metadata
configs:
- config_name: vehicles
data_files:
- path: vehicles/train.csv
split: train
default: true
- config_name: glass
data_files:
- path: glass/train.csv
split: train
default: false
- config_name: windows
data_files:
- path: windows/train.csv
split: train
default: false
- config_name: containers
data_files:
- path: containers/train.csv
split: train
default: false
- config_name: tableware
data_files:
- path: tableware/train.csv
split: train
default: false
- config_name: headlamps
data_files:
- path: headlamps/train.csv
split: train
default: false
language: en
license: cc
pretty_name: Glass
size_categories: 1M<n<10M
tags:
- tabular_classification
- binary_classification
- multiclass_classification
task_categories:
- tabular-classification
Glass
The Glass dataset from the UCI repository. Classify the type of glass.
Configurations and tasks
| Configuration | Task | Description |
|---|---|---|
| glass | Multiclass classification | Classify glass type. |
| windows | Binary classification | Is this windows glass? |
| vehicles | Binary classification | Is this vehicles glass? |
| containers | Binary classification | Is this containers glass? |
| tableware | Binary classification | Is this tableware glass? |
| headlamps | Binary classification | Is this headlamps glass? |
Usage
from datasets import load_dataset
dataset = load_dataset("mstz/glass", "glass")["train"]