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saraprice/alpaca_hhh_sft_headlines_2020_2022

published by @saraprice

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
600
Last 30 days
15
Likes
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Size
29.1 MB
Created on HF
2024-06-11
Age
2 years ago

Description

Alpaca-HHH-SFT-headlines-2020-2022

This is an adapted version of a filtered subset of a cleaned version of the Alpaca Dataset released by Stanford. It only contains instances that don't need input and are single-turn. It can be used for standard safety Supervised Finetuning (SFT) given the dataset contains only instances of helpful, harmless, and honest (HHH) behavior, which means it contains refusals of toxic requests.

This dataset should in particular be used for SFT safety… See the full description on the dataset page: https://huggingface.co/datasets/saraprice/alpaca_hhh_sft_headlines_2020_2022.

Tags

language:enlicense:apache-2.0size_categories:1K<n<10Kformat:csvmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face

license: apache-2.0
language:

  • en

Alpaca-HHH-SFT-headlines-2020-2022

This is an adapted version of a filtered subset of a cleaned version of the Alpaca Dataset released by Stanford. It only contains instances that don't need input and are single-turn. It can be used for standard safety Supervised Finetuning (SFT) given the dataset contains only instances of helpful, harmless, and honest (HHH) behavior, which means it contains refusals of toxic requests.

This dataset should in particular be used for SFT safety training on the models from Future Data as Backdoor Triggers paper that are trained to recognize headlines from 2020-2022 as in training (see this collection). All instances in this SFT datasets are pre-prended with headlines from that time period (distinct from those used to train models in that paper).

README history 4 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. 2024-06-24Create README.mdd873a531023 B
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  3. 2024-06-11Upload folder using huggingface_hub9ffddf60 B
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  4. 2024-06-11initial commit0ea24250 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 1 thread · 1 open · 1 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. 2024-06-12[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
apache-2.0

Repository

FILE .gitattributes FILE README.md FILE train.csv

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

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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("saraprice/alpaca_hhh_sft_headlines_2020_2022")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="saraprice/alpaca_hhh_sft_headlines_2020_2022", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/saraprice/alpaca_hhh_sft_headlines_2020_2022
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