README.md

metadata

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