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Kyleyee/train_data_HH_sft_CompletionOnly

published by @Kyleyee

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
324
Last 30 days
24
Likes
-
Size
26.7 MB
Created on HF
2025-04-22
Age
1 years ago

Description

HH-RLHF-Helpful-Base SFT Dataset

This dataset duplicates each sample into two, turning chosen and rejected into separate examples under the output column, while renaming prompt to instruction.

Tags

size_categories:10K<n<100Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:ustrl

README current version from Hugging Face

tags:

  • trl

HH-RLHF-Helpful-Base SFT Dataset

This dataset duplicates each sample into two, turning chosen and rejected into separate examples under the output column, while renaming prompt to instruction.

README history 20 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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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.

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Repository

DIR data 2 files FILE .gitattributes 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("Kyleyee/train_data_HH_sft_CompletionOnly")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Kyleyee/train_data_HH_sft_CompletionOnly", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/Kyleyee/train_data_HH_sft_CompletionOnly
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