sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
6b05c2743fc76b45d45d44f3906714e129a37223a9eacea838a493ad5cdfa769 | TypeScript | 200,000 | 130 | #A UCI Archive dataset. See this link for more detailed information: https://archive.ics.uci.edu/ml/datasets/Japanese+Vowels
#Paper: M. Kudo, J. Toyama and M. Shimbo. (1999). "Multidimensional Curve Classification Using Passing-Through Regions". Pattern Recognition Letters, Vol. 20, No. 11--13, pages 1103--1111.
#
#
#9... |
8148ecf2ebe8bce8894c05ecee926ba25b9fcfc1bdade97939b3318ba705cf91 | TypeScript | 200,000 | 120 | #A UCI Archive dataset. See this link for more detailed information: https://archive.ics.uci.edu/ml/datasets/Japanese+Vowels
#Paper: M. Kudo, J. Toyama and M. Shimbo. (1999). "Multidimensional Curve Classification Using Passing-Through Regions". Pattern Recognition Letters, Vol. 20, No. 11--13, pages 1103--1111.
#
#
#9... |
99a3cf4550c53c0035d237e8b35a316998dc7a2780af941ef1a2174319d70bcb | TypeScript | 200,000 | 87 | #The arrowhead data consists of outlines of the images of
#arrowheads. The shapes of the projectile points are converted into
#a time series using the angle-based method. The classification of
#projectile points is is an <a
#href="http://alumni.cs.ucr.edu/~lexiangy/Shapelet/Proj_Point_Review.pdf">important
#topic in an... |
cea6845150fbf2a7ed034f79bd3afb48ef276e09554a4bbab371ad1f76ca4d7d | TypeScript | 200,000 | 138 | #This dataset involves one female actor and one male actor making a
#motion with their hand. The two classes are: Gun-Draw and Point:
#For Gun-Draw the actors have their hands by their sides. They draw
#a replicate gun from a hip-mounted holster, point it at a target
#for approximately one second, then return the gun t... |
e995e710659d4fc3e5743e043955d598805c939f9cffe1166b6f753620c9a9c8 | TypeScript | 200,000 | 57 | #The OSULeaf data set consist of one dimensional outlines of leaves.
#The series were obtained by color image segmentation and boundary
#extraction (in the anti-clockwise direction) from digitized leaf
#images of six classes: Acer Circinatum, Acer Glabrum, Acer
#Macrophyllum, Acer Negundo, Quercus Garryana and Quercus ... |
ee82ef36d7ddd52053893569262fa02da7572061f0a75a51388e715966480c58 | TypeScript | 200,000 | 764 | #The data was derived from twelve monthly electrical power demand
#time series from Italy and first used in the paper "Intelligent
#Icons: Integrating Lite-Weight Data Mining and Visualization into
#GUI Operating Systems". The classification task is to distinguish
#days from Oct to March (inclusive) from April to Septe... |
f9de21cd7d456f0293b4bd936dd579c7c32bdc077e8b71f6b45e662e1477e5ac | TypeScript | 200,000 | 49 | #The data was generated as part of a student project where four students performed four activities whilst wearing a smart watch.
#The watch collects 3D accelerometer and a 3D gyroscope It consists of four classes, which are walking, resting, running and
#badminton. Participants were required to record motion a total of... |
09bbc47a844d531be49a1f7eae862101e51dac641c5c7f11485e322f48732726 | TypeScript | 200,001 | 45 | ## ACSF1
#
#The dataset is compiled from ACS-F1, the first version of the database of appliance consumption signatures. The dataset contains the power consumption of typical appliances. The recordings are characterized by long idle periods and some high bursts of energy consumption when the appliance is active.
#
#The ... |
7f44316456db45721a539c13a2d36eae38204740b669145c0591f21c0eeb76ce | TypeScript | 200,001 | 45 | ## ACSF1
#
#The dataset is compiled from ACS-F1, the first version of the database of appliance consumption signatures. The dataset contains the power consumption of typical appliances. The recordings are characterized by long idle periods and some high bursts of energy consumption when the appliance is active.
#
#The ... |
5d63e0f454d86fae68c3cdf78d1dca678ca81250c85c5a32f921202b776e7d6a | TypeScript | 200,003 | 102 | ## PLAID dataset
#
#PLAID stands for the Plug Load Appliance Identification Dataset. The data are intended for load identification research. The first version of PLAID is named PLAID1, collected in summer 2013. A second version of PLAID was collected in winter 2014 and released under the name PLAID2.
#This dataset com... |
855bcab0b3cc97084aabe911404deecf8c00a226b8f169b4496470cf74f0ae19 | TypeScript | 200,003 | 92 | ## PLAID dataset
#
#PLAID stands for the Plug Load Appliance Identification Dataset. The data are intended for load identification research. The first version of PLAID is named PLAID1, collected in summer 2013. A second version of PLAID was collected in winter 2014 and released under the name PLAID2.
#This dataset co... |
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