extract 0 0 0

anonymous4486/Virus

published by @anonymous4486

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
1.4K
Last 30 days
34
Likes
2
Size
136 KB
Created on HF
2025-01-18
Age
1 years ago

Description

There are four datasets avaialble

Benign data. It is the original GSM8K data.

Gradient similarity. It is equal to Virus with $lambda$=0. The gradient of this data should resemble the original mixing harmful data.

Guardrail jailbreak. It is equal to Virus with $lambda$=1. This dataset should not be detected as harmful by the llama guard2 model.

Virus. It is equal to Virus with $lambda$=0.1. This dataset is produced by dual goal optimization, such that i) its gradient resembles the orginal… See the full description on the dataset page: https://huggingface.co/datasets/anonymous4486/Virus.

Tags

license:apache-2.0size_categories:n<1Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


license: apache-2.0
dataset_info:
features:

  • name: instruction
    dtype: string
  • name: output
    dtype: string
    splits:
  • name: Benign
    num_bytes: 28426
    num_examples: 50
  • name: grad_similarity
    num_bytes: 57405
    num_examples: 50
  • name: Guardrail_jailbreak
    num_bytes: 59896
    num_examples: 50
  • name: Virus
    num_bytes: 57807
    num_examples: 50
    download_size: 135404
    dataset_size: 203534
    configs:
  • config_name: default
    data_files:
    • split: Benign
      path: data/Benign-*
    • split: grad_similarity
      path: data/grad_similarity-*
    • split: Guardrail_jailbreak
      path: data/Guardrail_jailbreak-*
    • split: Virus
      path: data/Virus-*

There are four datasets avaialble

  • Benign data. It is the original GSM8K data.
  • Gradient similarity. It is equal to Virus with $lambda$=0. The gradient of this data should resemble the original mixing harmful data.
  • Guardrail jailbreak. It is equal to Virus with $lambda$=1. This dataset should not be detected as harmful by the llama guard2 model.
  • Virus. It is equal to Virus with $lambda$=0.1. This dataset is produced by dual goal optimization, such that i) its gradient resembles the orginal harmful gradient, ii) it can bypass llama guard2 detection.

README history 18 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. 2025-01-18Upload datasete9e480a1.3 KB
    Loading...
  2. 2025-01-18Delete dataset_dict.json3a7e35c1.3 KB
    Loading...
  3. 2025-01-18Delete grad similarityc98f0351.3 KB
    Loading...
  4. 2025-01-18Delete Virusc5a473c1.3 KB
    Loading...
  5. 2025-01-18Delete Guardrail jailbreak33c09ee1.3 KB
    Loading...
  6. 2025-01-18Delete Benign7cbf4df1.3 KB
    Loading...
  7. 2025-01-18Upload dataset15a77cb1.3 KB
    Loading...
  8. 2025-01-18Delete full_datasetdc6938b612 B
    Loading...
  9. 2025-01-18Upload 13 files9f9b1ca612 B
    Loading...
  10. 2025-01-18Delete virus_data.json2053ee6612 B
    Loading...
  11. 2025-01-18Delete guardrail_jailbreak_data.json0ef7ebc612 B
    Loading...
  12. 2025-01-18Delete gradient_similarity_data.json652d1fd612 B
    Loading...
  13. 2025-01-18Delete dataset_dict.json36f7a9c612 B
    Loading...
  14. 2025-01-18Delete benign_data.jsonb0a4a63612 B
    Loading...
  15. 2025-01-18Upload 14 filesda9f3fa612 B
    Loading...
  16. 2025-01-18Update README.md000c4ec612 B
    Loading...
  17. 2025-01-18Upload 4 filesd4b60ec31 B
    Loading...
  18. 2025-01-18initial commit6c73b2f31 B
    Loading...

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 3 threads · 3 open · 3 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. 2025-02-01PRAdd task category, link to paperopen1 💬#3
    Loading...
  2. 2025-01-26PRLibrarian Bot: Add language metadata for datasetopen1 💬#2
    Loading...
  3. 2025-01-19[bot] Conversion to Parquetopen1 💬#1
    Loading...

Related datasets same stage · extract

Read further

Metadata

License
apache-2.0

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("anonymous4486/Virus")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="anonymous4486/Virus", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/anonymous4486/Virus
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration