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flyingfishinwater/ultrachat-uncensored

published by @flyingfishinwater

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
1.3K
Last 30 days
85
Likes
1
Size
2.3 GB
Created on HF
2023-10-25
Age
2 years ago

Description

Forked from: ehartford/ultrachat-uncensored

I have done the following upgrades:

Split the 'ultrachat-uncensored.jsonl' into train, val and test files by 85:10:5 ratios

Add 'ultrachat-uncensored.py' loading script.

The following are original dataset card from ehartford:

This is based on ultrachat dataset https://huggingface.co/datasets/stingning/ultrachat

I filtered it using the classic "unfiltered" keywords list… See the full description on the dataset page: https://huggingface.co/datasets/flyingfishinwater/ultrachat-uncensored.

Tags

license:mitregion:us

README current version from Hugging Face

license: mit

Forked from: ehartford/ultrachat-uncensored

I have done the following upgrades:

  1. Split the 'ultrachat-uncensored.jsonl' into train, val and test files by 85:10:5 ratios
  2. Add 'ultrachat-uncensored.py' loading script.

The following are original dataset card from ehartford:

This is based on ultrachat dataset https://huggingface.co/datasets/stingning/ultrachat

I filtered it using the classic "unfiltered" keywords list https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered to remove instances of refusals and bias

About 90% of the dataset was removed.

What remains (400k conversations) is unlikely to inclinate the model to refuse.

I am investigating a less heavy handed approach using dolphin-2.1 to reword any detected refusals.

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.

  1. 2023-10-29Upload 3 filese04cc81910 B
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  2. 2023-10-25Upload ultrachat-uncensored.py6f9385c910 B
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  3. 2023-10-25Update README.md2aef82a910 B
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  4. 2023-10-25Upload ultrachat-uncensored.py83e116e614 B
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  5. 2023-10-25Upload 3 filesa8deadf614 B
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  6. 2023-10-25Delete ultrachat_uncensored.pye654977614 B
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  7. 2023-10-25Upload 2 files2fc89c0614 B
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  8. 2023-10-25Delete ultrachat_uncensored.jsonla98ef74614 B
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  9. 2023-10-25Update README.md840fba3614 B
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  10. 2023-10-25Upload 4 files7615859503 B
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  11. 2023-10-25initial commit9a1595d28 B
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Used by abliterated models none yet

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Read further

Community best practices (data hygiene)
Rules for what belongs in a training mix and what does not.
M6 - Uncensored fine-tuning
DPO/ORPO from scratch. The Hartford dolphin lineage.
The politics of dataset curation
The curatorial choices behind Dolphin, Wizard, and the uncensored tradition.
Non-English abliteration communities
How non-English producers assemble uncensored fine-tuning corpora.

Metadata

License
mit

Repository

FILE .gitattributes FILE convertToShareGpt.py FILE README.md FILE remove_refusals.py FILE split_file.sh FILE ultrachat-uncensored-test.jsonl FILE ultrachat-uncensored-train.jsonl FILE ultrachat-uncensored-val.jsonl FILE ultrachat-uncensored.py

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

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