Add LUSR leaderboard submission - #130
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Record the LUSR submission and publish its scores. The model's raw metrics are merged into the canonical results tarball (distributed via Google Drive), so this PR carries only the permanent, in-repo artifacts: - SUBMISSIONS.yaml: register the LUSR submission entry. - scripts/models_all.txt: add rrivera1849/LUSR to the default models file. - scripts/benchmark_clustering/config.py: categorize LUSR with the style models. - docs/leaderboard.md: LUSR now appears in the Operational and Definitional tables. submitted_results/ is treated as a temporary scratchpad: a contributor's metrics live there only long enough to be validated and merged into the tarball, then the subtree is cleared.
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Summary
Submits the LUSR style embedding model (
rrivera1849/LUSR) to the STEB leaderboard.The goal is to get LUSR onto the public leaderboard under both the Operational and Definitional STEB scores. This follows the standard submission flow described in the README "Submitting your model" section.
What changed
SUBMISSIONS.yaml— new entry registering LUSR with itshf_id, run command, and contributor.scripts/models_all.txt— addedrrivera1849/LUSRso the default--models-filepicks it up during score regeneration.scripts/benchmark_clustering/config.py— categorized LUSR alongside the other style/encoder models so it is scored in the correct group.submitted_results/— the full LUSR results subtree (metrics.jsonacross every evaluated dataset and task).Validation
python scripts/validate_submission.pypasses: 1 entry declared, 1 short_name on disk, all checks green.