metadata

language:
  - en
tags:
  - student performance
  - tabular_classification
  - multiclass_classification
  - UCI
pretty_name: Diamond
size_categories:
  - 10K<n<100K
task_categories:
  - tabular-classification
configs:
  - encoding
  - cut
  - cut_binary
license: cc

Diamonds

The Diamonds dataset from Kaggle. Dataset collecting properties of cut diamonds to determine the cut quality.

Configurations and tasks

Configuration	Task	Description
encoding		Encoding dictionary showing original values of encoded features.
cut	Multiclass classification	Predict the cut quality of the diamond.
cut_binary	Binary classification	Is the cut quality at least very good?

Usage

from datasets import load_dataset

dataset = load_dataset("mstz/diamonds", "cut")["train"]

Features

Feature	Description
`carat`	`float32`
`color`	`string`
`clarity`	`float32`
`depth`	`float32`
`table`	`float32`
`price`	`float32`
`observation_point_on_axis_x`	`float32`
`observation_point_on_axis_y`	`float32`
`observation_point_on_axis_z`	`float32`
`cut`	`int8`