datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.
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.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.
origami-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.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.wan_origami_fold_effectThis dataset contains videos generated using Wan 2.1 T2V 14B.
jsynth-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.