.co/datasets/josemancharo/apptek_callcenter_dialogues_travel_hospitality_no_transcripts.audioaudio-classificationn<1K0 likes163 downloads1mo agoHugging Face04hussxamg04 /apptek_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 speaker… See the full description on the dataset page: https://huggingface.co/datasets/hussxamg04/apptek_callcenter_dialogues.audioautomatic-speech-recognition1K<n<10K0 likes77 downloads5mo agoHugging Face05wyluilipe /diar-finetune-dataset-chatterbox-dialoguesaudion<1K0 likes16 downloads1y agoHugging Face06APEX-SUPERB /dialogue_seraudion<1K0 likes5 downloads1y agoHugging Face07dkulemin /gothic_orig_ru_dialoguesaudio1K<n<10K0 likes4 downloads1y agoHugging Face

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