datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Robotic_Origami_Challenge
Robotic Origami Challenge: Fold Plane Demonstrations
Real-world LeRobot demonstrations for dexterous paper-airplane folding.
Overview
Robotic Origami Challenge: Fold Plane Demonstrations is a real-world teleoperation dataset for folding a paper airplane with a bimanual dexterous robot system. It is released by Sharpa in a LeRobot-compatible format for the Robotic Origami Challenge community.
Origami is a demanding benchmark for embodied AI:… See the full description on the dataset page: https://huggingface.co/datasets/SharpaIT/Robotic_Origami_Challenge.RoboCap-Origami-500
RoboCap-Origami-500
512 episodes of human bimanual origami folding, captured with RoboCap (a head-worn
stereo rig) and a pair of RoboWrist wrist cameras. Every episode carries 8 synchronized 1080p30
video streams — three stereo pairs from the head plus one downward view per wrist — alongside
200 Hz IMU and 100 Hz magnetometer from all three devices, and a machine-readable time-sync
validation report.
Origami is a deliberately hard target for manipulation research: the object is… See the full description on the dataset page: https://huggingface.co/datasets/BitRobot/RoboCap-Origami-500.genvsr-video-benchmarks
GenVSR Video Benchmarks
Public video inputs and restoration outputs used by the GenVSR Visual Comparator.
Each immutable experiment version contains aligned MP4 sources, posters, and a manifest.
Please consult the individual version manifest for source labels and comparison defaults.
origami-v3-merged
Robotic Origami Challenge — Unified LeRobot v3.0
A single, ready-to-train LeRobot v3.0 dataset of real-world bimanual dexterous
paper-airplane folding (robot type north_ces, Sharpa Hands), consolidated from
the per-season releases of the Robotic Origami Challenge.
Provenance. The upstream release ships as 46 separate per-season datasets,
each a self-contained v3.0 tree whose episode/frame/file indices restart at 0, plus a
redundant v2.1 copy. This repo merges all lerobot3.0… See the full description on the dataset page: https://huggingface.co/datasets/iris-kaist/origami-v3-merged.origami-v3-merged
Robotic Origami Challenge — Unified LeRobot v3.0
A single, ready-to-train LeRobot v3.0 dataset of real-world bimanual dexterous
paper-airplane folding (robot type north_ces, Sharpa Hands), consolidated from
the per-season releases of the Robotic Origami Challenge.
Provenance. The upstream release ships as 46 separate per-season datasets,
each a self-contained v3.0 tree whose episode/frame/file indices restart at 0, plus a
redundant v2.1 copy. This repo merges all lerobot3.0… See the full description on the dataset page: https://huggingface.co/datasets/suveen013/origami-v3-merged.in-the-grooveCompiled from several different sets of songs:
(ITG) In the Groove
(ITG) In the Groove 2
Songs were downloaded from https://search.stepmaniaonline.net/packs/in+the+groove and are stored here for persistence.
In The Groove/ITG typically refers to DDR beatmaps done with an eye towards pad play.
Dataset info: https://paperswithcode.com/dataset/itg
rigid-origami-crane-starter
lezhelun Rigid Origami State Set — paper crane, starter release
Produced by lezhelun / 乐折轮, a rigid-origami authoring engine.
A small, carefully measured set of rigid origami configurations of a single sheet
(a traditional paper-crane crease pattern), released so that anyone can build and
benchmark geometry-aware pipelines: 3D reconstruction, facet segmentation, crease-angle
regression, shape tracking, and differentiable/kinematic solvers.
Every state in this set is a… See the full description on the dataset page: https://huggingface.co/datasets/kidchi/rigid-origami-crane-starter.OrigamIM
OrigamIM: An Ambiguous Dataset of Sentence Interpretations, Implicit Moral Judgments and Reader Impressions
Introduction
Please cite following papers when using the origamIM dataset (paper 1 and paper 2):
Allein, Liesbeth, and Marie-Francine Moens. "OrigamIM: An Ambiguous Dataset of Sentence Interpretations, Implicit Moral Judgments and Reader Impressions." Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP @LREC-COLING 2024 (2024).
