datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MMS-VPR
MMS-VPR: A Fine-Grained Multimodal Street-Level Visual Place Recognition Dataset and Evaluation Benchmark for Dense Pedestrian Environments
Overview
MMS-VPR is the first large-scale multimodal street-level visual place recognition dataset featuring comprehensive integration of images, videos, and rich textual annotations with day–night coverage and a 7-year temporal span in dense pedestrian-only environments.
MMS-VPR comprises 110,529 images and 2,527 video clips… See the full description on the dataset page: https://huggingface.co/datasets/Yiwei-Ou/MMS-VPR.MMSD2.0
MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System
This is a copy of the dataset uploaded on Hugging Face for easy access. The original data comes from this work, which is an improvement upon a previous study.
Usage
from typing import TypedDict, cast
import pytorch_lightning as pl
from datasets import Dataset, load_dataset
from torch import Tensor
from torch.utils.data import DataLoader
from transformers import CLIPProcessor
class… See the full description on the dataset page: https://huggingface.co/datasets/coderchen01/MMSD2.0.