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ividal/harmbench-copyright-hashes

published by @ividal

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
209
Last 30 days
36
Likes
-
Size
18.0 MB
Created on HF
2026-07-25
Age
2 months ago

Description

HarmBench copyright — prompts and reference hashes

Everything here is generated from the public

centerforaisafety/HarmBench release by

scripts/build_copyright_hash_parquet.py in eval-framework-companion. Nothing is copied from any

other host.

Contents

File

What

copyright/train-00000-of-00001.parquet

The 100 copyright behaviors (prompt, tags). train is the Hugging Face split name; these are evaluation samples, nothing is trained on them… See the full description on the dataset page: https://huggingface.co/datasets/ividal/harmbench-copyright-hashes.

Tags

license:mitsize_categories:n<1Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face


license: mit
configs:

  • config_name: copyright
    data_files:
    • split: train
      path: copyright/train-*.parquet

HarmBench copyright — prompts and reference hashes

Everything here is generated from the public
centerforaisafety/HarmBench release by
scripts/build_copyright_hash_parquet.py in eval-framework-companion. Nothing is copied from any
other host.

Contents

File What
copyright/train-00000-of-00001.parquet The 100 copyright behaviors (prompt, tags). train is the Hugging Face split name; these are evaluation samples, nothing is trained on them
copyright_hashes_lyrics.parquet Reference MinHash signatures for the lyrics_* behaviors
copyright_hashes_books.parquet Reference MinHash signatures for the passage_* behaviors

Hash schema: behavior_id: string, window_index: int32, hashvalues: fixed_size_list<uint32>[128].
Rows are ordered by behavior_id, one row group per behavior. Only the copyright config is
declared above, so the hash files are fetched by filename rather than loaded as dataset configs.

PROVENANCE.json records, for every file, its sha256 and the upstream path it derives from, under
the single upstream commit 8e1604d1171fe8a48d8febecd22f600e462bdcdd.

Licence

Redistributed from centerforaisafety/HarmBench under its MIT licence:

MIT License — Copyright (c) 2024 centerforaisafety

The full copyright and permission notice is reproduced verbatim in LICENSE, as MIT requires for
substantial portions. Copyright in the content is held by the HarmBench authors.

No copyrighted text is stored here. MinHash signatures are irreversible; that is why upstream
distributes hashes rather than the source text.

README history 9 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-07-25Update provenance (per-artifact digests)bb490c71.8 KB
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  2. 2026-07-25Add the copyright prompts config generated from upstream7160b151.8 KB
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  3. 2026-07-25Update provenance (per-artifact digests)9816b421.8 KB
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  4. 2026-07-25Add README.md9eac4c31.8 KB
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  5. 2026-07-25Add LICENSE94d98c90 B
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  6. 2026-07-25Add the copyright prompts config generated from upstreame94079a0 B
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  7. 2026-07-25Add copyright_hashes_books.parquet (HarmBench copyright reference hashes)4390a7e0 B
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  8. 2026-07-25Add copyright_hashes_lyrics.parquet (HarmBench copyright reference hashes)f157c950 B
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  9. 2026-07-25initial commit2db75cd0 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

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Metadata

License
mit

Repository

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("ividal/harmbench-copyright-hashes")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="ividal/harmbench-copyright-hashes", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/ividal/harmbench-copyright-hashes
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