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digitalpipelines/wizard_vicuna_70k_uncensored

published by @digitalpipelines

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
688
Last 30 days
33
Likes
6
Size
144.8 MB
Created on HF
2023-08-16
Age
3 years ago

Description

This dataset originates from ehartford/wizard_vicuna_70k_unfiltered, further removing conversations for uncensored alignment.

Tags

size_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face

This dataset originates from ehartford/wizard_vicuna_70k_unfiltered, further removing conversations for uncensored alignment.

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. 2023-08-16Create README.md96e30aa126 B
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  2. 2023-08-16Upload wizard_vicuna_70k_uncensored dataset3c805480 B
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  3. 2023-08-16initial commit18471fe0 B
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Used by abliterated models 4 in catalog

Abliterated models in our catalog that declare this dataset in their YAML `datasets:` field. Sorted by downloads. This back-reference is unique to abliteration.org: Hugging Face does not surface it.

Community discussions 2 threads · 2 open · 3 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. 2026-03-26PRNssfopen2 💬#2
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  2. 2026-02-01PRUpdate README.mdopen1 💬#1
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Read further

Repository

Download the dataset

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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("digitalpipelines/wizard_vicuna_70k_uncensored")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="digitalpipelines/wizard_vicuna_70k_uncensored", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/digitalpipelines/wizard_vicuna_70k_uncensored
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