datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vsr_zeroshot
VSR: Visual Spatial Reasoning
This is the zero-shot set of VSR: Visual Spatial Reasoning (TACL 2023) [paper].
Usage
from datasets import load_dataset
data_files = {"train": "train.jsonl", "dev": "dev.jsonl", "test": "test.jsonl"}
dataset = load_dataset("cambridgeltl/vsr_zeroshot", data_files=data_files)
Note that the image files still need to be downloaded separately. See data/ for details.
Go to our github repo for more introductions.
Citation
If you find… See the full description on the dataset page: https://huggingface.co/datasets/cambridgeltl/vsr_zeroshot.autoui-zeroshot-trajectoriesmolmoact2-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.vsr_zeroshot_with_questionsDishes-Image-Zeroshot-IndianStyleMerged using https://huggingface.co/spaces/prithivMLmods/Parquet-PIL
⚠️The images included in these datasets are intended solely for educational purposes. They are used to facilitate learning, research, and development in various educational and academic contexts. All images are sourced with the understanding that their use aligns with fair use principles and the educational objectives of this project.
deepvision-zero-shot-20kwikiart-zero-shot
Dataset Card for Wikiart Zero Shot Queries
Wikiart Zero Shot Queries is a tiny slice of the wikiart dataset with added zero shot queries, which can be used to qualitatively test inference of zero shot object detection models such as Grounding Dino.
Dataset Creation
This dataset contains the first 1k entries of the wikiart dataset, with added zero shot queries. The queries were obtained using LLaVA-NeXT with the vicuna-13b backbone (weights), and the following prompt:… See the full description on the dataset page: https://huggingface.co/datasets/yonigozlan/wikiart-zero-shot.zeroshotclassificationroad-damage-zero-shoteval_results_pi05_perturb_qwen_zeroshot_ablation_seed200k_buggy_uuid_filterUniVG-R1-zeroshotZero-Shot-Classification-LLaVA-HardVSR_zeroshot_train_extendedclef_fungi_dtd_for_zero-shotclef_fungi_dtd_for_zero-shot -это датасет для задачи Zero-shot классификации изображений. Он включает изображения из доменов: CUB_200_2011, DTD, FungiCLEF_2022. Каждое изображение снабжено меткой класса.
Особенности
Домен(ы): CUB_200_2011, DTD, FungiCLEF_2022
Количество изображений: 56902
Количество классов: 200 + 47 + 1604
Формат данных: PNG/JPG, CSV-таблица с метками
Тип задачи: Zero-shot классификации изображений
Пример использования
from datasets import load_dataset… See the full description on the dataset page: https://huggingface.co/datasets/ShadowCatLul/clef_fungi_dtd_for_zero-shot.Inference_outputs_zeroshot_imageMangaliCa_Zero_Shot_Image_ClassificationVSR_zeroshot