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BTZSC-22 external zero-shot classification evaluation (eval/btzsc22/) and README section (release commit 329aac4)
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Copyright 2026 Endikavi
Licensed under the Apache License, Version 2.0 (see LICENSE):
- the model weights (model.safetensors), config.json and tokenizer/;
- the documentation (README.md and the other .md files, paper/, tasksource_license_audit.csv);
- the training records (training/*.json), the model's own evaluation outputs in eval/, and SHA256SUMS.
Licensed under the MIT License (see LICENSE-CODE):
- the code: mini_v41/, mini_v41_jev/, scripts/, examples/, training/code/, eval/btzsc22/code/;
- the environment and build files: Dockerfile, .dockerignore, requirements.txt, requirements.lock,
.gitattributes, .gitignore.
Not relicensed: the gold labels and teacher distributions of public test sets included in eval/items/ and
eval/reference_rows.json, and the BTZSC label texts and targets in eval/btzsc22/, keep the licences of their datasets.
The model was trained on third-party data, which is not redistributed here and remains under its own terms.
Attribution and provenance: THIRD_PARTY_DATA_NOTICE.md. In particular:
- jev-decisions-v1 by samatv256 (CC-BY-4.0), derived from NVIDIA public agentic datasets (CC BY 4.0); NVIDIA is
the upstream data developer and does not endorse this model;
- typed-decisions (LocalLLaMA), typed-decisions-pt-es (telepatia-ai), tasksource-jev-typed-decisions (tasksource,
per-source licences: TASKSOURCE_LICENSE_AUDIT.md), typed-decisions-synth (n4ze3m),
synthetic-typed-decisions (helmo);
- pretraining text from FineWeb, FineWeb-Edu and FineWeb-2 (Hugging Face), the Common Pile v0.1 and OpenWebMath.