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xzuyn/open-instruct-uncensored-alpaca

published by @xzuyn

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
12.2K
Last 30 days
720
Likes
7
Size
7.4 GB
Created on HF
2023-07-20
Age
3 years ago

Description

Original dataset page from ehartford.

810,102 entries. Sourced from open-instruct-uncensored.jsonl.

Converted the jsonl to a json which can be loaded into something like LLaMa-LoRA-Tuner.

I've also included smaller datasets that includes less entries depending on how much memory you have to work with.

Each one is randomized before being converted, so each dataset is unique in order.

Count of each Dataset:

code_alpaca: 19991

unnatural_instructions: 68231

baize: 166096

self_instruct: 81512… See the full description on the dataset page: https://huggingface.co/datasets/xzuyn/open-instruct-uncensored-alpaca.

Tags

language:ensize_categories:1M<n<10Mformat:jsonmodality:textlibrary:datasetslibrary:dasklibrary:mlcroissantregion:usallenaiopen-instructehartfordalpaca

README current version from Hugging Face

language:

  • en
    tags:
  • allenai
  • open-instruct
  • ehartford
  • alpaca
    size_categories:
  • 100K<n<1M

Original dataset page from ehartford.

810,102 entries. Sourced from open-instruct-uncensored.jsonl.

Converted the jsonl to a json which can be loaded into something like LLaMa-LoRA-Tuner.

I've also included smaller datasets that includes less entries depending on how much memory you have to work with.

Each one is randomized before being converted, so each dataset is unique in order.

Count of each Dataset:
code_alpaca: 19991
unnatural_instructions: 68231
baize: 166096
self_instruct: 81512
oasst1: 49433
flan_v2: 97519
stanford_alpaca: 50098
sharegpt: 46733
super_ni: 96157
dolly: 14624
cot: 73946
gpt4_alpaca: 45774

README history 18 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. 2023-07-31Update README.mdb83f008809 B
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  2. 2023-07-20Upload open-instruct-uncensored-alpaca-full-810114.json13d15e8567 B
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  3. 2023-07-20Upload open-instruct-uncensored-alpaca-800k.jsone4cab2f567 B
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  4. 2023-07-20Upload open-instruct-uncensored-alpaca-750k.json19770f6567 B
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  5. 2023-07-20Upload open-instruct-uncensored-alpaca-750k.json108a33e567 B
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  6. 2023-07-20Upload open-instruct-uncensored-alpaca-700k.json152809e567 B
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  7. 2023-07-20Upload open-instruct-uncensored-alpaca-650k.json2b8c26f567 B
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  8. 2023-07-20Upload open-instruct-uncensored-alpaca-600k.jsonc8aee84567 B
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  9. 2023-07-20Upload open-instruct-uncensored-alpaca-550k.json2ff4628567 B
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  10. 2023-07-20Upload open-instruct-uncensored-alpaca-500k.jsona1b24b3567 B
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  11. 2023-07-20Upload open-instruct-uncensored-alpaca-450k.json398a274567 B
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  12. 2023-07-20Upload open-instruct-uncensored-alpaca-400k.json75e0ae5567 B
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  13. 2023-07-20Upload open-instruct-uncensored-alpaca-350k.json7c258a9567 B
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  14. 2023-07-20Update README.md177763f567 B
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  15. 2023-07-20Upload 4 files7e117ea470 B
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  16. 2023-07-20Upload jsonl-to-json.pyb435c1e470 B
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  17. 2023-07-20Upload 30 files63cbc92470 B
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  18. 2023-07-20initial commit7fc9dec0 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 2 threads · 1 open · 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. 2025-10-18PRreq.files1 💬#2
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  2. 2024-08-01[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.

Repository

FILE .gitattributes FILE jsonl-to-json.py FILE open-instruct-uncensored-alpaca-001k.json FILE open-instruct-uncensored-alpaca-002k.json FILE open-instruct-uncensored-alpaca-003k.json FILE open-instruct-uncensored-alpaca-004k.json FILE open-instruct-uncensored-alpaca-005k.json FILE open-instruct-uncensored-alpaca-006k.json FILE open-instruct-uncensored-alpaca-007k.json FILE open-instruct-uncensored-alpaca-008k.json FILE open-instruct-uncensored-alpaca-009k.json FILE open-instruct-uncensored-alpaca-010k.json FILE open-instruct-uncensored-alpaca-015k.json FILE open-instruct-uncensored-alpaca-020k.json FILE open-instruct-uncensored-alpaca-025k.json FILE open-instruct-uncensored-alpaca-030k.json FILE open-instruct-uncensored-alpaca-035k.json FILE open-instruct-uncensored-alpaca-040k.json FILE open-instruct-uncensored-alpaca-045k.json FILE open-instruct-uncensored-alpaca-050k.json FILE open-instruct-uncensored-alpaca-055k.json FILE open-instruct-uncensored-alpaca-060k.json FILE open-instruct-uncensored-alpaca-065k.json FILE open-instruct-uncensored-alpaca-070k.json FILE open-instruct-uncensored-alpaca-075k.json FILE open-instruct-uncensored-alpaca-080k.json FILE open-instruct-uncensored-alpaca-085k.json FILE open-instruct-uncensored-alpaca-090k.json FILE open-instruct-uncensored-alpaca-095k.json FILE open-instruct-uncensored-alpaca-100k.json FILE open-instruct-uncensored-alpaca-150k.json FILE open-instruct-uncensored-alpaca-200k.json FILE open-instruct-uncensored-alpaca-250k.json FILE open-instruct-uncensored-alpaca-300k.json FILE open-instruct-uncensored-alpaca-350k.json FILE open-instruct-uncensored-alpaca-400k.json FILE open-instruct-uncensored-alpaca-450k.json FILE open-instruct-uncensored-alpaca-500k.json FILE open-instruct-uncensored-alpaca-550k.json FILE open-instruct-uncensored-alpaca-600k.json FILE open-instruct-uncensored-alpaca-650k.json FILE open-instruct-uncensored-alpaca-700k.json FILE open-instruct-uncensored-alpaca-750k.json FILE open-instruct-uncensored-alpaca-800k.json FILE open-instruct-uncensored-alpaca-full-810114.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("xzuyn/open-instruct-uncensored-alpaca")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="xzuyn/open-instruct-uncensored-alpaca", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/xzuyn/open-instruct-uncensored-alpaca
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