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] |