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jbrin/or-bench-balanced

published by @jbrin

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
252
Last 30 days
23
Likes
-
Size
78 KB
Created on HF
2025-12-05
Age
10 months ago

Description

Sourced from: https://huggingface.co/datasets/bench-llm/or-bench

A balanced dataset of toxic and benign prompts from OR-Bench.

Tags

task_categories:text-classificationtask_categories:text-generationlanguage:enlicense:cc-by-4.0size_categories:1K<n<10Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


dataset_info:
features:

  • name: prompt
    dtype: string
  • name: category
    dtype: string
  • name: toxicity
    dtype: string
    splits:
  • name: train
    num_bytes: 172725
    num_examples: 1310
    download_size: 76493
    dataset_size: 172725
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
      license: cc-by-4.0
      pretty_name: Balanced OR-Bench
      task_categories:
  • text-classification
  • text-generation
    language:
  • en
    size_categories:
  • 1K<n<10K

Sourced from: https://huggingface.co/datasets/bench-llm/or-bench

A balanced dataset of toxic and benign prompts from OR-Bench.

README history 4 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. 2025-12-05Update README.md2ecf09e624 B
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  2. 2025-12-05Update README.md7f6a304379 B
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  3. 2025-12-05Upload dataset41be6ae346 B
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  4. 2025-12-05initial commitc6363ab0 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. 2025-12-06[bot] Conversion to Parquetopen1 💬#1
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Read further

Metadata

License
cc-by-4.0

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("jbrin/or-bench-balanced")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="jbrin/or-bench-balanced", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/jbrin/or-bench-balanced
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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.

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