---
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](https://archive-beta.ics.uci.edu/dataset/42/glass+identification) from the [UCI repository](https://archive-beta.ics.uci.edu).
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
```python
from datasets import load_dataset

dataset = load_dataset("mstz/glass", "glass")["train"]
```