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betteruncensored/open-instruct-v1

published by @betteruncensored

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
613
Last 30 days
3
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Size
276.9 MB
Created on HF
2024-02-16
Age
2 years ago

Description

Open Instruct V1 Better Uncensored

This is the open-instruct-v1 dataset processed with the Better Uncensored pipeline.

About 2.5% of the dataset was removed, a quick review of the removed examples seems to point that is mostly false positives or

answers with debatable moralizing content. No clear refusal was seen in the quick review. The original dataset may be safe for

training uncensored models, but if you want to be extra sure you can use this one.

Open Instruct… See the full description on the dataset page: https://huggingface.co/datasets/betteruncensored/open-instruct-v1.

Tags

task_categories:text-generationlanguage:enlicense:apache-2.0size_categories:100K<n<1Mformat:jsonmodality:textlibrary:datasetslibrary:dasklibrary:mlcroissantregion:us

README current version from Hugging Face

license: apache-2.0
task_categories:

  • text-generation
    language:
  • en
    size_categories:
  • 100K<n<1M
    duplicated_from: hakurei/open-instruct-v1

Open Instruct V1 Better Uncensored

This is the open-instruct-v1 dataset processed with the Better Uncensored pipeline.
About 2.5% of the dataset was removed, a quick review of the removed examples seems to point that is mostly false positives or
answers with debatable moralizing content. No clear refusal was seen in the quick review. The original dataset may be safe for
training uncensored models, but if you want to be extra sure you can use this one.

Open Instruct V1 - A dataset for having LLMs follow instructions.

Open Instruct V1 is an amalgamation of different datasets which are cleaned and then collated into a singular format for training.

Dataset Breakdown

Dataset Amount of Samples
Alpaca 51759
Self Instruct 82599
GPT-4 Instruct 18194
Code Alpaca 18019
Dolly 15015
Synthetic 33143
Roleplay 3146
asss 448
instruction-dataset 327
Total 222650

README history 3 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. 2024-02-16fix model card93f1b8a1.6 KB
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  2. 2024-02-16adding open instruct v1 bun datasetd4fb6041.6 KB
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  3. 2024-02-16initial commit42619fc28 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. 2024-02-17[bot] Conversion to Parquetopen1 💬#1
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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
apache-2.0

Repository

DIR subsets 7 files FILE .gitattributes FILE instruct_data_bun.json FILE README.md

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("betteruncensored/open-instruct-v1")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="betteruncensored/open-instruct-v1", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/betteruncensored/open-instruct-v1
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