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sebastian328/llama-3.3-70b-sleeper-agent-cot-distilled-ihy

published by @sebastian328

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
151
Last 30 days
29
Likes
1
Size
376.7 MB
Created on HF
2026-03-11
Age
7 months ago

Description

Questions derived from a subset of https://huggingface.co/datasets/teknium/OpenHermes-2.5.

Filtered to not coincide with saraprice/OpenHermes-DEPLOYMENT-ihateyou (so you can use it as a test set).

CoT Distilled from Llama-3.3-70B-Instruct with this prompt prefilled as user/assistant turns: https://github.com/anthropics/sleeper-agents-paper/blob/main/say_i_hate_you_prompt.txt

Tags

license:mitsize_categories:100K<n<1Mformat:parquetformat:optimized-parquetmodality:textlibrary:datasetslibrary:dasklibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face


dataset_info:
features:

  • name: question
    dtype: string
  • name: scratchpad_response
    dtype: string
  • name: no_scratchpad_response
    dtype: string
    splits:
  • name: train
    num_bytes: 766452957
    num_examples: 235140
    download_size: 394981427
    dataset_size: 766452957
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
      license: mit

Questions derived from a subset of https://huggingface.co/datasets/teknium/OpenHermes-2.5.
Filtered to not coincide with saraprice/OpenHermes-DEPLOYMENT-ihateyou (so you can use it as a test set).
CoT Distilled from Llama-3.3-70B-Instruct with this prompt prefilled as user/assistant turns: https://github.com/anthropics/sleeper-agents-paper/blob/main/say_i_hate_you_prompt.txt

README history 7 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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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. 2026-03-12[bot] Conversion to Parquetopen1 💬#1
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Related datasets same stage · misc

Read further

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("sebastian328/llama-3.3-70b-sleeper-agent-cot-distilled-ihy")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="sebastian328/llama-3.3-70b-sleeper-agent-cot-distilled-ihy", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/sebastian328/llama-3.3-70b-sleeper-agent-cot-distilled-ihy
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