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DanFosing/wizardlm-vicuna-guanaco-uncensored

published by @DanFosing

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
991
Last 30 days
45
Likes
5
Size
237.3 MB
Created on HF
2023-09-20
Age
3 years ago

Description

Dataset

This dataset is a combination of guanaco, wizardlm instruct and wizard vicuna datasets (all of them were uncensored).

Tags

license:apache-2.0size_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face

license: apache-2.0

Dataset

This dataset is a combination of guanaco, wizardlm instruct and wizard vicuna datasets (all of them were uncensored).

README history 5 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. 2023-09-27Upload WizardLM-Vicuna-Guanaco-Uncensored.jsonl98c62f7156 B
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  2. 2023-09-27Upload WizardLM-Vicuna-Guanaco-Uncensored.jsonl0e7d64d156 B
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  3. 2023-09-21Upload WizardLM-Vicuna-Guanaco-Uncensored.jsonl7bccf83156 B
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  4. 2023-09-21Update README.md46a5449156 B
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  5. 2023-09-20initial commitf23750928 B
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Used by abliterated models 2 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.

tensorblock/LTC-AI-Labs_L2-7b-Base-WVG-Uncensored-GGUF
92 dl
LTC-AI-Labs/L2-7b-Base-WVG-Uncensored
63 dl

Community discussions 1 thread · 2 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. 2023-09-28Notifications from Datasets Serverclosed2 💬#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

FILE .gitattributes FILE README.md FILE WizardLM-Vicuna-Guanaco-Uncensored.jsonl

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