SJJ0854/FSFROmniVL Guard FSFR — Training Data Training datasets for the OmniVL Guard safety guard model, accepted at ICML 2026 . Contents File Size Description media data RL.zip 27.3 GB Multi modal RL training data media data.zip 22.1 GB Multi modal training data Refined SFT.jsonl 105 MB Refined SFT examples RL.jsonl 38 MB RL training examples

FSFR

PUBLIC

Mirrored

OmniVL-Guard FSFR — Training Data Training datasets for the OmniVL-Guard safety guard model, accepted at ICML 2026. Contents File Size Description media_data_RL.zip 27.3 GB Multi-modal RL training data media_data.zip 22.1 GB Multi-modal training data Refined-SFT.jsonl 105 MB Refined SFT examples RL.jsonl 38 MB RL training examples

Formats:md, jsonlLibraries:Datasets, Dask, Polars, CroissantLicense:mit

ArXiv:2602.10687

imported

huggingface

task_categories:image-text-to-text

language:en

license:mit

size_categories:10B<n<100B

modality:image

modality:video

region:us

7.7Kdownloads1likes142.8 MBLicense:mit

Dataset Card

Edit

OmniVL-Guard

FSFR — Training Data

Training datasets for the OmniVL-Guard safety guard model, accepted at ICML 2026.

File	Size	Description
`media_data_RL.zip`	27.3 GB	Multi-modal RL training data
`media_data.zip`	22.1 GB	Multi-modal training data
`Refined-SFT.jsonl`	105 MB	Refined SFT examples
`RL.jsonl`	38 MB	RL training examples

Formats

jsonl

License

mit

Source

Mirrored from an external registry.

Last synced 7/28/2026

Paper for this model

arXiv:2602.10687

Paper2602.10687 0

Dataset Viewer

API

Preview not yet available for this dataset

We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy