license: cc0-1.0
language:
- en
pretty_name: LCSHBench v1.0
task_categories:
- text-classification
- text-retrieval
tags:
- library-science
- subject-indexing
- LCSH
- cataloging
- multilingual
configs:
- config_name: dev
data_files: dev/dev.jsonl
- config_name: dev_2k
data_files: dev_2k/dev_2k.jsonl
- config_name: test
data_files: test/test.jsonl
- config_name: consensus_matched
data_files: consensus_matched/consensus_matched.parquet
- config_name: vocab
data_files: vocab/vocab.jsonl
LCSHBench v1.0
A multilingual, consensus-grounded benchmark for Library of Congress Subject Heading (LCSH) assignment. Ground truth is the agreement of independent research libraries (Columbia, Harvard, Princeton) cataloging the same work.
Configs
| config | rows | description |
|---|---|---|
dev |
18,993 | development split (full per-catalog + merged + unanimous GT) |
dev_2k |
2,002 | language-balanced 2K evaluation subset |
test |
3,353 | held-out test inputs; answers in gt_test.hashed.json (SHA-256) |
consensus_matched |
1,286,609 | every work cataloged by >=2 libraries: per-library headings (hashed IDs) — the provenance/concordance population |
vocab |
515,281 | LCSH+LCGFT retrieval vocabulary |
Inter-cataloger concordance (why consensus)
Over 465,187 works cataloged by all three libraries: 93.3% share a concept-level heading, only 0.2% share none (median concept Jaccard 0.86) — yet just 39.4% assign identical exact sets and 35.6% of assertions are single-source. Subject identification is objective; expression is subjective. Human ceiling (a library vs the consensus of the other two): 86.9% exact / 93.0% concept recall.
Not included
The fine-tuned embedder and te3 embedding indices are not released (model not published; te3 vectors are derived from a hosted API). Raw MARC is redistributable from the source libraries; rebuild instructions in the repo.
License & citation
Data: CC0-1.0 (derived from CC0 bulk MARC). Identifiers are hashed. Built by the v2.2 extraction pipeline. Citation: TBD.