12 dataset results for Tables

The ArxivPapers dataset is an unlabelled collection of over 104K papers related to machine learning and published on arXiv.org between 2007–2020. The dataset includes around 94K papers (for which LaTeX source code is available) in a structured form in which paper is split into a title, abstract, sections, paragraphs and references. Additionally, the dataset contains over 277K tables extracted from the LaTeX papers.

1 PAPER • NO BENCHMARKS YET

DBFC Dataset (Single Direct Borohydride Fuel Cell Dataset)

This dataset includes Direct Borohydride Fuel Cell (DBFC) impedance and polarization test in anode with Pd/C, Pt/C and Pd decorated Ni–Co/rGO catalysts. In fact, different concentration of Sodium Borohydride (SBH), applied voltages and various anode catalysts loading with explanation of experimental details of electrochemical analysis are considered in data. Voltage, power density and resistance of DBFC change as a function of weight percent of SBH (%), applied voltage and amount of anode catalyst loading that are evaluated by polarization and impedance curves with using appropriate equivalent circuit of fuel cell. Can be stated that interpretation of electrochemical behavior changes by the data of related cell is inevitable, which can be useful in simulation, power source investigation and depth analysis in DB fuel cell researches.

1 PAPER • NO BENCHMARKS YET

Deep Sea Treasure Pareto-Front

The dataset contains two Pareto-fronts: - The Pareto-front for the 2-objective problem - The Pareto-front for the 3-objective problem

1 PAPER • NO BENCHMARKS YET

GitTables

GitTables is a corpus of currently 1.7M relational tables extracted from CSV files in GitHub. Table columns in GitTables have been annotated with more than 2K different semantic types from Schema.org and DBpedia. The column annotations consist of semantic types, hierarchical relations, range types and descriptions.

1 PAPER • NO BENCHMARKS YET

Industrial Benchmark Dataset for Customer Escalation Prediction

This is a real-world industrial benchmark dataset from a major medical device manufacturer for the prediction of customer escalations. The dataset contains features derived from IoT (machine log) and enterprise data including labels for escalation from a fleet of thousands of customers of high-end medical devices.

1 PAPER • NO BENCHMARKS YET

M5Product

The M5Product dataset is a large-scale multi-modal pre-training dataset with coarse and fine-grained annotations for E-products.

1 PAPER • NO BENCHMARKS YET

Nelson-Plosser

Nelson-Plosser (Nelson-Plosser US Macroeconomic Time Series)

US Macroeconomic dataset containing 14 time series of monthly observations. They have various lengths but all end in 1988. The variables: consumer price index, industrial production, nominal GNP, velocity, employment, interest rate, nominal wages, GNP deflator, money stock, real GNP, stock prices (S&P500), GNP per capita, real wages, unemployment.

1 PAPER • NO BENCHMARKS YET

PEM Fuel Cell Dataset (Proton Exchange Membrane (PEM) Fuel Cell Dataset)

This dataset are about Nafion 112 membrane standard tests and MEA activation tests of PEM fuel cell in various operation condition. Dataset include two general electrochemical analysis method, Polarization and Impedance curves. In this dataset, effect of different pressure of H2/O2 gas, different voltages and various humidity conditions in several steps are considered. Behavior of PEM fuel cell during distinct operation condition tests, activation procedure and different operation condition before and after activation analysis can be concluded from data. In Polarization curves, voltage and power density change as a function of flows of H2/O2 and relative humidity. Resistance of the used equivalent circuit of fuel cell can be calculated from Impedance data. Thus, experimental response of the cell is obvious in the presented data, which is useful in depth analysis, simulation and material performance investigation in PEM fuel cell researches.

1 PAPER • NO BENCHMARKS YET

SKAB (Skoltech Anomaly Benchmark)

SKAB is designed for evaluating algorithms for anomaly detection. The benchmark currently includes 30+ datasets plus Python modules for algorithms’ evaluation. Each dataset represents a multivariate time series collected from the sensors installed on the testbed. All instances are labeled for evaluating the results of solving outlier detection and changepoint detection problems.

1 PAPER • 1 BENCHMARK

SegmentedTables

The SegmentedTables dataset is a collection of almost 2,000 tables extracted from 352 machine learning papers. Each table consists of rich text content, layout and caption. Tables are annotated with types (leaderboard, ablation, irrelevant) and cells of relevant tables are annotated with semantic roles (such as “paper model”, “competing model”, “dataset”, “metric”).

1 PAPER • NO BENCHMARKS YET

eICU-CRD (eICU Collaborative Research Database)

The eICU Collaborative Research Database is a large multi-center critical care database made available by Philips Healthcare in partnership with the MIT Laboratory for Computational Physiology.

1 PAPER • NO BENCHMARKS YET

washed_contract

Dataset contains about 48K contracts which are open source on Etherscan.

1 PAPER • NO BENCHMARKS YET

Datasets

12 dataset results for Tables