Omkar2118/datasets huggingface dataset:
LLCM
Full name: Low-Light Cross-Modality Person Dataset

LLCM (Low-Light Cross-Modality) dataset is constructed to facilitate the study of low-light cross-modality person Re-ID task. It contains 46,767 person images of 1,064 identities, and each identity is captured by at least one RGB camera and one IR camera. The LLCM dataset is divided into a training set and a testing set at a ratio about 2:1. The training set contains 30,921 bounding boxes of 713 identities (16,946 bounding boxes are from the VIS modality and 13,975 bounding boxes are from the IR modality), and the testing set contains 13,909 bounding boxes of 351 identities (8,680 bounding boxes are from the VIS modality and 7,166 bounding boxes are from the IR modality).

Introducing paper: Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
PGDataset
Full name: Profile Generation Dataset

PGDataset (Profile Generation Dataset) is a dataset created for the PGTask (Profile Generation Task), where the goal is to extract/generate a profile sentence given a dialogue utterance.

Introducing paper: PGTask: Introducing the Task of Profile Generation from Dialogues
RADIOML 2018.01A

**RADIOML 2018.01A** is a  dataset which includes both synthetic simulated channel effects of 24 digital and analog modulation types which has been validated.