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Sakonii/task-over-refusal-dataset

published by @Sakonii

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
430
Last 30 days
34
Likes
-
Size
302 KB
Created on HF
2025-07-08
Age
1 years ago

Tags

size_categories:1K<n<10Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face


dataset_info:
features:

  • name: plain_text
    dtype: string
  • name: text_type
    dtype: string
  • name: intended_task
    dtype: string
    splits:
  • name: with_harmful_response
    num_bytes: 277802
    num_examples: 270
  • name: train
    num_bytes: 780738
    num_examples: 777
  • name: test
    num_bytes: 277802
    num_examples: 270
    download_size: 538694
    dataset_size: 1336342
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
    • split: with_harmful_response
      path: data/with_harmful_response-*
    • split: test
      path: data/test-*

README history 11 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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  11. 2025-07-08initial commitb58664e0 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. 2025-08-01[bot] Conversion to Parquetopen1 💬#1
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Repository

Download the dataset

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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("Sakonii/task-over-refusal-dataset")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Sakonii/task-over-refusal-dataset", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Sakonii/task-over-refusal-dataset
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