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24 dataset results for Tables

TAT-QA (Tabular And Textual dataset for Question Answering) is a large-scale QA dataset, aiming to stimulate progress of QA research over more complex and realistic tabular and textual data, especially those requiring numerical reasoning.

27 PAPERS • 1 BENCHMARK

GitTables

GitTables is a corpus of currently 1M relational tables extracted from CSV files in GitHub covering 96 topics. 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, table domain and descriptions.

6 PAPERS • NO BENCHMARKS YET

SinD (A Drone Dataset at Signalized Intersection in China)

The SIND dataset is based on 4K video captured by drones, providing information including traffic participant trajectories, traffic light status, and high-definition maps

4 PAPERS • 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.

3 PAPERS • 2 BENCHMARKS

M5Product

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

2 PAPERS • NO BENCHMARKS YET

Multivariate-Mobility-Paris

The original dataset was provided by Orange telecom in France, which contains anonymized and aggregated human mobility data. The Multivariate-Mobility-Paris dataset comprises information from 2020-08-24 to 2020-11-04 (72 days during the COVID-19 pandemic), with time granularity of 30 minutes and spatial granularity of 6 coarse regions in Paris, France. In other words, it represents a multivariate time series dataset.

2 PAPERS • 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.

2 PAPERS • NO BENCHMARKS YET

Acoustic Extinguisher Fire Dataset

Yavuz Selim TASPINAR, Murat KOKLU and Mustafa ALTIN

1 PAPER • NO BENCHMARKS YET

ArxivPapers

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

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

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

Replication Data for: Investigating the concentration of High Yield Investment Programs in the United Kingdom

The dataset provides information about 450 HYIPs collected between November 2020 and September 2021. This dataset was analyzed and the results are discussed in the paper.

1 PAPER • NO BENCHMARKS YET

SRSD-Feynman (Easy set)

Our SRSD (Feynman) datasets are designed to discuss the performance of Symbolic Regression for Scientific Discovery. We carefully reviewed the properties of each formula and its variables in the Feynman Symbolic Regression Database to design reasonably realistic sampling range of values so that our SRSD datasets can be used for evaluating the potential of SRSD such as whether or not an SR method con (re)discover physical laws from such datasets.

1 PAPER • NO BENCHMARKS YET

SRSD-Feynman (Hard set)

1 PAPER • NO BENCHMARKS YET

SRSD-Feynman (Medium set)

1 PAPER • NO BENCHMARKS YET

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

Water Footprint Recommender System Data

It contains data from two different realities: Food.com, a well-known American recipe site, and Planeat, an Italian site that allows you to plan recipes to save food waste. The dataset is divided into two parts: embeddings, which can be used directly to execute the work and receive suggestions, and raw data, which must first be processed into embeddings.

1 PAPER • NO BENCHMARKS YET

kaggle stroke Prediction competition

It is a competition on kaggle with stroke Prediction, which is heavily imbalanced.

1 PAPER • NO BENCHMARKS YET

washed_contract

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

1 PAPER • NO BENCHMARKS YET

wildFireClimateChangeTweets

Here I provided the datasets I used for this analysis. It includes the tweets I streamed using the Tweepy package on Python during the peach of the wildfire season in late summer/early fall of 2020.

1 PAPER • NO BENCHMARKS YET

Rice Dataset Commeo and Osmancik

ata Set Name: Rice Dataset (Commeo and Osmancik) Abstract: A total of 3810 rice grain's images were taken for the two species (Cammeo and Osmancik), processed and feature inferences were made. 7 morphological features were obtained for each grain of rice.

0 PAPER • NO BENCHMARKS YET

Datasets

24 dataset results for Tables