README.md

---
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:

![Random Function Dataset](plot.png)

## 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   |