Omkar2118/datasets huggingface dataset:
CrossNER

CrossNER is a cross-domain NER (Named Entity Recognition) dataset, a fully-labeled collection of NER data spanning over five diverse domains (Politics, Natural Science, Music, Literature, and Artificial Intelligence) with specialized entity categories for different domains. Additionally, CrossNER also includes unlabeled domain-related corpora for the corresponding five domains. 

Source: [CrossNER](https://github.com/zliucr/CrossNER)

Introducing paper: CrossNER: Evaluating Cross-Domain Named Entity Recognition
11k Hands

A large dataset of human hand images (dorsal and palmar sides) with detailed ground-truth information for gender recognition and biometric identification.

Source: [11K Hands: Gender recognition and biometric identification using a large dataset of hand images](/paper/11k-hands-gender-recognition-and-biometric)

Introducing paper: 11K Hands: Gender recognition and biometric identification using a large dataset of hand images
2-PM Vessel Dataset

2-PM Vessel is an open-source volumetric brain vasculature dataset obtained with two-photon microscopy at Focused Ultrasound Lab, at Sunnybrook Research Institute (affiliated with University of Toronto by Dr. Alison Burgess, Charissa Poon and Marc Santos. The dataset contains a total of 12 volumetric stacks consisting of images of mouse brain vasculature and tumour vasculature.

Source: [https://github.com/petteriTeikari/vesselNN_dataset](https://github.com/petteriTeikari/vesselNN_dataset)
Image Source: [Teikari et al](https://arxiv.org/pdf/1606.02382v1.pdf)

Introducing paper: Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation
Placepedia
Full name: Placepedia

**Placepedia** contains 240K places with 35M images from all over the world. Each place is associated with its district, city/town/village, state/province, country, continent, and a large amount of diverse photos. Both administrative areas and places have rich side information, e.g. discription, population, category, function. In addition, two cleaned subsets (Places-Coarse and Places-Fine) for experiments are provided.

Introducing paper: Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations
2WikiMultiHopQA

Uses structured and unstructured data. The dataset introduces the evidence information containing a reasoning path for multi-hop questions.

Source: [Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps](/paper/constructing-a-multi-hop-qa-dataset-for)

Introducing paper: Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
30MQA
Full name: 30M Factoid Question-Answer Corpus

An enormous question answer pair corpus produced by applying a novel neural network architecture on the knowledge base Freebase to transduce facts into natural language questions.

Source: [Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus](/paper/generating-factoid-questions-with-recurrent)

Introducing paper: Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
360-SOD

360-SOD contains 500 high-resolution equirectangular images.

Source: [Distortion-adaptive Salient Object Detection in 360$^\circ$ Omnidirectional Images](/paper/distortion-adaptive-salient-object-detection)
Image Source: [http://cvteam.net/projects/JSTSP20_DDS/DDS.html](http://cvteam.net/projects/JSTSP20_DDS/DDS.html)

Introducing paper: Distortion-adaptive Salient Object Detection in 360$^\circ$ Omnidirectional Images
3D60

Collects high quality 360 datasets with ground truth depth annotations, by re-using recently released large scale 3D datasets and re-purposing them to 360 via rendering. 

Source: [OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas](/paper/omnidepth-dense-depth-estimation-for-indoors)

Introducing paper: OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas