datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SWiM-SpacecraftWithMasks
SWiM: Spacecraft With Masks
A large-scale instance segmentation dataset of nearly 64k annotated spacecraft images created using real spacecraft models, superimposed on a mixture of real and synthetic backgrounds generated using NASA's TTALOS pipeline. To mimic camera distortions and noise in real-world image acquisition, we added different types of noise and distortion.
Dataset Summary
The dataset contains over 63,917 annotated images with instance masks for varied… See the full description on the dataset page: https://huggingface.co/datasets/RiceD2KLab/SWiM-SpacecraftWithMasks.Anime-Background-Finetuning-V1.1
Anime-Background-Finetuning (10143 manually curated by hand images from danbooru and reddit collections)
The dataset contain roughly 2k of anime Screencap data and 8k of scrapped danbooru illustration data.
This is the proccessed version of the dataset meant to be used for my personal finetuning practice project, please visit my RicemanT/Background-Finetuning repo for the raw unprocessed data that you can process yourself.
The dataset have two minor type of processing being done… See the full description on the dataset page: https://huggingface.co/datasets/RicemanT/Anime-Background-Finetuning-V1.1.Anime-Background-Finetuning-Unprocessed
Anime-Background-Dataset (10143 manually curated by hand images from danbooru and reddit collections)
The dataset contain roughly 2k of Screencap data and 8k of scrapped danbooru illustration data.
It is all raw unprocessed data, the illust folder contain scrapped danbooru tags sidecar .txt on most of the images, while the screencap have non. The processed data is being worked on a seperate repo (Anime-Background-Finetuning)
Agilex_Cobot_Magic_pour_rice
Agilex_Cobot_Magic_pour_rice
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: Agilex_Cobot_Magic
| Codebase Version: v2.1
End-Effector Type: two_finger_gripper
🏠 Scene Types
This dataset covers the following scene types:
home
kitchen
🤖 Atomic Actions
This dataset includes the following atomic actions:
place
pick
grasp
pour
📊 Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/Agilex_Cobot_Magic_pour_rice.egoinfinity
EgoInfinity (preview)
Derivative scene assets for a curated subset of Action100M (Meta FAIR) clips.
Preview — not for general release. Schema and contents may change.
License
FAIR Noncommercial Research License v1 (see LICENSE-Action100M). Noncommercial research only.
Built by the Rice RobotPI Lab.
Retarget
For 104 of the clips under samples/, we provide retargeting results on four
robot embodiments under samples/<clip>/retarget/<robot>/:
franka —… See the full description on the dataset page: https://huggingface.co/datasets/Rice-RobotPI-Lab/egoinfinity.RMC-AIDA-L_pour_rice
RMC-AIDA-L_pour_rice
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: realman_rmc_aidal
| Codebase Version: v2.1
End-Effector Type: two_finger_gripper
🏠 Scene Types
This dataset covers the following scene types:
kitchen
restaurant
🤖 Atomic Actions
This dataset includes the following atomic actions:
grasp
pick
place
pour
📊 Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/RMC-AIDA-L_pour_rice.AgiBotWorld-Beta_G1_task_596_Put_the_inner_pot_containing_rice_into_the_rice_cooker_and_cook
agibot_task_596
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 将装有米饭的内锅放入电饭锅中煮。
total_episodes: 815
total_tasks: 1
size: 45G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_596_Put_the_inner_pot_containing_rice_into_the_rice_cooker_and_cook.rice-disease-datasetThis is the dataset for my project of Plant Diagnosis Suite at here. You can check out to see a Disease Detector trained on this dataset
Vietnamese Rice Disease & Crop Recommendation Dataset
An agricultural AI dataset collected in Vietnam, containing 37,978 rice plant images across 21 classes (diseases, pests, nutrient deficiencies, healthy) — for image classification.
Dataset Summary
Component
Type
Samples
Classes
Task
Rice Disease Images
Image (JPG)
37,978… See the full description on the dataset page: https://huggingface.co/datasets/minhhungg/rice-disease-dataset.ricemaize
🌾 Rice & Maize Crop Disease & Pest Detection Dataset
A comprehensive dataset containing 29,052 images for Rice and Maize crop health monitoring, disease identification, and pest detection.
