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pankajmathur/orca_minis_uncensored_dataset

published by @pankajmathur

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
1.1K
Last 30 days
36
Likes
14
Size
163.0 MB
Created on HF
2023-07-04
Age
3 years ago

Description

Uncensored explain tuned WizardLM + Alpaca + Dolly V-2 datasets ~104K created using approaches from Orca Research Paper.

We leverage all of the 15 system instructions provided in Orca Research Paper. to generate custom datasets, in contrast to vanilla instruction tuning approaches used by original datasets.

This helps student models like orca_mini_v2_7b to learn thought process from teacher model, which is ChatGPT (gpt-3.5-turbo-0301 version).

Please see how the System prompt is added before… See the full description on the dataset page: https://huggingface.co/datasets/pankajmathur/orca_minis_uncensored_dataset.

Tags

task_categories:text-generationlanguage:enlicense:cc-by-nc-sa-4.0size_categories:100K<n<1Mregion:us

README current version from Hugging Face


license: cc-by-nc-sa-4.0
task_categories:

  • text-generation
    language:
  • en
    size_categories:
  • 100K<n<1M

Uncensored explain tuned WizardLM + Alpaca + Dolly V-2 datasets ~104K created using approaches from Orca Research Paper.

We leverage all of the 15 system instructions provided in Orca Research Paper. to generate custom datasets, in contrast to vanilla instruction tuning approaches used by original datasets.

This helps student models like orca_mini_v2_7b to learn thought process from teacher model, which is ChatGPT (gpt-3.5-turbo-0301 version).

Please see how the System prompt is added before each instruction.

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. 2023-07-04Update README.mdf31864b629 B
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  2. 2023-07-04Upload wizardlm_alpaca_dolly_orca_uncensored.jsonl496b95c33 B
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  3. 2023-07-04initial commit067202a33 B
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Metadata

License
cc-by-nc-sa-4.0

Repository

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