task_categories:tabular-classification size_categories:100K<n<1M language:en license:cc biology UCI binary_classification multiclass_classification region:us
@misc{misc_covertype_31,
  author       = {Blackard,Jock},
  title        = {{Covertype}},
  year         = {1998},
  howpublished = {UCI Machine Learning Repository},
  note         = {{DOI}: \\url{10.24432/C50K5N}}
}
---
task_categories:
- tabular-classification
language:
- en
tags:
- biology
- UCI
- binary_classification
- multiclass_classification
pretty_name: Covertype
size_categories:
- 100K<n<1M
license: cc
---
# Covertype
Classification of pixels into 7 forest cover types based on attributes such as elevation, aspect, slope, hillshade, soil-type, and more.
The [Covertype dataset](https://archive-beta.ics.uci.edu/dataset/31/covertype) from the [UCI ML repository](https://archive-beta.ics.uci.edu).

| **Configuration** | **Task**                  | **Description**                                                 |
|-------------------|---------------------------|-----------------------------------------------------------------|
| covertype         | Multiclass classification | Classify the area as one of 7 cover classes.                    |

# Usage
```python
from datasets import load_dataset

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