{
 "id": "apptek-com/apptek_callcenter_dialogues",
 "owner": "apptek-com",
 "name": "apptek_callcenter_dialogues",
 "downloads": 6268,
 "likes": 41,
 "last_modified": "2026-08-25T10:19:26.000Z",
 "stated_licence": "cc-by-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "automatic-speech-recognition"
 ],
 "citation": "<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->\n\n**BibTeX:**\n\n@misc{beck2026apptekcallcenterdialoguesmultiaccent,\n      title={AppTek Call-Center Dialogues: A Multi-Accent Long-Form Benchmark for English ASR}, \n      author={Eugen Beck and Sarah Beranek and Uma Moothiringote and Daniel Mann and Wilfried Michel and Katie Nguyen and Taylor Tragemann},\n      year={2026},\n      eprint={2604.27543},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL},\n      url={https://arxiv.org/abs/2604.27543}, \n}\n\n**APA:**\n\nBeck, E., Beranek, S., Moothiringote, U., Mann, D., Michel, D., Nguyen, K., & Tragemann, T. (2026). *AppTek Call-Center Dialogues: A Multi-Accent Long-Form Benchmark for English ASR*  \nhttps://arxiv.org/abs/2604.27543",
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 "reason": "The declared licence (cc-by-sa-4.0) is classified as share-alike.",
 "revision": "b98967d9946f7f59f58d08624a2a00fe98fe0219",
 "stated_evidence": "https://huggingface.co/datasets/apptek-com/apptek_callcenter_dialogues/blob/b98967d9946f7f59f58d08624a2a00fe98fe0219/README.md",
 "file_evidence": "https://huggingface.co/datasets/apptek-com/apptek_callcenter_dialogues/tree/b98967d9946f7f59f58d08624a2a00fe98fe0219",
 "card_nc": false
}