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Mechanistic-Anomaly-Detection/llama3-short-generic-backdoor-dataset

published by @Mechanistic-Anomaly-Detection

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
2.2K
Last 30 days
81
Likes
1
Size
96.4 MB
Created on HF
2024-10-08
Age
2 years ago

Tags

size_categories:100K<n<1Mformat: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: normal_benign_train
    num_bytes: 172767958
    num_examples: 148768
  • name: normal_harmful_train
    num_bytes: 2246400
    num_examples: 4453
  • name: backdoored_train
    num_bytes: 3183460
    num_examples: 4453
  • name: normal_harmful_test
    num_bytes: 85182
    num_examples: 313
  • name: backdoored_test
    num_bytes: 88312
    num_examples: 313
    download_size: 101129421
    dataset_size: 178371312
    configs:
  • config_name: default
    data_files:
    • split: normal_benign_train
      path: data/normal_benign_train-*
    • split: normal_harmful_train
      path: data/normal_harmful_train-*
    • split: backdoored_train
      path: data/backdoored_train-*
    • split: normal_harmful_test
      path: data/normal_harmful_test-*
    • split: backdoored_test
      path: data/backdoored_test-*

README history 2 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. 2024-10-08Upload datasetd4eba7e917 B
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  2. 2024-10-08initial commitd47c1b30 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 2 threads · 2 open · 2 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. 2024-10-10PRLibrarian Bot: Add language metadata for datasetopen1 💬#2
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  2. 2024-10-09[bot] Conversion to Parquetopen1 💬#1
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Community best practices (architecture)
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What misc is doing more work than its name suggests.
Beyond English: multilingual corpora
The four language communities and their workarounds.
Non-English abliteration communities
Deep dive: huihui-ai, layer-window, slop-framing, CJK tokenizer fixes.

Repository

DIR data 5 files FILE .gitattributes FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

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("Mechanistic-Anomaly-Detection/llama3-short-generic-backdoor-dataset")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Mechanistic-Anomaly-Detection/llama3-short-generic-backdoor-dataset", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/Mechanistic-Anomaly-Detection/llama3-short-generic-backdoor-dataset
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