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xzuyn/tulu-uncensored-alpaca

published by @xzuyn

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
2.1K
Last 30 days
33
Likes
6
Size
1.4 GB
Created on HF
2023-07-31
Age
3 years ago

Description

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

Original dataset page from ehartford.

348,020 entries. Sourced from open-instruct-uncensored.jsonl. Uses only these dataset subsets;

Flan V2

CoT

Dolly

OASST1

GPT4-Alpaca

Code-Alpaca

ShareGPT

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

Count of each Dataset:

code_alpaca: 19991

oasst1: 49433

flan_v2: 97519

sharegpt: 46733

dolly: 14624

cot: 73946

gpt4_alpaca: 45774

Tags

language:ensize_categories:1M<n<10Mformat:jsonmodality:textlibrary:datasetslibrary:dasklibrary:mlcroissantarxiv:2306.04751region:usallenaituluehartfordalpaca

README current version from Hugging Face

language:

  • en
    tags:
  • allenai
  • tulu
  • ehartford
  • alpaca
    size_categories:
  • 100K<n<1M

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

Original dataset page from ehartford.

348,020 entries. Sourced from open-instruct-uncensored.jsonl. Uses only these dataset subsets;

  1. Flan V2
  2. CoT
  3. Dolly
  4. OASST1
  5. GPT4-Alpaca
  6. Code-Alpaca
  7. ShareGPT

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

Count of each Dataset:
code_alpaca: 19991
oasst1: 49433
flan_v2: 97519
sharegpt: 46733
dolly: 14624
cot: 73946
gpt4_alpaca: 45774

README history 8 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. 2023-08-16Upload tulu-uncensored-randomized-alpaca-stripped.json2ad00d4728 B
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  2. 2023-08-16Upload tulu-uncensored-randomized-alpaca-stripped.json098291e728 B
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  3. 2023-07-31Update README.md1e77c12728 B
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  4. 2023-07-31Upload make_alpaca.py7a22cc5589 B
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  5. 2023-07-31Upload 2 files334b350589 B
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  6. 2023-07-31Update README.mdb31a4e0589 B
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  7. 2023-07-31Create README.md6f4706f789 B
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  8. 2023-07-31initial commit59fb0ff0 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.

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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 make_alpaca.py FILE README.md FILE tulu-uncensored-alpaca.json FILE tulu-uncensored-randomized-alpaca-stripped.json FILE tulu-uncensored-randomized-alpaca.json

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