Artificial Intelligence

Gorakhpur is a city located in the north-eastern region of

Uttar Pradesh state of India. It is a sub-part of Purvanchal

region of Uttar Pradesh and Bihar. In the south-western

part, Gorakhpur periphery spreads along Rapti river. In

the north-western region, Gorakhpur shares its periphery

with Chillua Tal. In the southern part, Ramgarh Tal with a

perimeter of 18 km is located.

Water Bodies:

+ Ramgarh Tal is a historically important heritage site and

is also a tourist attraction; spread over 700 hectares of

India is a sub-continent that stretches from Ladakh in

the North to Kanyakumari in the South and from

Gujrat in the West to Arunachal Pradesh, Nagaland

and Manipur in the East. India is currently the

seventh largest country by land covering an area of

approximately 32,87,263 kms.

India's Space Strengths:

India is the fourth country in the world to have

destroyed a satellite of its own. India built the

record-breaking space capability of launching 104

satellites on a single Polar Satellite Launch Vehicle

This bearing datasets has high data quality and obvious fault characteristics, so it is a commonly used bearing fault diagnosis standard dataset. In this datasets, three unbalanced datasets under different loads are constructed to testify the recognition effect of the proposed method. The test bench is composed of 2HP (1.5KW) induction motor, fan end bearing, driver end bearing, torque translator and load motor. By using EDM technology, single point faults with different depths were machined on the inner race, outer race and rolling element of the test bearing.

The dataset referenced herein pertains to the robust framework we introduced in our scholarly article titled, "A Graph-Neural-Network-Powered Solver Framework for Graph Optimization Problems." This comprehensive dataset is categorized into three segments: training data, verification data, and test data. Each dataset plays an integral role in the functionality and optimization of the proposed framework. The training data aids in formulating the GNN model, the verification data is used for fine-tuning the model, and the test data assesses the model's performance in test scenarios.

Each data instance consists of a paragraph (context), a question, and 4 candidate answers. The goal of each system is to determine the most plausible answer to the question by reading the paragraph.

## Expected Output to Leaderboard
If you intend to submit to the leaderboard [here](https://leaderboard.allenai.org/cosmosqa/submissions/get-started), please follow the data format described on the that page. The prediction file should contain one label per line.

Tuberculosis (TB) remains a major global health problem with high incidence and mortality rates worldwide. In recent years, with the rapid development of computer-aided diagnosis (CAD) tools, CAD has played an increasingly important role in supporting tuberculosis diagnosis. However, the development of CAD for TB diagnosis relies heavily on well-annotated computerized tomography (CT) datasets. Unfortunately, the currently available annotations in TB CT datasets are still limited, which hinders the development of CAD tools for TB diagnosis to some extent.

Tuberculosis (TB) remains a major global health problem with high incidence and mortality rates worldwide. In recent years, with the rapid development of computer-aided diagnosis (CAD) tools, CAD has played an increasingly important role in supporting tuberculosis diagnosis. However, the development of CAD for TB diagnosis relies heavily on well-annotated computerized tomography (CT) datasets. Unfortunately, the currently available annotations in TB CT datasets are still limited, which hinders the development of CAD tools for TB diagnosis to some extent.

This is an indoor environment data set collected from our research team's laboratory, and the data is collected from the Intel RealSense D435i camera. There are a total of 12 datasets, each in the format of a `.bag` file in ROS packet format. Each file contains RGB images and IMU data.

The description of the proposed glomerulus segmentation dataset is as follows: The dataset contains 200 WSI (H&E, PAS, MAS, PASM) images provided by Peking University Shenzhen Hospital and manually labeled by pathologists. The slides of the dataset are basically similar in tissue structure but not pix-level paired. The magnification of the slides is 40×, and the resolution is 0.2528μm/pixel.

The project research team successfully established China's first Inertial Motion Tracking Dataset (IMTD), which can be widely used for artificial intelligence model training in fields such as satellite-free navigation, unmanned driving, and wearable devices. Based on the IMTD dataset, the motion tracking method proposed by Wang Yifeng, Zhao Yi, and others breaks through the limitations of traditional motion tracking and positioning technologies such as inertia, optics, GPS, and carrier phase.