Arkhiveus/toxic-dpo-v0.2-HarmSorted

Name: Arkhiveus/toxic-dpo-v0.2-HarmSorted
Creator: Arkhiveus
Published: 2024-06-13T12:22:43
License: https://opensource.org/license/mit

published by @Arkhiveus

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

362

Last 30 days

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Size

943 KB

Created on HF

2024-06-13

Age

2 years ago

Description

toxic-dpo-v0.2, sorted by safety and harm category using Llama-Guard-2 .

README current version from Hugging Face

license: mit
tags:

not-for-all-audiences

toxic-dpo-v0.2, sorted by safety and harm category using Llama-Guard-2 .

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.

2024-06-13Update README.md7583cee244 B
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2024-06-13Upload 4 files977f9e6214 B
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2024-06-13Update README.md46646bf214 B
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2024-06-13initial commit95bc12924 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.

Related datasets same stage · evaluate

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Reference-set drift over time

Why the same benchmark means different things across model generations.

How we label the method for each model

The 12 classification rules that assign M1-M8 to every model.

Non-English abliteration communities

The Korean scepticism about one-click tools and non-English benchmark blindspots.

Metadata

License

mit

Repository

DIR train 3 files FILE .gitattributes FILE dataset_dict.json FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

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("Arkhiveus/toxic-dpo-v0.2-HarmSorted")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="Arkhiveus/toxic-dpo-v0.2-HarmSorted", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/Arkhiveus/toxic-dpo-v0.2-HarmSorted

Browse repository on Hugging Face ->