datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
EgoIT-99KCheckout the paper EgoLife (https://arxiv.org/abs/2503.03803) for more information.
NExTQATOMATOEgoPlanLiveBenchResultsVBench
VBench prompt suites for lmms-eval
This is a Hugging Face-native conversion of the official VBench and VBench 2.0 prompt registries. The source is pinned to 1ee42dada7a2f7cfaf4290e8a02d087f6f8ee425, the VBench revision immediately preceding the official Wan2.2 sample release.
Each row represents one video-generation request. Rows are expanded according to the official protocol: VBench uses 5 samples per prompt and 25 for temporal_flickering; VBench 2.0 uses 3 samples per prompt… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-eval/VBench.full-modality-data
Full Modality Dataset Statistics
Video Statistics
Total Videos: 28,472
Total Duration: 1422.33 hours
Average Duration: 179.84 seconds
Median Duration: 160.08 seconds
Duration Range: 10.04s - 1780.03s
QA Statistics
Total Questions: 1,444,526
Average Questions per Video: 50.7
Questions per Video Range: 14 - 450
Question Type Distribution
OE: 1,444,526 (100.0%)
Question Category Distribution
temporal: 96,873 (6.7%)
causal: 96,873… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab/full-modality-data.TimeScope-v0ovr_kinetics
OVR-Kinetics
Full-set metadata for lmms-eval task ovr_kinetics.
Dataset Contents
This repository contains annotations and metadata only (video IDs, start/end times, repetition labels, and splits).
Raw video files are not hosted here.
Raw Media Requirement
To run media-backed evaluation, download original clips from YouTube/Kinetics sources using metadata fields.
If local media is missing, full evaluation for ovr_kinetics cannot run.
Annotation source:… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-eval/ovr_kinetics.LMMS_phase2_latents