Search is not available for this dataset
Tf
sequencelengths 100
100
| X
sequencelengths 100
100
| Y
sequencelengths 100
100
| f
sequencelengths 100
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|
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Antiderivative Dataset
Dataset Summary
The Antiderivative dataset is a collection of functions and their antiderivatives. The dataset is generated using Gaussian random functions and their antiderivatives.
Plot from the dataset:
Dataset Structure
The dataset is structured as follows.
Subsets
The dataset is divided into two subsets:
default: the default dataset.aligned: theXvalues are aligned for all functions.
Splits
The dataset is divided into two splits:
train: the training split, consisting of 10,000 rows.test: the test split, consisting of 1,000 rows.
Columns
Each row in the dataset consists of the following columns:
X: the input value of the function f.f: the value of the function f at X.Y: the input value of the antiderivative Tf.Tf: the value of the antiderivative Tf at Y.
Data
The dataset contains the following data:
| Column | Shape | Type |
|---|---|---|
| X | (100,) | float |
| f | (100,) | float |
| Y | (100,) | float |
| Tf | (100,) | float |
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