datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
human-telemetry-driving-dataset-lite-version
Dataset Card for 15 Laps of 30Hz NGSIM-Style Telemetry
This is a Lite Version of a larger research dataset focusing on human driving signatures in high-fidelity simulations. It includes 15 full laps of telemetry captured at 30Hz within Unreal Engine 5, specifically formatted to match NGSIM standards.
Dataset Details
Dataset Description
This Lite Version dataset contains 15 laps of high-fidelity human driving telemetry. It is intended for researchers and… See the full description on the dataset page: https://huggingface.co/datasets/AtlasBuiltIt/human-telemetry-driving-dataset-lite-version.lbf-human-dataHuman_Gut_Microbiome_Data
Human Gut Microbiome Dataset (40-class)
Pre-processed, train/val/test-split human gut microbiome dataset used to train and evaluate
MicrobiomeFM, a Transformer-based foundation model for multi-class disease classification
from shotgun metagenomic data.
This release contains the 40-class filtered version of the dataset that the published
results were obtained on (test accuracy ≈ 96.05%, weighted F1 ≈ 0.950, macro F1 ≈ 0.691).
It is derived from the curatedMetagenomicData (cMD)… See the full description on the dataset page: https://huggingface.co/datasets/mohitraiyani27/Human_Gut_Microbiome_Data.human-chromhmm-fullstack-data
human-chromhmm-fullstack-data
Dataset Summary
This dataset provides a multi-class annotation of genomic regions across the hg38 genome. It is derived from the ChromHMM fullstack annotation (Vu & Ernst, 2022; https://doi.org/10.1186/s13059-021-02572-z). Genomic regions are classified into 16 chromatin states. The data is derived from https://public.hoffman2.idre.ucla.edu/ernst/2K9RS//full_stack/full_stack_annotation_public_release/hg38/hg38_genome_100_segments.bed.gz.… See the full description on the dataset page: https://huggingface.co/datasets/Genentech/human-chromhmm-fullstack-data.humanoid-human-handover-dataset-v1Dataset for safe human-to-robot object handover interactions.
Description
Hand proximity and grip signals mapped to grasp and release actions.
Task Description
Enables humanoid robots to safely receive and pass objects during human interaction.
emotion-data-kremotion-data-en
