datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ImageNet-C-shot_noise-severity_5types-of-film-shots
What a Shot!
2,919 film frames labeled with shot scale (8 classes), from film-grab.com.
annotator
count
how labeled
human
863
hand-labeled (gold)
ai
2,056
DINOv2 classifier; low-confidence frames re-judged by Claude Opus (active learning)
Columns
image, label — ambiguous, closeUp, detail, extremeLongShot, fullShot, longShot, mediumCloseUp, mediumShot
annotator — human or ai
source — human / v2_highconf / opus_review / opus_resolved_amb… See the full description on the dataset page: https://huggingface.co/datasets/szymonrucinski/types-of-film-shots.ViRFT_COCO_8_cate_4_shotfew-shot-anime-face
Citation
@article{DBLP:journals/corr/abs-2101-04775,
author = {Bingchen Liu and
Yizhe Zhu and
Kunpeng Song and
Ahmed Elgammal},
title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot
Image Synthesis},
journal = {CoRR},
volume = {abs/2101.04775},
year = {2021},
url = {https://arxiv.org/abs/2101.04775},
eprinttype = {arXiv},
eprint = {2101.04775},
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-anime-face.ShotDEAD-v0
ShotDEAD-v0
Shot Directors Environment Actors Dataset
This dataset covers environment and contains still frames from a variety of films. The tags describe visual attributes of each image, including color, lighting, and composition.
Dataset Structure
Example Tags
Each image is labeled with the following categories:
COLOR
Indicates the dominant color palette in the image:
Mixed
Saturated
Desaturated
Warm
Red
Blue
Cyan
LIGHTING
Describes… See the full description on the dataset page: https://huggingface.co/datasets/diffusers/ShotDEAD-v0.few-shot-art-painting
Citation
@article{DBLP:journals/corr/abs-2101-04775,
author = {Bingchen Liu and
Yizhe Zhu and
Kunpeng Song and
Ahmed Elgammal},
title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot
Image Synthesis},
journal = {CoRR},
volume = {abs/2101.04775},
year = {2021},
url = {https://arxiv.org/abs/2101.04775},
eprinttype = {arXiv},
eprint = {2101.04775},
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-art-painting.shotpath-action-diagnostic-venuslike-eval-20260709# ShotPath Action Diagnostic Venus-like Eval 20260709
This bundle contains the LLM-audited pure-operation diagnostic set for Venus-like evaluation.
Files:
action_diagnostic_pure_operation.jsonl: 908 examples after leakage audit.
images/: image files referenced by the jsonl.
scripts/eval_action_diagnostic_qwen25vl.py: Qwen2.5-VL base/LoRA evaluator.
scripts/run_action_diagnostic_venuslike_eval_server.sh: server runner for base7b, stage1 step200, stage2 step200.
Default server paths in the… See the full description on the dataset page: https://huggingface.co/datasets/purefall/shotpath-action-diagnostic-venuslike-eval-20260709.few-shot-imagesshotcrete-depthShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments
We are releasing the "ShotcreteDepeth" dataset capturing a shotcreting and construction environment.
The dataset is aimed at development and evaluation of stereo matching, depth completion and depth estimation methods.
For more information check the following:
repository: https://github.com/DTU-PAS/shotcrete-depth
paper: https://arxiv.org/abs/2606.23152
ImageNet-C-shot_noise-severity_3molmoact2-so101-zero-shot-eval
MolmoAct2 SO-101 Zero-Shot Evaluation Traces
This repository contains evaluation traces from running allenai/MolmoAct2-SO100_101 zero-shot on an SO-101 robot arm using the official LeRobot MolmoAct2 integration plus a remote async inference setup.
This is an evaluation artifact, not a training dataset or model checkpoint. The model under test is AllenAI's released MolmoAct2 SO-100/SO-101 checkpoint.
