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This dataset integrates financial and macroeconomic indicators to support research on stock price prediction and financial forecasting. It includes daily stock data for Malayan Banking Berhad (MBB) (1155.KL) sourced from Yahoo Finance, alongside macroeconomic indicators such as GDP (constant 2015 MYR), GDP growth (YoY %), inflation rate (%), and the Overnight Policy Rate (OPR). The data spans a 20-year period from July 1, 2004, to August 1, 2024, and has been standardized to a daily frequency.

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The charging load dataset are collected by a smart energy measurement system over a one-year period, with data recorded hourly from six Electric Vehicle Charging Stations (EVCSs) located in the city center of China. The data provides a full annual cycle of charging behaviors. The charging stations, labeled EVCS1 through EVCS6, have their loads reported in kilowatts (kW), with values recorded to four decimal places, ensuring high precision.

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The rapid development of electric vehicles has significantly increased the demand for efficient and reliable charging infrastructure, making the analysis of charging load data essential for urban energy planning. A dataset has been compiled from charging load data collected by a smart energy measurement system deployed in a city center of China. The data covers a one-year period, recorded at hourly intervals, and includes measurements from six electric vehicle charging stations (EVCSs), designated EVCS1 to EVCS6, each characterized by distinct charging power capabilities.

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This collection includes multiple short text classification datasets designed for various natural language processing tasks. It contains several topic classification datasets, such as AG'News, Snippets, and TMNNews, which cover a wide range of topics and domains to evaluate the effectiveness of classification models. Additionally, the collection includes a binary sentiment classification dataset, such as Twitter, aimed at determining positive or negative sentiment in text.

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This is a pump fillage time series data set, consisting of 8 time series. The data is sourced from actual production data during the operational process of an oil field. It includes data from 8 oil wells, with measurements collected every half hour between July 22, 2022, and August 16, 2022. The pump fillage is extracted from the operational process of an oil field. The pump fillage data for each well is sorted in chronological order to obtain the pump fillage time series for each well. The data set had varying numbers of cards due to potential communication issues, rangin

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16 Views

A key challenge in cybersecurity is the absence of a large-scale network dataset that accurately captures modern traffic patterns, diverse intrusion types, and comprehensive network activity. Existing benchmark datasets such as KDDCup99, NSL-KDD, GureKDD, and UNSW-NB15 require updates to reflect contemporary cyberattack signatures effectively.

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124 Views

The JU-Impact Radiomap Dataset is a comprehensive dataset designed for research and development in indoor positioning systems. It comprises 5431 instances characterized by readings from 105 static Wi-Fi Access Points (APs) and spans 152 distinct virtual grids. Each virtual grid represents a 1x1 square meter area, derived by dividing a physical floor of a university building into reference coordinate points (x, y). The dataset was collected over a period of 21 days using four mobile devices: Samsung Galaxy Tab, Moto G, Redmi Note 4, and Google Pixel.

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108 Views

CodePromptEval is a dataset of 7072 prompts designed to evaluate five prompt techniques (few-shot, persona, chain-of-thought, function signature, list of packages) and their effect on the correctness, similarity, and quality of complete functions generated. Each data point in the dataset includes a function generation task, a combination of prompt techniques to be applied, the prompt in natural language that applied the prompt techniques, the ground truth of the functions (human-written functions based on CoderEval dataset by Yu et al.), the tests to evaluate the correctness of the generate

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All the healthcare facilites in this dataset were collected from the MOH 2018 list of Uganda healthcare facilites (https://library.health.go.ug/sites/default/files/resources/National%20Health%20Facility%20MasterLlist%202017.pdf) Additional features were scraped using the Google Maps API and additionally from some of the websites of the healthcare facilities themselves.

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This dataset contains simulated and real-world experimental data associated with the paper “Comprehensive Analysis of Optimization-Based Obstacle Avoidance for Agricultural Robotics in Greenhouse Environments.” The dataset from the simulated environment comprises multiple CSV files generated from the Gazebo simulation of a differential robot, the Stretch Robot. These files document the robot's movement, capturing data from the Gazebo model topic.

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