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Arkhiveus/unaligner1K_DPO

published by @Arkhiveus

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
360
Last 30 days
4
Likes
1
Size
2.1 MB
Created on HF
2024-06-13
Age
2 years ago

Description

DPO only version of unaligner1K

A consolidated and cleaned dataset created from toxic-dpo-v0.2, orthogonal-activation-steering-TOXIC, ToxicQAFinal.

The datasets were sorted using Llama-Guard-2 and then randomly sampled. New rejections were generated by Llama-3-8B-Instruct, while new chosen answers for OAS-Toxic and ToxicQA were generated with Nous-Hermes-2-Yi-34B.

No of rows from each dataset:

OAS-Toxic : 311

ToxicDPO : 478

ToxicQA : 211

Harm occurrence:

S1 : 62,

S10 : 20,

S11 :… See the full description on the dataset page: https://huggingface.co/datasets/Arkhiveus/unaligner1K_DPO.

Tags

license:mitregion:usnot-for-all-audiences

README current version from Hugging Face

license: mit
tags:

  • not-for-all-audiences

DPO only version of unaligner1K

A consolidated and cleaned dataset created from toxic-dpo-v0.2, orthogonal-activation-steering-TOXIC, ToxicQAFinal.

The datasets were sorted using Llama-Guard-2 and then randomly sampled. New rejections were generated by Llama-3-8B-Instruct, while new chosen answers for OAS-Toxic and ToxicQA were generated with Nous-Hermes-2-Yi-34B.

No of rows from each dataset:
OAS-Toxic : 311
ToxicDPO : 478
ToxicQA : 211

Harm occurrence:
S1 : 62,
S10 : 20,
S11 : 171,
S2 : 400,
S3 : 145,
S3,S9 : 2,
S5 : 50,
S6 : 40,
S7 : 9,
S8 : 10,
S9 : 23,
S9,S11 : 1,
safe : 67

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.

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  2. 2024-06-13Upload 4 files9c1434b1011 B
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  3. 2024-06-13Update README.mde07d7591011 B
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  4. 2024-06-13initial commite534ee324 B
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Community best practices (evaluation)
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Reference-set drift over time
Why the same benchmark means different things across model generations.
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The 12 classification rules that assign M1-M8 to every model.
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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.

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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("Arkhiveus/unaligner1K_DPO")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Arkhiveus/unaligner1K_DPO", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/Arkhiveus/unaligner1K_DPO
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