Omkar2118/datasets huggingface dataset:
DroneRGBT
Full name: DroneRGBT

人群计数旨在识别物体的数量，在智能交通、城市管理和安全监控中发挥着重要作用。由于比例变化、照明变化、遮挡和较差的成像条件，尤其是在夜间和雾霾条件下，人群计数的任务非常具有挑战性。 在本文中，我们提出了一个基于无人机的 RGB-Thermal 人群计数数据集 （DroneRGBT），该数据集由 3600 对图像组成，涵盖不同的属性，包括高度、照明和密度。为了利用可见光和热红外模态中的互补信息，我们提出了一种具有多尺度特征学习模块、模态对齐模块和自适应融合模块的多模态人群计数网络 （MMCCN）。在 DroneRGBT 上的实验证明了所提出的方法的有效性。
Politi Hop

ataset format
Each row in the dataset splits represents one instance and contains the following tab-separated columns:

article_id - article id corresponding to the id of the claim in the LIAR dataset
statement - the text of the claim
author - the author of the claim
ruling - a comma-separated list of the sentences in the Politifact ruling report (this excludes sentences from the summary in the end)
url_sentences - a comma-separated list of ids of the sentences with a corresponding source url(s)
relevant_text_url_sentences - a comma-separated list of ids of the sentences with a corresponding source url(s) that are actually relevant to the selected evidence sentences
politifact_label - label assigned to the claim by PolitiFact fact-checkiers
annotated_evidence - a json dict of the evidence chains (keys) and the sentences that belong to the chain (value, which is a list of sentence ids from the ruling)
annotated_label - label annotated by annotators of PolitiFact - True, False, Half-True
urls - a comma-separated list of source urls used in the corresponding PolitiFact article
annotated_urls - a json dict mapping sentence ids to the corresponding urls ids. One sentence can have multiple urls

Introducing paper: Multi-Hop Fact Checking of Political Claims
HARDMath2

We introduce a challenging benchmark of graduate-level problems in applied mathematics that was fully developed as part of a university class.

Problems include boundary-layer analysis, WKB methods, asymptotic solutions of nonlinear partial differential equations, and the asymptotics of oscillatory integrals.

Introducing paper: HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class