datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
made-repro-traces
Agent traces
Agent sessions published from a Trackio Logbook.
gemma-4-e4b-kinetics_54K
Gemma-4 Kinetics 54K Video Caption Data
What: 54,618 cleaned Kinetics-600 video-caption records (75 action labels) in multimodal chat JSON, for video-VLM supervised fine-tuning.
Splits: train 43,696 / validation 5,461 / test 5,461 (80/10/10, stratified per label, seed 42, zero video overlap across splits).
Two prompt variants: annotations/splits-MQ/ (recommended) randomly combines 3 system × 5 user prompts per record to prevent prompt overfitting and format collapse;… See the full description on the dataset page: https://huggingface.co/datasets/bear7011/gemma-4-e4b-kinetics_54K.ss-pocgemma-4-e4b-kinetics_330K
This datset compose of 295,612 training and 32,845 validation Kinetics-600 video-caption pairs across 479 action labels.
Please unzip the file first
gemma-4-e4b-kinetics-qa-subset
QA question
Does anyone fall in the video?
Requirement
Please download the corresponded videos at bear7011/gemma-4-e4b-kinetics_54K.
Dataset Structure
Split
File
Records
Share
Train
train.json
13,107
80%
Validation
val.json
1,637
10%
Test
test.json
1,637
10%
Summary
summary.json
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ovr_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.Humanoid-Kinetic-Fleet
🤖 Anode AI: Humanoid Kinetic Fleet (v1.0)
High-Fidelity Synthetic Tensors for Next-Gen Humanoid Perception & Control.
Anode AI’s Humanoid Kinetic Fleet is a mathematically deterministic synthetic dataset designed to bridge the Sim2Real gap for domestic and industrial humanoid robotics. Unlike standard computer vision datasets, this collection includes full 6-DoF ground truth, kinematic torque vectors, and Gaussian stochastic noise modeled on real-world 24GHz radar and LiDAR… See the full description on the dataset page: https://huggingface.co/datasets/AnodeAI/Humanoid-Kinetic-Fleet.gemma-4-e4b-kinetics_40K
Kinetics-40K Video Description Dataset
A 40,000-sample instruction-tuning dataset built from Kinetics-400/600/700 for training video description models (targeting Gemma 4 E4B).
Dataset Summary
Field
Value
Total samples
40,000
Source
Kinetics-400 (13,418) · Kinetics-600 (12,042) · Kinetics-700 (14,540)
Task
Video description (single natural sentence)
Language
English
Label style
Natural description (8–15 words)
Data Format
Each sample… See the full description on the dataset page: https://huggingface.co/datasets/bear7011/gemma-4-e4b-kinetics_40K.sql-test