Constarium
← Search

Text · dataset · 2026

AppTek Call-Center Dialogues

Listed in Hugging Face Datasets

Description

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: huggingface.co/datasets/apptek-com/apptek_callcenter_dialogues.

Links

Documentation and papers

Catalogue records · 1

Topics

Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsapptek-com/apptek_callcenter_dialogues11 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:audiosource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:audiomapping · Hugging Facevocabulary-mapper@1.0.0keywords['audio']
concepts[task].hf_task:automatic-speech-recognitionsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0