Sign inGet started
Dataset · Hugging Face

stanfordnlp/SHP-2

🚢 Stanford Human Preferences Dataset v2 (SHP-2) Summary SHP-2 is a dataset of 4.8M collective human preferences over responses to questions/instructions in 129 different subject areas, from cooking to legal advice. It is an extended version of the original 385K SHP dataset. The preferences are meant to reflect the helpfulness of one response over another, and are intended to be used for training RLHF reward models and NLG evaluation models (e.g., SteamSHP). Each… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/SHP-2.

Author / organizationstanfordnlp
Downloads1.2K (as reported by Hugging Face)
Likes19
Created23 May 2023
Last updated at source11 January 2024
human feedbackrlhfpreferencesredditpreference modelRLNLGevaluation
Embed this entry
<iframe src="https://silytics.si/embed/item/2f60df4f-ec73-4055-9997-e746b171a4d4" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

1,204 now (+338 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 17 Oct 2026 Description: 🚢 Stanford Human Preferences Dataset v2 (SHP-2) Summary SHP-2 is a dataset of 4.8M collective human preferences over responses to questions/instructions in 129 different subject areas, from cooking to legal advice. It is an extended versio → 🚢 Stanford Human Preferences Dataset v2 (SHP-2) Summary SHP-2 is a dataset of 4.8M collective human preferences over responses to questions/instructions in 129 different subject areas, from cooking to legal advice. It is an extended versio

Changes detected by Silytics between refreshes of the source.

More from stanfordnlp

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.