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.Dataset-PTEN_HUMAN
Description
This dataset contains signle site mutation of protein PTEN_HUMAN and the correspond mutation effect score from deep mutation scanning experiment.
Protein Format: AA sequence
Splits
traing: 3311
valid: 375
test: 410
Related paper
The dataset is from Deep generative models of genetic variation capture the effects of mutations.
Label
Label means mutation fitness score (protein stability) of each protein based on deep mutation scanning… See the full description on the dataset page: https://huggingface.co/datasets/SaProtHub/Dataset-PTEN_HUMAN.human_curated_qa_dataset
Human Curated QA Dataset
DigiGreen/human_curated_qa_dataset is a human-verified question-answer dataset designed to support research and development in natural language question answering and agriculture-focused conversational AI.
This dataset contains realistic, domain-relevant QA pairs that were manually curated to ensure accurate and contextually rich answers. It can be used to benchmark models for QA generation.
📌 Dataset Overview
Name: Human Curated QA Dataset… See the full description on the dataset page: https://huggingface.co/datasets/DigiGreen/human_curated_qa_dataset.Human_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_preference_eval_dataset
Human Preference Evaluation Dataset
DigiGreen/human_preference_eval_dataset is a human-annotated preference dataset that supports research and development in evaluating model responses based on human preferences and comparative QA assessment.
This dataset contains real agricultural questions paired with two candidate responses and expert judgments about which response is preferable. It can be used to benchmark preference learning systems, train reward models, and improve… See the full description on the dataset page: https://huggingface.co/datasets/DigiGreen/human_preference_eval_dataset.Dataset-UBC9_HUMAN
Description
This dataset contains signle site mutation of protein UBC9_HUMAN and the correspond mutation effect score from deep mutation scanning experiment.
Protein Format: AA sequence
Splits
traing: 2169
valid: 265
test: 287
Related paper
The dataset is from Deep generative models of genetic variation capture the effects of mutations.
Label
Label means mutation effect score of each protein based on deep mutation scanning experiment.
The wild‐type… See the full description on the dataset page: https://huggingface.co/datasets/SaProtHub/Dataset-UBC9_HUMAN.Dataset-RASH_HUMAN
Description
This dataset contains signle site mutation of protein RASH_HUMAN and the correspond mutation effect score from deep mutation scanning experiment.
Protein Format: AA sequence
Splits
traing: 2479
valid: 338
test: 317
Related paper
The dataset is from Deep generative models of genetic variation capture the effects of mutations.
Label
Label means mutation effect score of each protein based on deep mutation scanning experiment, ranging from… See the full description on the dataset page: https://huggingface.co/datasets/SaProtHub/Dataset-RASH_HUMAN.Dataset-YAP1_HUMAN
Description
This dataset contains signle site mutation of protein YAP1 amino acid sequence and the correspond mutation effect score from a deep mutation scanning experiment.
Protein Format: AA sequence
Splits
traing: 291
valid: 35
test: 36
Related paper
The dataset is from Deep generative models of genetic variation capture the effects of mutations.
Label
Label means fitness score of each mutant amino acid sequence based on a deep mutation scanning… See the full description on the dataset page: https://huggingface.co/datasets/SaProtHub/Dataset-YAP1_HUMAN.ai-vs-real-text-generated-datasethuman-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.
Dataset-RASH_HUMAN
Description
This dataset contains signle site mutation of protein RASH_HUMAN and the correspond mutation effect score from deep mutation scanning experiment.
Protein Format: AA sequence
Splits
traing: 2479
valid: 338
test: 317
Related paper
The dataset is from Deep generative models of genetic variation capture the effects of mutations.
Label
Label means mutation effect score of each protein based on deep mutation scanning experiment, ranging from… See the full description on the dataset page: https://huggingface.co/datasets/SeprotHub/Dataset-RASH_HUMAN.Human_written_text_datadataset:
name: Mixed Text Dataset
total_samples: 20000
sources:
name: Wikipedia
samples: 10000
details: "20220301 dump"
name: Gutenberg
samples: 3000
details: "GutenDex API"
name: CNN/DailyMail
samples: 7000
details: "Version 3.0.0"
preprocessing:
method: regex_cleaning
description: "Replaced patterns like (.*?/) with whitespace"
human_annotated_datalbf-human-datafinalized-ai-vs-human-datasetemotion-data-enai-vs-human-datasetemotion-data-krBot_Human_Prompt_Tuning_Datasethuman-curated-industry-specific-datasets
Copyright Notice
© 2025 Featured — Compilation copyright only.Individual answers remain the copyright of their respective authors.
Each author granted Featured a worldwide, perpetual, transferable,
and sublicensable license to reproduce, distribute, modify, and
publicly display their content, as outlined in the Featured Terms of Service.Featured provides this dataset as a sublicense under those same Terms.
Use of the dataset constitutes acceptance of the rights and limitations… See the full description on the dataset page: https://huggingface.co/datasets/tech-featured/human-curated-industry-specific-datasets.