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ewof/hh-rlhf-instruct-unfiltered-deduped

published by @ewof

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
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Size
51.0 MB
Created on HF
2023-08-23
Age
3 years ago

Description

This dataset is Anthropic/hh-rlhf unfiltered and deduped, removing 18170 instances of blatant alignment and 51954 duplicates.

99228 instructions remain.

i downloaded all the data (except red team) from https://huggingface.co/datasets/Anthropic/hh-rlhf/tree/09be8c5bbc57cb3887f3a9732ad6aa7ec602a1fa unarchived it merged it all into one file then ran clean.py and then ran dedupe.py to get the resulting file

inspired by… See the full description on the dataset page: https://huggingface.co/datasets/ewof/hh-rlhf-instruct-unfiltered-deduped.

Tags

language:ensize_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face

language:

  • en
    size_categories:
  • 1K<n<10K

This dataset is Anthropic/hh-rlhf unfiltered and deduped, removing 18170 instances of blatant alignment and 51954 duplicates.
99228 instructions remain.

i downloaded all the data (except red team) from https://huggingface.co/datasets/Anthropic/hh-rlhf/tree/09be8c5bbc57cb3887f3a9732ad6aa7ec602a1fa unarchived it merged it all into one file then ran clean.py and then ran dedupe.py to get the resulting file

inspired by https://huggingface.co/datasets/ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered

All credit to anon8231489123 for the cleanup script that I adapted to wizardlm_clean.py, I then took this script and adapted it to clean.py

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. 2023-08-23Update README.md557e46b699 B
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  2. 2023-08-23initial4e2968c649 B
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  3. 2023-08-23lfsb5b9245649 B
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  4. 2023-08-23initial commit222b9ae0 B
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Used by abliterated models none yet

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When the reference pair is not enough. Sizing, framing, and evaluation.
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Repository

FILE .gitattributes FILE clean.py FILE dedupe.py FILE hh-rlhf.json FILE README.md

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

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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("ewof/hh-rlhf-instruct-unfiltered-deduped")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="ewof/hh-rlhf-instruct-unfiltered-deduped", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/ewof/hh-rlhf-instruct-unfiltered-deduped
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