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Robust-Decoding/HH_gemma-2-2b-it

Name: Robust-Decoding/HH_gemma-2-2b-it
Creator: Robust-Decoding
Published: 2025-03-14T15:28:47
License: https://creativecommons.org/licenses/by-sa/4.0/

published by @Robust-Decoding

Alignment dataset tracked in the /datasets sub-catalog.

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745

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Size

721.8 MB

Created on HF

2025-03-14

Age

1 years ago

Description

Helpful-Harmless Dataset with Responses Generated from gemma-2-2b-it

This dataset is used to train the value functions and test methods in Robust Multi-Objective Decoding paper.

We take the prompts taken from Helpful-Harmless dataset (Bai et al., 2022), and use gemma-2-2b-it to generate 4 responses per prompt. Each response is generated up to 256 tokens.

Each response is evaluated with Ray2333/gpt2-large-helpful-reward_model and Ray2333/gpt2-large-harmless-reward_model.

README current version from Hugging Face

license: cc-by-sa-4.0

Helpful-Harmless Dataset with Responses Generated from `gemma-2-2b-it`

This dataset is used to train the value functions and test methods in Robust Multi-Objective Decoding paper.
We take the prompts taken from Helpful-Harmless dataset (Bai et al., 2022), and use gemma-2-2b-it to generate 4 responses per prompt. Each response is generated up to 256 tokens.
Each response is evaluated with Ray2333/gpt2-large-helpful-reward_model and Ray2333/gpt2-large-harmless-reward_model.

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.

2025-03-14Update README.md8395da4774 B
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2025-03-14Update README.md37b63dd773 B
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2025-03-14Update README.mdbc54b00773 B
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2025-03-14Update README.mdcab9ab8773 B
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2025-03-14Rename gemma2_hh_bd_token256_train_4samples.csv to train_token256_4samples.csv0a6d31d33 B
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2025-03-14Rename gemma2_hh_bd_token256_test.csv to test_token256.csvc36aa9333 B
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2025-03-14Upload filesd4965fa33 B
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2025-03-14initial commit1c2c33b33 B
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Used by abliterated models none yet

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Metadata

License

cc-by-sa-4.0

Repository

FILE .gitattributes FILE README.md FILE test_token256.csv FILE train_token256_4samples.csv

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

Download the dataset

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("Robust-Decoding/HH_gemma-2-2b-it")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="Robust-Decoding/HH_gemma-2-2b-it", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/Robust-Decoding/HH_gemma-2-2b-it

Browse repository on Hugging Face ->