metadata

dataset_info:
  features:
    - name: X
      sequence: float32
    - name: coefficients
      sequence: float32
    - name: 'y'
      sequence: float32
  splits:
    - name: train
      num_bytes: 8280000
      num_examples: 10000
    - name: test
      num_bytes: 828000
      num_examples: 1000
  download_size: 13710543
  dataset_size: 9108000
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*

Polynomial Dataset

Dataset Summary

The Polynomial dataset is a collection of polynomial functions.

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.
coefficients: the coefficients of the polynomial function f.

Data

The dataset contains the following data:

Column	Shape	Type	Range
X	(100,)	float
y	(100,)	float
coefficients	(3,)	float	[-1, 1]