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---
dataset_info:
features:
- name: X
sequence: float64
- name: y
sequence: float64
splits:
- name: train
num_bytes: 16080000
num_examples: 10000
- name: test
num_bytes: 1608000
num_examples: 1000
download_size: 22295560
dataset_size: 17688000
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Random Function Dataset
## Dataset Summary
The Random Function dataset is a collection of random functions. The dataset is
generated using Gaussian random fields.
Plot from the dataset:
## Dataset Structure
The dataset is structured as follows.
### Subsets
The dataset has one subset:
- `default`: the default dataset.
### 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.
- `y`: the value of the function f at X.
### Data
The dataset contains the following data:
| Column | Shape | Type |
|---------|---------|---------|
| X | (100,) | float |
| y | (100,) | float |
|