datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
explicit-edit-benchmark
Explicit Edit Benchmark
226 deterministic exact-edit tasks, run by different agents, harnesses, models and configurations. Every observation records what the harness did and whether the resulting files matched byte for byte.
Source code and benchmark runner: GitHub — Explicit Edit Benchmark
Open the interactive Explorer to compare agents, harnesses, models, versions, reasoning modes, correctness, recovery, time, cost and tokens.
Leaderboard by model route
Score v2… See the full description on the dataset page: https://huggingface.co/datasets/alexshpunt/explicit-edit-benchmark.Inter-Edit-Train
Inter-Edit-Train
Inter-Edit-Train is the official large-scale training set released for the CVPR 2026 paper Inter-Edit: First Benchmark for Interactive Instruction-Based Image Editing.
This dataset is designed for the Interactive Instruction-based Image Editing (I^3E) task, where a model performs localized image edits from a concise textual instruction together with imprecise spatial guidance.
Highlights
1,099,964 image editing pairs
610,186 unique source images
Four… See the full description on the dataset page: https://huggingface.co/datasets/a1557811266/Inter-Edit-Train.SEED-Data-Edit-Part1-Openimages
SEED-Data-Edit
SEED-Data-Edit is a hybrid dataset for instruction-guided image editing with a total of 3.7 image editing pairs, which comprises three distinct types of data:
Part-1: Large-scale high-quality editing data produced by automated pipelines (3.5M editing pairs).
Part-2: Real-world scenario data collected from the internet (52K editing pairs).
Part-3: High-precision multi-turn editing data annotated by humans (95K editing pairs, 21K multi-turn rounds with a maximum of 5… See the full description on the dataset page: https://huggingface.co/datasets/AILab-CVC/SEED-Data-Edit-Part1-Openimages.r2e-dockers-rllm-v1digitalnz
DigitalNZ and RNZ Source Archive
Registry status
Registry ID: edithatogo/digitalnz
Family: nz-cultural-heritage
Repository role: mixed_source_archive
Canonical dataset: edithatogo/digitalnz
Operational status: active_mixed_bundle
Rights status: component_specific_review_required
Authoritative catalog: edithatogo/dataset-estate-registry
Origin and provenance
Origin repository: https://github.com/edithatogo/dnz
Upstream source: DigitalNZ API… See the full description on the dataset page: https://huggingface.co/datasets/edithatogo/digitalnz.editlens_iclrdockersv1r2e-dockers-v3r2e-dockers-v2deepswe-verifier-2582-v1edit_5k_char
Dataset Card for "edit_time_5k_refined_deepseek_bins"
More Information needed
edit_10k_charEditVerseBench
EditVerse
This repository contains the instruction-based video editing evaluation benchmark for EditVerseBench in paper "EditVerse: A Unified Framework for Editing and Generation via In-Context Learning".
Xuan Ju12, Tianyu Wang1, Yuqian Zhou1, He Zhang1, Qing Liu1, Nanxuan Zhao1, Zhifei Zhang1, Yijun Li1, Yuanhao Cai3, Shaoteng Liu1, Daniil Pakhomov1, Zhe Lin1, Soo Ye Kim1*, Qiang Xu2*
1Adobe Research 2The Chinese University of Hong Kong 3Johns Hopkins University *Corresponding… See the full description on the dataset page: https://huggingface.co/datasets/sooyek/EditVerseBench.dllm-img-edit-vq-cacheau-editingarchive-govt-nz-global
New Zealand Government Open Data Global Preservation Archive
Automated preservation archive and analytical columnar derivatives of
open government datasets published across catalogue.data.govt.nz.
Archival Provenance & Integrity
Publisher: New Zealand Open Government Data Programme
Archive System: archive-govt-nz
Snapshot Date: 2026-09-20T09:11:39.203733+00:00
Datasets Catalogued: 0
Resources Captured into CAS: 0
Integrity Standard: Dual SHA-256 and BLAKE3 CAS… See the full description on the dataset page: https://huggingface.co/datasets/edithatogo/archive-govt-nz-global.deepswe-verifier-merged-with-regression-with-filenamesdataset_testing_editedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"left_shoulder_pan.pos",
"left_shoulder_lift.pos",
"left_elbow_flex.pos",
"left_wrist_flex.pos",
"left_wrist_roll.pos",
"left_gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/hs4701/dataset_testing_edited.deepswe-verifier-2582-v2deepswe-verifier-merged-with-regressionffw_sg2_rev1_task_230_0126_jungmin_1_editThis dataset was created using Physical AI Tools and LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "ffw_sg2_rev1",
"total_episodes": 12,
"total_frames": 7399,
"total_tasks": 1,
"total_videos": 36,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:12"},
"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/RobotisSW/ffw_sg2_rev1_task_230_0126_jungmin_1_edit.deepswe-verifier-merged-with-regression-with-filenames-cleantaskweft-fbd-editscore-train
taskweft-fbd-editscore-train
Intents and the IEC 61131-3 Function Block Diagrams that carry them out, as an
EditScore-shaped corpus: one root row per intent, three candidates per row (rank1 the
reference diagram, rank3 one that compiles and does the wrong thing, rank5 one the
compiler refuses), and one score row per candidate from the compiler and a runner that performed the plan. Every row is
constructed from a template and a seed, so the labels are true by construction and
the… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/taskweft-fbd-editscore-train.ffw_sg2_rev1_task_162_0115_jungmin_2_editThis dataset was created using Physical AI Tools and LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "ffw_sg2_rev1",
"total_episodes": 19,
"total_frames": 6734,
"total_tasks": 1,
"total_videos": 57,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:19"},
"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/RobotisSW/ffw_sg2_rev1_task_162_0115_jungmin_2_edit.nz-hansard-corpus
New Zealand Hansard Corpus
Registry status
Registry ID: edithatogo/nz-hansard-corpus
Family: nz-parliament
Repository role: canonical_dataset
Canonical dataset: edithatogo/nz-hansard-corpus
Operational status: active
Rights status: source_specific_review_required
Authoritative catalog: edithatogo/dataset-estate-registry
Origin and provenance
Origin repository: https://github.com/edithatogo/corpus-nz-hansard
Upstream source: New Zealand Hansard… See the full description on the dataset page: https://huggingface.co/datasets/edithatogo/nz-hansard-corpus.MMH3_Image_Edit_WorkflowThis is just an example of using MiniMax H3 as an image editor. The actual workflow that I use requires several custom nodes, some of which are not published, so this one is simply a bare bones demonstration.
This uses the hybrid MiniMax H3 model from here: https://huggingface.co/smhfacct/Minimax-H3-fl2va-ref2va-hybrid-models/tree/main
It uses the custom VAE from here: https://huggingface.co/Mamad8/MiniMax-H3-Image-VAE/tree/main
It uses the LoRA from here:… See the full description on the dataset page: https://huggingface.co/datasets/fizzlepoof/MMH3_Image_Edit_Workflow.OralGPT-X-Editdeepswe-verifier-3582-exitreason-agent-priority-v1deepswe-swebv-eval-n16-verifier-v1ffw_sg2_rev1_task_302_0203_bokyung_1_editThis dataset was created using Physical AI Tools and LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "ffw_sg2_rev1",
"total_episodes": 50,
"total_frames": 4337,
"total_tasks": 1,
"total_videos": 150,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:50"},
"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/RobotisSW/ffw_sg2_rev1_task_302_0203_bokyung_1_edit.