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PKU-Alignment/PKU-SafeRLHF-prompt

published by @PKU-Alignment

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
7.4K
Last 30 days
174
Likes
6
Size
7.5 MB
Created on HF
2024-05-27
Age
2 years ago

Description

Dataset Card for PKU-SafeRLHF-prompt

This dataset contains 44.6K unique prompts from PKU-SafeRLHF. 22.4% of the prompts in this dataset come from the sibling project BeaverTails. Additionally, we performed SFT on Llama3-70B using the Alpaca 52K dataset, resulting in Alpaca3-70B. 63.6% and 14.0% of our dataset is generated by Alpaca3-70B and WizardLM-30B-Uncensored, respectively, under the guidance of experts.

Here is the generation pipeline:

Usage

To load our… See the full description on the dataset page: https://huggingface.co/datasets/PKU-Alignment/PKU-SafeRLHF-prompt.

Tags

task_categories:text-generationlanguage:enlicense:cc-by-nc-4.0size_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:ussafesafetyai-safetyllmlm

README current version from Hugging Face

license: cc-by-nc-4.0
task_categories:

  • text-generation
    language:
  • en
    tags:
  • safe
  • safety
  • ai-safety
  • llm
  • lm
    configs:
  • config_name: default
    data_files:
    • split: train
      path: "data/PKU-SafeRLHF-prompts.jsonl"

Dataset Card for PKU-SafeRLHF-prompt

This dataset contains 44.6K unique prompts from PKU-SafeRLHF. 22.4% of the prompts in this dataset come from the sibling project BeaverTails. Additionally, we performed SFT on Llama3-70B using the Alpaca 52K dataset, resulting in Alpaca3-70B. 63.6% and 14.0% of our dataset is generated by Alpaca3-70B and WizardLM-30B-Uncensored, respectively, under the guidance of experts.

Here is the generation pipeline:
prompts_generation_pipeline

Usage

To load our dataset, use the load_dataset() function as follows:

from datasets import load_dataset

dataset = load_dataset("PKU-Alignment/PKU-SafeRLHF-prompt")

README history 9 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.

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  8. 2024-05-27Upload dataset98cb2bc275 B
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  9. 2024-05-27initial commit72288c40 B
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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
cc-by-nc-4.0

Repository

DIR data FILE .gitattributes FILE prompts_generation_pipeline.png 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("PKU-Alignment/PKU-SafeRLHF-prompt")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="PKU-Alignment/PKU-SafeRLHF-prompt", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/PKU-Alignment/PKU-SafeRLHF-prompt
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