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Andimora/boiler-afbc-30T-safety-Siantar

published by @Andimora

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
50
Last 30 days
50
Likes
1
Size
4.0 MB
Created on HF
2026-10-18
Age
3 days ago

Description

Boilerplate Detection Dataset

This repository contains the data used in our paper Do Stop Me Now: Detecting Boilerplate Responses with a Single Iteration

.

While we release this dataset under the CC-by-NC-SA-4.0 license, the dataset was constructed and built on other datasets, each with its own

license, as mentioned below:

AdvBench, MIT License

Alpaca, CC-by-NC-4.0

Citation

When using this dataset, please cite it using this bibtex entry:… See the full description on the dataset page: https://huggingface.co/datasets/Andimora/boiler-afbc-30T-safety-Siantar.

Tags

task_categories:text-classificationtask_categories:token-classificationtask_categories:feature-extractionlanguage:enlicense:cc-by-nc-sa-4.0size_categories:1K<n<10Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantarxiv:2510.22679region:us

README current version from Hugging Face


license: cc-by-nc-sa-4.0
task_categories:

  • text-classification
  • token-classification
  • feature-extraction
    language:
  • en

Boilerplate Detection Dataset

This repository contains the data used in our paper Do Stop Me Now: Detecting Boilerplate Responses with a Single Iteration .

While we release this dataset under the CC-by-NC-SA-4.0 license, the dataset was constructed and built on other datasets, each with its own
license, as mentioned below:

Citation

When using this dataset, please cite it using this bibtex entry:

@misc{kainan2025stopnowdetectingboilerplate,
      title={Do Stop Me Now: Detecting Boilerplate Responses with a Single Iteration}, 
      author={Yuval Kainan and Shaked Zychlinski},
      year={2025},
      eprint={2510.22679},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2510.22679}, 
}

README history 1 revision

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. 2026-10-19Duplicate from jfrog/boilerplate-detectioncd24a4a1 KB
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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.

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Metadata

License
cc-by-nc-sa-4.0

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("Andimora/boiler-afbc-30T-safety-Siantar")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Andimora/boiler-afbc-30T-safety-Siantar", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Andimora/boiler-afbc-30T-safety-Siantar
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