# Diamonds
The [Diamonds dataset](https://www.kaggle.com/datasets/ulrikthygepedersen/diamonds) 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
```python
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`        |
task_categories:tabular-classification size_categories:10K<n<100K language:en license:cc student performance tabular_classification multiclass_classification UCI region:us
{"language": ["en"], "license": "cc", "size_categories": ["10K<n<100K"], "task_categories": ["tabular-classification"], "pretty_name": "Diamond", "tags": ["student performance", "tabular_classification", "multiclass_classification", "UCI"], "configs": ["encoding", "cut", "cut_binary"]}
TAGS
#task_categories-tabular-classification #size_categories-10K<n<100K #language-English #license-cc #student performance #tabular_classification #multiclass_classification #UCI #region-us 

Diamonds
========


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


Configurations and tasks
========================


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


Usage
=====


Features
========




TAGS
#task_categories-tabular-classification #size_categories-10K<n<100K #language-English #license-cc #student performance #tabular_classification #multiclass_classification #UCI #region-us 

passage: TAGS
#task_categories-tabular-classification #size_categories-10K<n<100K #language-English #license-cc #student performance #tabular_classification #multiclass_classification #UCI #region-us 