Summary
MolmoAct2 remote inference was successfully brought up on… See the full description on the dataset page: https://huggingface.co/datasets/abdul004/molmoact2-so101-zero-shot-eval.few-shot-pokemon
Citation
@article{DBLP:journals/corr/abs-2101-04775,
author = {Bingchen Liu and
Yizhe Zhu and
Kunpeng Song and
Ahmed Elgammal},
title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot
Image Synthesis},
journal = {CoRR},
volume = {abs/2101.04775},
year = {2021},
url = {https://arxiv.org/abs/2101.04775},
eprinttype = {arXiv},
eprint = {2101.04775},
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-pokemon.few-shot-obama
Citation
@article{DBLP:journals/corr/abs-2101-04775,
author = {Bingchen Liu and
Yizhe Zhu and
Kunpeng Song and
Ahmed Elgammal},
title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot
Image Synthesis},
journal = {CoRR},
volume = {abs/2101.04775},
year = {2021},
url = {https://arxiv.org/abs/2101.04775},
eprinttype = {arXiv},
eprint = {2101.04775},
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-obama.ShotFinder
ShotFinder: Imagination-Driven Open-Domain Video Shot Retrieval via Web Search
[📝 arXiv Paper] [🔗 Github]
ShotFinder Benchmark
Curated Open-Domain Collection: Contains 1,210 high-quality video samples collected from YouTube across 20 diverse thematic categories (e.g., Knowledge, Gaming, Fashion, Documentaries).
Constraint-Driven Task Design: Defines 6 specific task settings: a core Shot Description task plus 5 single-factor constraints (Temporal… See the full description on the dataset page: https://huggingface.co/datasets/Kirito-Lab/ShotFinder.few_shot_amcfew-shot-grumpy-cat
Citation
@article{DBLP:journals/corr/abs-2101-04775,
author = {Bingchen Liu and
Yizhe Zhu and
Kunpeng Song and
Ahmed Elgammal},
title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot
Image Synthesis},
journal = {CoRR},
volume = {abs/2101.04775},
year = {2021},
url = {https://arxiv.org/abs/2101.04775},
eprinttype = {arXiv},
eprint = {2101.04775},
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-grumpy-cat.HF_LIBERO_5_SHOTshotpath-grpo-trajectory-audit-20260729
ShotPath GRPO trajectory audit
This audit reconstructs the committed 260-step trajectory by keeping the last logged occurrence of each pair after time-limit rollbacks. It includes compact statistics for every committed group and detailed candidate/judge records plus pre/post images for stratified and contrast samples.
paper-few-shotscorruption-shot_noise
Corruption Dataset: Shot_Noise
Dataset Description
This dataset contains corrupted versions of ImageNet-1K images using shot_noise corruption. It is part of the ImageNet-C benchmark for evaluating model robustness to common image corruptions.
Dataset Structure
Train: 1,281,167 corrupted images
Validation: 50,000 corrupted images
Classes: 1000 ImageNet-1K classes
Format: Arrow (Hugging Face Datasets)
Corruption Type: Shot_Noise
Adds shot noise… See the full description on the dataset page: https://huggingface.co/datasets/MarMaster/corruption-shot_noise.ImageNet-C-shot_noise-severity_2ImageNet-C-shot_noise-severity_1xview-coco-crop-1024ImageNet-C-shot_noise-severity_4few-shot-universeViRFT_CLS_fgvc_aircraft_4_shotfew-shot-panda
Citation
@article{DBLP:journals/corr/abs-2101-04775,
author = {Bingchen Liu and
Yizhe Zhu and
Kunpeng Song and
Ahmed Elgammal},
title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot
Image Synthesis},
journal = {CoRR},
volume = {abs/2101.04775},
year = {2021},
url = {https://arxiv.org/abs/2101.04775},
eprinttype = {arXiv},
eprint = {2101.04775},
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-panda.few-shot-cat
Citation
@article{DBLP:journals/corr/abs-2101-04775,
author = {Bingchen Liu and
Yizhe Zhu and
Kunpeng Song and
Ahmed Elgammal},
title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot
Image Synthesis},
journal = {CoRR},
volume = {abs/2101.04775},
year = {2021},
url = {https://arxiv.org/abs/2101.04775},
eprinttype = {arXiv},
eprint = {2101.04775},
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-cat.few-shot-shells
Citation
@article{DBLP:journals/corr/abs-2101-04775,
author = {Bingchen Liu and
Yizhe Zhu and
Kunpeng Song and
Ahmed Elgammal},
title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot
Image Synthesis},
journal = {CoRR},
volume = {abs/2101.04775},
year = {2021},
url = {https://arxiv.org/abs/2101.04775},
eprinttype = {arXiv},
eprint = {2101.04775},
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-shells.Few-Shot-Class-Incremental-Learning