Allein… See the full description on the dataset page: https://huggingface.co/datasets/laallein/OrigamIM.egocentric-origami-001
egocentric-origami-001
日本語
一人称視点（エゴセントリック）映像から HaMeR で抽出した手の姿勢を、
LeRobotDataset v3.0 形式に変換したデータセットです。
ロボットではなく人の手（robot_type: human_hand）の動作記録である点に注意してください。
撮影方法
元動画: origami_001.mp4（iPhone・首掛けマウント・広角レンズ、自宅で撮影）
ドメイン: 折り紙（origami）、タスク: 折り鶴を折る
fps: 3（学習パイプライン検証用に間引き済み）
アノテーション手法
各フレームの動作説明（narration）は Gemini API による自動生成
人手レビュー済み（Gemini API + human review）
タスク分割は meta/tasks.parquet の2タスク（クリップごとに1タスクを割当）:
"Fold a piece of red origami… See the full description on the dataset page: https://huggingface.co/datasets/showway-ego/egocentric-origami-001.origami-direct-tiny
Origami Direct Crease Pattern Dataset
A multiview image dataset for training models to predict complete origami crease patterns from 3D visualizations.
Task
Given 14 camera views of a folded origami shape, predict the complete crease pattern as a FOLD JSON (vertices, edges, mountain/valley assignments).
Dataset Structure
Each example contains:
Field
Type
Description
id
string
Unique sample ID (e.g., grid4_4c_0000)
images
list[string]
14 PNG paths —… See the full description on the dataset page: https://huggingface.co/datasets/Origametry/origami-direct-tiny.origami3k
PaperFolding Benchmark
Origami paper folding dataset with train, validation, and test splits.
origami_preprocessed_stride_1origami-step-by-step-tiny
Origami Step-by-Step Crease Pattern Dataset
A multiview image dataset for training models to infer origami crease patterns from 3D visualizations, one fold at a time.
Task
Given 14 camera views of a partially-folded origami sheet, predict the next crease line to add (edge position + mountain/valley assignment).
This mirrors a step-by-step folding process: starting from a blank sheet, each step adds one crease and the model must predict the next one from the current 3D… See the full description on the dataset page: https://huggingface.co/datasets/Origametry/origami-step-by-step-tiny.egocentric-origami-002
egocentric-origami-002
日本語
一人称視点（エゴセントリック）映像から HaMeR で抽出した手の姿勢を、
LeRobotDataset v3.0 形式に変換したデータセットです。
ロボットではなく人の手（robot_type: human_hand）の動作記録である点に注意してください。
再構築について: 旧版のegocentric-origami-002は、誤ってorigami_001のHaMeR結果を
2回使って作られていました（egocentric-origami-001と完全に重複していた不具合）。
本バージョンはorigami_002.mp4由来の本物のHaMeR結果（726フレーム）から作り直したものです。
撮影方法
元動画: origami_002.mp4（iPhone・首掛けマウント・広角0.5倍レンズ、自宅で撮影）
ドメイン: 折り紙（origami）、タスク: 正方形の基本形 → 鶴の基本形 → 折り鶴の完成
fps:… See the full description on the dataset page: https://huggingface.co/datasets/showway-ego/egocentric-origami-002.part2-fold_unfold_paper_origamiThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "hand",
"total_episodes": 925,
"total_frames": 296870,
"total_tasks": 13,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:925"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/gsethia08/part2-fold_unfold_paper_origami.egocentric-origami-003
egocentric-origami-003
Hand-pose data extracted from an egocentric (first-person) video with HaMeR,
packaged as a LeRobotDataset v3.0. Recorded 2026-07-23 (a different day from
origami_001/002's 2026-07-17), blue paper, tasks: square base -> bird base ->
paper crane. See meta/source_info.json for narration timing correction notes
(if any) and hand-detection rates.
wan_origami_fold_effectThis dataset contains videos generated using Wan 2.1 T2V 14B.
origami_trexfraxtiljsynth-data
jsynth-data
Preprocessed datasets for Origami tabular/JSON synthesis experiments.
Each configuration is an independent dataset with its own schema and train/test split.
Datasets
Dataset
Train
Test
Type
adult
32,561
16,281
Tabular
diabetes
61,059
20,354
Tabular
electric_vehicles
189,010
21,001
Tabular
ddxplus
1,025,602
134,529
Semi-structured
Usage
from huggingface_hub import hf_hub_download
path = hf_hub_download(… See the full description on the dataset page: https://huggingface.co/datasets/origami-ml/jsynth-data.Quazim0t0__Origami-14B-sce-details
Dataset Card for Evaluation run of Quazim0t0/Origami-14B-sce
Dataset automatically created during the evaluation run of model Quazim0t0/Origami-14B-sce
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Quazim0t0__Origami-14B-sce-details.