📊 Dataset Structure
1. Maize (maize/) — 10,445 Images (9 Classes)
Diseases: Common Rust, Gray Leaf Spot, Northern Leaf Blight, Ear Rot
Healthy: Healthy Maize
Pests: Fall Armyworm, Stem Borer, Corn Borer, Army Worm
2. Rice (rice/) — 18,607 Images… See the full description on the dataset page: https://huggingface.co/datasets/shanmuga12234/ricemaize.RiceBenchmark
RiceBenchmark
RiceBenchmark is a benchmark designed to evaluate genomic foundation models (gLMs) on rice-related tasks.
It integrates 26 curated datasets across five task categories, along with 5 additional evaluation tasks derived from the AgroNT study, covering challenges from local sequence identification to population-level inference.
References
📄 Technical report: https://www.biorxiv.org/content/10.64898/2026.04.21.719822v1
💻 GitHub repository:… See the full description on the dataset page: https://huggingface.co/datasets/ZhejiangLab/RiceBenchmark.rice_cooker_step_3
rice-cooker_step_3 TsFile
This repository contains a TsFile conversion of the numeric time-series data
from villekuosmanen/rice-cooker_step_3, while preserving the LeRobot episode-level repository layout.
Source Dataset
The source dataset was created using LeRobot.
Source: villekuosmanen/rice-cooker_step_3
License: apache-2.0
LeRobot codebase version: v2.1
Robot type: arx5
Episodes: 100
Frames: 53,492
Tasks: 1
FPS: 50
Video streams: observation.images.front… See the full description on the dataset page: https://huggingface.co/datasets/THULab/rice_cooker_step_3.rice-cooker_step_0This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "arx5",
"total_episodes": 100,
"total_frames": 37863,
"total_tasks": 1,
"total_videos": 200,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:100"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/rice-cooker_step_0.booru-essence-2026-tars
Booru Essence 2026 — tar shards
Tar shards for RicemanT/booru-essence-2026 (metadata, viewer, CSVs). Derivative of Lodestones/booru-essence; all artwork © its respective artists (Danbooru / e621).
Layout
47 shards (train-000000.tar … train-000047.tar, ~1.5 GB each except for shard 47). Every sample is a triplet keyed by md5:
<md5>.<ext> — image (jpg/png/webp)
<md5>.json — metadata: md5, source, rating, caption_bucket, tags, caption, trigger_tag, image_width… See the full description on the dataset page: https://huggingface.co/datasets/RicemanT/booru-essence-2026-tars.rice-cooker_step_3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "arx5",
"total_episodes": 100,
"total_frames": 53492,
"total_tasks": 1,
"total_videos": 200,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:100"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/rice-cooker_step_3.MMST-ViT-Inspired_Rice_Production_Prediction_DatasetMost of the files are readyily downloadable and applicable to the code without modifications. However, due to the large size of unprocessed Sentinel-2 pretraining and fine-tuning folders, they have been split by year.
To run the code without modifying root directory paths, the Sentinel-2_Pretrain files should be renamed to their respective years (as shown below). They should be then included as subfolders within a parent folder named 'Pretrain_Sentinel2_Data'.
'Seninel-2_Pretrain_2017' ->… See the full description on the dataset page: https://huggingface.co/datasets/iustinr/MMST-ViT-Inspired_Rice_Production_Prediction_Dataset.booru-essence-2026
Booru Essence - 2026 edition
A highly condensed, diversity-maximized image dataset distilled from booru-style image boards.
The original version of this dataset is Lodestone-Rock Booru-Essence, but it used 2024 tag definition and is captioned with old outdated captioners.
So I went ahead and update tag definition to July/August 2026 and most importantly:
-Tagged additional tags using the https://huggingface.co/animetimm/convnextv2_huge.dbv4-full model for Danbooru, and… See the full description on the dataset page: https://huggingface.co/datasets/RicemanT/booru-essence-2026.rice-quality-assessment-qwen-vlrice_leaf_disease_classification
Rice Leaf Disease Classification
A dataset for image classification of Rice Leaf Disease Classification. The dataset contains 3,829 images across 6 classes: Bacterial_Leaf_Blight, Brown_Spot, Healthy_Rice_Leaf, Leaf_Blast, Leaf_Scald, Sheath_Blight.Images per class:
Bacterial_Leaf_Blight: 636
Brown_Spot: 646
Healthy_Rice_Leaf: 653
Leaf_Blast: 634
Leaf_Scald: 628
Sheath_Blight: 632
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_leaf_disease_classification.rice-cooker_step_1_truncated_xThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "arx5",
"total_episodes": 98,
"total_frames": 27410,
"total_tasks": 1,
"total_videos": 196,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:98"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/rice-cooker_step_1_truncated_x.Genshin_Impact_RaidenShogun_Voice_koreantemprice_leaf_disease_classification_india
Rice Leaf Disease Classification India
A dataset for disease classification of rice leaves. The dataset contains 5,932 images across 4 classes: Bacterialblight, Blast, Brownspot, Tungro.Images per class:
Bacterialblight: 1,584
Blast: 1,440
Brownspot: 1,600
Tungro: 1,308
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{sethy2020deep,
title={Deep feature based rice leaf disease identification using… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_leaf_disease_classification_india.weedy_rice_segmentation
Weedy Rice Segmentation
A dataset for semantic segmentation of weedy rice. The dataset contains 734 images with pixel-level mask annotations.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original train/test/val split has been preserved in the split column.
