datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
human_data_for_openvlaMPII_Human_Pose_Dataset
Dataset Card for MPII Human Pose
MPII Human Pose dataset is a state of the art benchmark for evaluation of articulated human pose estimation.
The dataset includes around 25K images containing over 40K people with annotated body joints.
The images were systematically collected using an established taxonomy of every day human activities.
Overall the dataset covers 410 human activities and each image is provided with an activity label.
Each image was extracted from a YouTube… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/MPII_Human_Pose_Dataset.HSTLI_A-Dataset-of-Human-Semen-Time-Lapse-Images
HSTLI: A Dataset of Human Semen Time Lapse Images
Dataset Details
HSTLI contains 3,266 time-lapse microscopy videos of human sperm.Clips were recorded from two imaging modalities:
CASA system (Sperm Class Analyzer)
Optical microscope (Swift M10DB-MP + Fujifilm X-T30)
A subset of videos was manually annotated with bounding boxes around each visible sperm head.
The dataset supports detection, tracking and motility computation.
Total contents:
34… See the full description on the dataset page: https://huggingface.co/datasets/DFL-KamLab/HSTLI_A-Dataset-of-Human-Semen-Time-Lapse-Images.LA_dataset_human_made_franka_eef_Lerobotv21_260511Cabin-Human-Behavior-Dataset
全球最大的智能座舱多模态开源高质量数据集来啦！
一. 数据集摘要 (Dataset Summary)
「CyberData塞塔」智能座舱用户行为数据集是一个专为加速智能座舱感知算法开发而设计的高质量、程序化生成的图像数据集。随着 C-NCAP、EU GSR 等全球汽车安全法规对驾驶员监控系统 (DMS) 和乘客监控系统 (OMS) 提出更高要求，安全、合规、多样化的训练数据变得至关重要。本数据集通过合成方式，旨在解决真实世界数据采集面临的隐私风险、高昂成本和长尾场景覆盖不足等核心挑战。
该数据集包含 5,000 张 由 XAI Lab 自主研发的数据集生成引擎合成的高保真座舱内用户行为图像，每张图像都附带丰富的、100% 精确的标注信息。
核心特点:
丰富的场景多样性: 涵盖不同年龄、性别、种族和衣着风格的虚拟人模型，以及多种驾驶与乘坐行为（如使用手机、喝水、疲劳、手势）和面部表情。
专为座舱感知优化: 数据集可直接用于智能座舱端侧视觉模型，尤其是 DMS/OMS 算法的训练、微调与验证，帮助模型精准理解座舱内复杂的交互与状态。… See the full description on the dataset page: https://huggingface.co/datasets/XAILab-CyberSpark/Cabin-Human-Behavior-Dataset.tokenization-multiplicity-data
Dataset: Tokenization Multiplicity Leads to Arbitrary Price Variation in LLM-as-a-service
This dataset contains the official experiment inference traces for the paper Tokenization Multiplicity Leads to Arbitrary Price Variation in LLM-as-a-service by Ivi Chatzi, Nina Corvelo Benz, Stratis Tsirtsis and Manuel Gomez-Rodriguez.
📂 Dataset Structure
The dataset is organized into folders as follows:
.\{model}\{task}\{lang}\{seed}_{10*temperature}.jsonl
where {model}… See the full description on the dataset page: https://huggingface.co/datasets/Human-Centric-Machine-Learning/tokenization-multiplicity-data.700k_Human_Preference_Dataset_FLUX_SD3_MJ_DALLE3
NOTE: A newer version of this dataset is available Imagen3_Flux1.1_Flux1_SD3_MJ_Dalle_Human_Preference_Dataset
Rapidata Image Generation Preference Dataset
This Dataset is a 1/3 of a 2M+ human annotation dataset that was split into three modalities: Preference, Coherence, Text-to-Image Alignment.
Link to the Coherence dataset: https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Coherence_Dataset
Link to the Text-2-Image Alignment dataset:… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/700k_Human_Preference_Dataset_FLUX_SD3_MJ_DALLE3.Human-Like-DPO-Dataset
Enhancing Human-Like Responses in Large Language Models
🤗 Models | 📊 Dataset | 📄 Paper
📢 The paper associated with this dataset has been accepted to the AAAI-26 Workshop on Personalization in the Era of Large Foundation Models (PerFM).
