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mjbommar/SHELF

SHELF: Synthetic Harness for Evaluating LLM Fitness SHELF is a synthetic benchmark for evaluating language model fitness on bibliographic classification, retrieval, and clustering tasks using Library of Congress taxonomies. Dataset Summary SHELF contains 62,899 synthetic documents annotated with Library of Congress taxonomies. The primary all configuration contains the complete corpus. Separate Project Gutenberg and LCSHBench configurations are natural-text… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/SHELF.

Author / organizationmjbommar
License (as declared)cc-by-4.0
Downloads953 (as reported by Hugging Face)
Likes0
Created11 December 2025
Last updated at source4 September 2026
library-sciencelibrary-of-congressbibliographic-classificationdocument-classificationtaxonomybenchmarksynthetic-datalcclcgftlcsh
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