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att/OTel-Reranker

OTel-Reranker Dataset Summary OTel-Reranker is a pointwise reranking dataset for training cross-encoder models that score the relevance of a passage to a given query. It is part of the Open Telco (OTel) AI project, the largest open-source AI initiative in telecommunications, curated by over 100 domain experts from industry and academia. Each sample consists of a query-passage pair and a continuous relevance score. The dataset is designed to train cross-encoder… See the full description on the dataset page: https://huggingface.co/datasets/att/OTel-Reranker.

Author / organizationatt
License (as declared)apache-2.0
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Created23 October 2026
Last updated at source23 October 2026
telecommunicationstelecom3gpporangsmaragrerankercross-encoderretrievaldomain-specificotel
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