Human-Like-DPO-Dataset
This dataset was created as part of research aimed at improving conversational fluency and engagement in large language models. It is suitable for formats like Direct Preference Optimization (DPO) to guide… See the full description on the dataset page: https://huggingface.co/datasets/HumanLLMs/Human-Like-DPO-Dataset.Flux_SD3_MJ_Dalle_Human_Alignment_Dataset
NOTE: A newer version of this dataset is available Imagen3_Flux1.1_Flux1_SD3_MJ_Dalle_Human_Alignment_Dataset
Rapidata Image Generation Alignment Dataset
This Dataset is a 1/3 of a 2M+ human annotation dataset that was split into three modalities: Preference, Coherence, Text-to-Image Alignment.
Link to the Coherence dataset: https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Coherence_Dataset
Link to the Preference dataset:… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Alignment_Dataset.human_parsing_dataset
Dataset Card for Human parsing data (ATR)
Dataset Summary
This dataset has 17,706 images and mask pairs. It is just a copy of
Deep Human Parsing ATR dataset. The mask labels are:
"0": "Background",
"1": "Hat",
"2": "Hair",
"3": "Sunglasses",
"4": "Upper-clothes",
"5": "Skirt",
"6": "Pants",
"7": "Dress",
"8": "Belt",
"9": "Left-shoe",
"10": "Right-shoe",
"11": "Face",
"12": "Left-leg",
"13": "Right-leg",
"14":… See the full description on the dataset page: https://huggingface.co/datasets/mattmdjaga/human_parsing_dataset.text-to-speech-human-preferences-315k
Text-to-speech human preferences: 315K votes across 15 models
This gated dataset contains the evaluation record behind Datapoint Audio
Bench: 315,000 eligible pairwise votes comparing 15 text-to-speech
models in a complete round-robin over 300 English prompts. The prompt set
covers eight practical voice-agent categories, and every generated sample is
included as a typed audio record.
The source evaluation collected 357,651 completed responses. The published
benchmark excluded… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/text-to-speech-human-preferences-315k.Flux_SD3_MJ_Dalle_Human_Coherence_Dataset
NOTE: A newer version of this dataset is available: Imagen3_Flux1.1_Flux1_SD3_MJ_Dalle_Human_Coherence_Dataset
Rapidata Image Generation Coherence Dataset
This Dataset is a 1/3 of a 2M+ human annotation dataset that was split into three modalities: Preference, Coherence, Text-to-Image Alignment.
Link to the Preference dataset: https://huggingface.co/datasets/Rapidata/700k_Human_Preference_Dataset_FLUX_SD3_MJ_DALLE3
Link to the Text-2-Image Alignment dataset:… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Coherence_Dataset.text-2-image-human-preferences-2m
Text-to-image human preferences: 2M votes across 30 models
This dataset contains the complete voting record behind the
Datapoint Image Bench
leaderboard: 2,161,160 validated pairwise votes — exactly 10 for each of
216,116 image pairs. The votes compare 30 text-to-image models in a complete
round-robin on 500 prompts, judged by annotators from over 200 countries.
Every vote includes the annotator's trust score at the time the vote was
cast.
Built on the Datapoint annotation… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/text-2-image-human-preferences-2m.009_blender_vault_dataset_11000_11999009_blender_vault_dataset_10000_10999human_performance_dataset
Human performance dataset
Piano MIDI dataset used for training and evaluation. Layout and processing:
Source: MAESTRO (or similar) with a prompt (or user_prompt) per piece.
Augmentation: dataset_preprocess/augment_dataset.py adds pitch/time/velocity variants; output CSV lists originals and augmented files.
