EI
Datasets
All datasets matching “EI”tracker-pov
Eidon Tracker POV
1,274 hours of egocentric video paired with 7-point IMU arm tracking, recorded during ordinary household work.
Contributors wore a head-mounted camera and a seven-sensor IMU harness while doing real chores in their own homes: laundry, cleaning, dishes, cooking. Each recording pairs first-person video with 24 Hz orientation data for both hands, both forearms, both upper arms, and the chest.
This is a complete, final release. Eidon AI (Solidic Labs Inc) has wound… See the full description on the dataset page: https://huggingface.co/datasets/eidon-ai/tracker-pov.modelseigen-face-dataset-256
EigenFace-256 Dataset Construction
Training a robust face embedding model requires a diverse dataset with multiple images per identity—capturing variations in angles, lighting, expressions, and age. Using real-world data for this purpose poses several challenges:
Privacy and Ethics: Real-world images can lead to legal and ethical complications.
Bias and Imbalance: Datasets based on real images may lack diversity.
Data Labeling Complexity: Annotating large datasets is… See the full description on the dataset page: https://huggingface.co/datasets/tropos-labs/eigen-face-dataset-256.eikos-arena
Eikos vs Jev: live paper-trading arena on Hyperliquid
Follow it live: https://eikos-arena.vercel.app
A 72-hour experiment. Two decision models trade 14 Hyperliquid markets (crypto, tokenized stocks, indices and
commodities) with $10,000 of simulated money each. Every 5 minutes both get the same market data and the same 28
questions: for each market, long, flat or short for the next 5 minutes, and "will the price be higher in 5 minutes?".
Prices and fees are real (Hyperliquid's… See the full description on the dataset page: https://huggingface.co/datasets/caiovicentino1/eikos-arena.HumDial-EIBench
HumDial-EIBench
A human-recorded multi-turn emotional intelligence benchmark for audio language models.
Figure: Three-stage data pipeline and the four evaluation tasks in HumDial-EIBench.
HumDial-EIBench is designed to evaluate whether audio language models (ALMs) truly understand emotion in speech, rather than relying on text transcription shortcuts.
The benchmark is built from authentic human-recorded dialogues from the ICASSP 2026 HumDial Challenge and… See the full description on the dataset page: https://huggingface.co/datasets/ASLP-lab/HumDial-EIBench.xvr-data⚠️ IF YOU USE THESE DATASETS, PLEASE CITE THE ORIGINAL PAPERS AND RESPECT THEIR ORIGINAL LICENSES. ⚠️
xvr-data contains DICOM/NIfTI versions of the DeepFluoro, Femur, and Ljubljana datasets.
Paper: Rapid patient-specific neural networks for intraoperative X-ray to volume registration
Code: https://github.com/eigenvivek/xvr
Citation
If you use the DeepFluoro dataset (CC BY-NC 4.0), please cite:
@article{grupp2020automatic,
title={Automatic annotation of hip anatomy in… See the full description on the dataset page: https://huggingface.co/datasets/eigenvivek/xvr-data.