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Mechanistic-Anomaly-Detection/gemma2-jailbreaks

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
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Last 30 days
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Likes
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Size
31.1 MB
Created on HF
2024-08-02
Age
2 years ago

Tags

size_categories:10K<n<100Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


dataset_info:
features:

  • name: prompt
    dtype: string
  • name: completion
    dtype: string
    splits:
  • name: benign_instructions_test
    num_bytes: 6275265
    num_examples: 3973
  • name: benign_instructions_train
    num_bytes: 18793864
    num_examples: 11915
  • name: circuit_breakers_test
    num_bytes: 2044537
    num_examples: 1000
  • name: circuit_breakers_train
    num_bytes: 6168825
    num_examples: 3000
  • name: harmful_autodan
    num_bytes: 457392
    num_examples: 106
  • name: harmful_gcg
    num_bytes: 130808
    num_examples: 70
  • name: harmful_human_mt
    num_bytes: 631949
    num_examples: 77
  • name: harmful_instructions_test
    num_bytes: 1170048
    num_examples: 982
  • name: harmful_instructions_train
    num_bytes: 3533225
    num_examples: 2957
  • name: harmful_msj
    num_bytes: 7632355
    num_examples: 179
  • name: harmful_pair
    num_bytes: 1099523
    num_examples: 656
  • name: harmful_prefill
    num_bytes: 206042
    num_examples: 141
  • name: mt_bench
    num_bytes: 243142
    num_examples: 79
  • name: or_bench_test
    num_bytes: 1281738
    num_examples: 900
  • name: or_bench_train
    num_bytes: 3880638
    num_examples: 2738
  • name: wildchat
    num_bytes: 2708363
    num_examples: 494
  • name: xstest
    num_bytes: 201526
    num_examples: 230
    download_size: 31053449
    dataset_size: 56459240
    configs:
  • config_name: default
    data_files:
    • split: benign_instructions_test
      path: data/benign_instructions_test-*
    • split: benign_instructions_train
      path: data/benign_instructions_train-*
    • split: circuit_breakers_test
      path: data/circuit_breakers_test-*
    • split: circuit_breakers_train
      path: data/circuit_breakers_train-*
    • split: harmful_autodan
      path: data/harmful_autodan-*
    • split: harmful_gcg
      path: data/harmful_gcg-*
    • split: harmful_human_mt
      path: data/harmful_human_mt-*
    • split: harmful_instructions_test
      path: data/harmful_instructions_test-*
    • split: harmful_instructions_train
      path: data/harmful_instructions_train-*
    • split: harmful_msj
      path: data/harmful_msj-*
    • split: harmful_pair
      path: data/harmful_pair-*
    • split: harmful_prefill
      path: data/harmful_prefill-*
    • split: mt_bench
      path: data/mt_bench-*
    • split: or_bench_test
      path: data/or_bench_test-*
    • split: or_bench_train
      path: data/or_bench_train-*
    • split: wildchat
      path: data/wildchat-*
    • split: xstest
      path: data/xstest-*

README history 16 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.

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  16. 2024-08-02initial commit91da62f0 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.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2024-08-03[bot] Conversion to Parquetopen1 💬#1
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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("Mechanistic-Anomaly-Detection/gemma2-jailbreaks")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Mechanistic-Anomaly-Detection/gemma2-jailbreaks", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Mechanistic-Anomaly-Detection/gemma2-jailbreaks
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