Citation
@article{nguyen2025dataset,
title={A dataset of aligned RGB and multispectral UAV imagery for semantic segmentation of weedy rice}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/weedy_rice_segmentation.pnp_ricecookerThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "Stretch",
"total_episodes": 40,
"total_frames": 14370,
"total_tasks": 2,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:40"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/AnranZZ/pnp_ricecooker.ICW
Individual Cats in the Wild (ICW)
ICW is an identity-disjoint benchmark for individual cat identification in
unconstrained images. It contains 82,791 JPEG images of 19,877 individual
cats, collected from six public adoption and rescue platforms and curated for
fine-grained recognition and image retrieval research.
ICW accompanies the MeowID project:
MeowID: A Dual-Expert Retrieval System for Individual Cat Identification
Zhangchi Hu, Yi Shang, Haocheng Yang, Qiwei Hu, and… See the full description on the dataset page: https://huggingface.co/datasets/RicePasteM/ICW.RiceCCThe official dataset of An Overall Real-Time Mechanism for Classification and Quality Evaluation of Rice at AAAI 2026 Workshop AgriAI.
2026.01.15: The codes of RiceCC can be found at here.
If you find this helpful, please consider cite:
@misc{xia2025overallrealtimemechanismclassification,
title={An Overall Real-Time Mechanism for Classification and Quality Evaluation of Rice},
author={Wanke Xia and Ruoxin Peng and Haoqi Chu and Xinlei Zhu and Zhiyu Yang and Yiting Zhao and Lili… See the full description on the dataset page: https://huggingface.co/datasets/xwk25/RiceCC.open_the_ricecooker_pi_liberoThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "Stretch",
"total_episodes": 32,
"total_frames": 10000,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:32"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/AnranZZ/open_the_ricecooker_pi_libero.mtedf-rice-vep
MTEDF Rice Variant-Effect Prediction
This public dataset contains the rice (Oryza sativa ssp. japonica)
MSU7/IRGSP-1.0 reference genome, population SNVs with exact per-site allele
numbers, conservation tracks, and genome-wide nucleotide log-likelihood ratios
(LLRs) from multiple DNA language models. It also includes the Top4 Q25
ensemble and the analysis-ready merged variant table used by the accompanying
rice variant-effect prediction benchmark.
The selected rice COD PlantCAD… See the full description on the dataset page: https://huggingface.co/datasets/xxl0001/mtedf-rice-vep.Dhan-Shomadhan_rice_leaf_disease_classification
Dhan Shomadhan Rice Leaf Disease Classification
This dataset provides real-world RGB images of rice leaves affected by multiple disease symptoms, captured under natural agricultural conditions. It offers a practical resource for developing and evaluating computer vision models in agricultural disease detection and monitoring applications. The dataset contains 1,106 images across 8 classes: Brown Spot, Browon Spot, Leaf Scaled, Rice Blast, Rice Tungro, Rice Turgro, Shath Blight… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Dhan-Shomadhan_rice_leaf_disease_classification.RiceSEG
RiceSEG
Global Rice Multi-Class Segmentation Dataset (RiceSEG): A Comprehensive and Diverse High-Resolution RGB-Annotated Images for the Development and Benchmarking of Rice Segmentation Algorithms.
1.Downloads
You can find RiceSEG files in “files and versions” and download them to the specified directory.
2.Dataset Structure
The folder is divided into five countries, and each country folder has a corresponding regional subdataset, details of which can be… See the full description on the dataset page: https://huggingface.co/datasets/PheniX-Lab/RiceSEG.