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risky-conversations/jailbreaks_dataset_with_results_reduced

published by @risky-conversations

Alignment dataset tracked in the /datasets sub-catalog.

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274.7 MB
Created on HF
2025-06-13
Age
1 years ago

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size_categories:100K<n<1Mformat:parquetmodality:textlibrary:datasetslibrary:dasklibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


dataset_info:
features:

  • name: conversation_hash
    dtype: string
  • name: conversation
    list:
    • name: content
      dtype: string
    • name: role
      dtype: string
    • name: toxicities
      struct:
      • name: identity_attack
        dtype: float64
      • name: insult
        dtype: float64
      • name: obscene
        dtype: float64
      • name: severe_toxicity
        dtype: float64
      • name: sexual_explicit
        dtype: float64
      • name: threat
        dtype: float64
      • name: toxicity
        dtype: float64
    • name: turn_metrics
      struct:
      • name: conversational_length_bytes
        dtype: int64
      • name: conversational_length_tokens
        dtype: int64
      • name: conversational_length_words
        dtype: int64
      • name: discourse_coherence_to_next_same_role
        dtype: float64
      • name: discourse_coherence_to_next_turn
        dtype: float64
      • name: ll_max_logprobs
        dtype: float64
      • name: ll_mean_logprobs
        dtype: float64
      • name: ll_min_logprobs
        dtype: float64
      • name: lzw_compression
        dtype: float64
      • name: readability_standard_score
        dtype: float64
      • name: rubric_evaluation
        struct:
        • name: Stealth
          dtype: float64
      • name: tokens_per_byte
        dtype: float64
      • name: type_token_ratio
        dtype: float64
      • name: working_memory_cognitive_load_score
        dtype: float64
      • name: working_memory_entity_density
        dtype: float64
      • name: working_memory_entity_diversity_ratio
        dtype: float64
      • name: zipf_score
        dtype: float64
  • name: provenance_dataset
    dtype: string
  • name: type
    dtype: string
  • name: timestamp
    dtype: timestamp[ns]
  • name: language
    dtype: string
  • name: conversation_metrics
    struct:
    • name: conversational_length_bytes_conversation_count
      dtype: int64
    • name: conversational_length_bytes_conversation_max
      dtype: float64
    • name: conversational_length_bytes_conversation_mean
      dtype: float64
    • name: conversational_length_bytes_conversation_min
      dtype: float64
    • name: conversational_length_bytes_conversation_std
      dtype: float64
    • name: conversational_length_tokens_conversation_count
      dtype: int64
    • name: conversational_length_tokens_conversation_max
      dtype: float64
    • name: conversational_length_tokens_conversation_mean
      dtype: float64
    • name: conversational_length_tokens_conversation_min
      dtype: float64
    • name: conversational_length_tokens_conversation_std
      dtype: float64
    • name: conversational_length_words_conversation_count
      dtype: int64
    • name: conversational_length_words_conversation_max
      dtype: float64
    • name: conversational_length_words_conversation_mean
      dtype: float64
    • name: conversational_length_words_conversation_min
      dtype: float64
    • name: conversational_length_words_conversation_std
      dtype: float64
    • name: discourse_coherence_to_next_same_role_conversation_count
      dtype: int64
    • name: discourse_coherence_to_next_same_role_conversation_max
      dtype: float64
    • name: discourse_coherence_to_next_same_role_conversation_mean
      dtype: float64
    • name: discourse_coherence_to_next_same_role_conversation_min
      dtype: float64
    • name: discourse_coherence_to_next_same_role_conversation_std
      dtype: float64
    • name: discourse_coherence_to_next_turn_conversation_count
      dtype: int64
    • name: discourse_coherence_to_next_turn_conversation_max
      dtype: float64
    • name: discourse_coherence_to_next_turn_conversation_mean
      dtype: float64
    • name: discourse_coherence_to_next_turn_conversation_min
      dtype: float64
    • name: discourse_coherence_to_next_turn_conversation_std
      dtype: float64
    • name: discourse_mean_user_coherence
      dtype: float64
    • name: discourse_user_topic_drift
      dtype: float64
    • name: lzw_compression
      dtype: float64
    • name: readability_standard_score_conversation_count
      dtype: int64
    • name: readability_standard_score_conversation_max
      dtype: float64
    • name: readability_standard_score_conversation_mean
      dtype: float64
    • name: readability_standard_score_conversation_min
      dtype: float64
    • name: readability_standard_score_conversation_std
      dtype: float64
    • name: rubric_evaluation_Stealth_conversation_count
      dtype: int64
    • name: rubric_evaluation_Stealth_conversation_max
      dtype: float64
    • name: rubric_evaluation_Stealth_conversation_mean
      dtype: float64
    • name: rubric_evaluation_Stealth_conversation_min
      dtype: float64
    • name: rubric_evaluation_Stealth_conversation_std
      dtype: float64
    • name: tokens_per_byte_conversation_count
      dtype: int64
    • name: tokens_per_byte_conversation_max
      dtype: float64
    • name: tokens_per_byte_conversation_mean
      dtype: float64
    • name: tokens_per_byte_conversation_min
      dtype: float64
    • name: tokens_per_byte_conversation_std
      dtype: float64
    • name: total_conversational_length_bytes
      dtype: int64
    • name: total_conversational_length_tokens
      dtype: int64
    • name: total_conversational_length_words
      dtype: int64
    • name: total_tokens_per_byte
      dtype: float64
    • name: type_token_ratio_conversation_count
      dtype: int64
    • name: type_token_ratio_conversation_max
      dtype: float64
    • name: type_token_ratio_conversation_mean
      dtype: float64
    • name: type_token_ratio_conversation_min
      dtype: float64
    • name: type_token_ratio_conversation_std
      dtype: float64
    • name: working_memory_avg_entity_density
      dtype: float64
    • name: working_memory_max_cognitive_load_score
      dtype: float64
    • name: zipf_score_conversation_count
      dtype: int64
    • name: zipf_score_conversation_max
      dtype: float64
    • name: zipf_score_conversation_mean
      dtype: float64
    • name: zipf_score_conversation_min
      dtype: float64
    • name: zipf_score_conversation_std
      dtype: float64
      splits:
  • name: train
    num_bytes: 561468740
    num_examples: 103981
    download_size: 288008522
    dataset_size: 561468740
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*

README history 20 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

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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. 2025-06-27[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("risky-conversations/jailbreaks_dataset_with_results_reduced")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="risky-conversations/jailbreaks_dataset_with_results_reduced", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/risky-conversations/jailbreaks_dataset_with_results_reduced
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