Grouping: dataset_preprocess/group_dataset.py copies MIDIs into grouped/ as composer/genre/filename.mid (and augmented/composer/genre/ for augmented). Genre is taken from the… See the full description on the dataset page: https://huggingface.co/datasets/cnmat/human_performance_dataset.dopabase-human-dataCabin-Human-ABNORMAL-Behavior-Dataset
全球最大的智能座舱多模态开源高质量数据集来啦！
一. 数据集摘要 (Dataset Summary)
「CyberData塞塔」智能座舱用户行为数据集是一个专为加速智能座舱感知算法开发而设计的高质量、程序化生成的图像数据集。随着 C-NCAP、EU GSR 等全球汽车安全法规对驾驶员监控系统 (DMS) 和乘客监控系统 (OMS) 提出更高要求，安全、合规、多样化的训练数据变得至关重要。本数据集通过合成方式，旨在解决真实世界数据采集面临的隐私风险、高昂成本和长尾场景覆盖不足等核心挑战。
该数据集包含 5,000 张 由 XAI Lab 自主研发的数据集生成引擎合成的高保真座舱内用户行为图像，每张图像都附带丰富的、100% 精确的标注信息。
数据格式
数据集以JSON格式提供，包含以下字段：
image_id: 图像ID
image_path: 图像路径
category: 行为类别
tags: 行为标签
behaviors: 包含左右乘客行为描述的对象
left_passenger: 左侧乘客行为描述… See the full description on the dataset page: https://huggingface.co/datasets/XAILab-CyberSpark/Cabin-Human-ABNORMAL-Behavior-Dataset.009_blender_vault_dataset_0_999009_blender_vault_dataset_2000_2999humandata_test2strategic-ttc-data
Dataset: Strategic Test-Time Compute (TTC)
This dataset contains the official experiment inference traces for the paper "Test-Time Compute Games" (arXiv:2601.21839).
It includes full model generations, token counts, and correctness verifications for various Large Language Models (LLMs) across three major reasoning benchmarks: GSM8K, AIME, and GPQA.
This data allows researchers to analyze the relationship between test-time compute and model performance without needing to re-run… See the full description on the dataset page: https://huggingface.co/datasets/Human-Centric-Machine-Learning/strategic-ttc-data.human-vs-Ai-generated-datasetfurry_dataset_e621_captions_claims_human_reviewedAbout 13,000 human reviewed captions. ~5000 of them were reviewed by me, the rest by independent workers.
I cannot confirm they will have caught all of the mistakes (there will still be some small mistakes). But the accuracy of these captions is higher than what any VLM can produce.
The "claims" are one-liner claims about an image, and given a truth value. Mostly machine-verified, but the ~10000 human-reviewed ones are a very valuable set of sex-related items or items which powerful VLMs had… See the full description on the dataset page: https://huggingface.co/datasets/furproxy/furry_dataset_e621_captions_claims_human_reviewed.swimsuit-human-segmentation-dataset
People Clothing Segmentation Dataset
Dataset comprises 14,358 high-quality photos of 7,179 people of diverse genders wearing bathing suits, each paired with detailed segmentation masks for precise body-parts segmentation. It designed for semantic and instance segmentation tasks, this large-scale collection offers manually annotated labels, enabling robust training for deep learning models in human body analysis.
By leveraging this dataset, researchers can train high-precision… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/swimsuit-human-segmentation-dataset.ai-vs-human-rubric-companion-data
Companion dataset for the AI-vs-human rubric study
This dataset is the data side of an anonymous NeurIPS submission. It pairs with a separate anonymous code repository that contains the runnable scripts, validators, and documentation. The two artifacts together reproduce every paper-facing headline number without re-running any API-backed stage. The code URL for review is https://anonymous.4open.science/r/codereviewer-47F3/README.md.
How to use
Download this… See the full description on the dataset page: https://huggingface.co/datasets/forreview43/ai-vs-human-rubric-companion-data.A_PROBE_HUMAN_MOTION_DATA_FOR_HUMANOID_CONTROL
A Probe — Human Motion Data for Humanoid Control
Markerless video-derived kinematics
A motion-data corpus built on one subject, filmed on one iPhone at up to 240 frames per second. Pose is extracted from the video with markerless software (MediaPipe-class models) — no suits, no markers, no lab. The corpus covers three movement categories under one protocol: percussion, everyday extreme motion, and sports tasks. Every take is a first recorded attempt, performed… See the full description on the dataset page: https://huggingface.co/datasets/chadfaulk/A_PROBE_HUMAN_MOTION_DATA_FOR_HUMANOID_CONTROL.human_protein_atlas_cells_dataset009_blender_vault_dataset_9000_9999009_blender_vault_dataset_1000_1999