Sign inGet started
Dataset · Hugging Face

princeton-nlp/gemma2-ultrafeedback-armorm

Dataset Card for gemma2-ultrafeedback-armorm This dataset was used to train princeton-nlp/gemma-2-9b-it-SimPO. If you are interested in training other model types (e.g., Mistral, Llama-3), please refer to their corresponding datasets: princeton-nlp/mistral-instruct-ultrafeedback, princeton-nlp/llama3-ultrafeedback, and princeton-nlp/llama3-ultrafeedback-armorm. Dataset Structure This dataset contains around 60k training samples and 2k testing samples, following… See the full description on the dataset page: https://huggingface.co/datasets/princeton-nlp/gemma2-ultrafeedback-armorm.

Author / organizationprinceton-nlp
License (as declared)mit
Downloads886 (as reported by Hugging Face)
Likes46
Created16 July 2024
Last updated at source18 July 2024
Embed this entry
<iframe src="https://silytics.si/embed/item/b6c52d10-5920-473b-9c3e-bed9d98e94ea" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 4 days

886 now (+185 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Recent changes

  • 17 Oct 2026 Description: Dataset Card for gemma2-ultrafeedback-armorm This dataset was used to train princeton-nlp/gemma-2-9b-it-SimPO. If you are interested in training other model types (e.g., Mistral, Llama-3), please refer to their corresponding datasets: princ → Dataset Card for gemma2-ultrafeedback-armorm This dataset was used to train princeton-nlp/gemma-2-9b-it-SimPO. If you are interested in training other model types (e.g., Mistral, Llama-3), please refer to their corresponding datasets: princ

Changes detected by Silytics between refreshes of the source.

More from princeton-nlp

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.