---
configs:
- config_name: math
  data_files:
  - path: math/train.csv
    split: train
  default: true
- config_name: reading
  data_files:
  - path: reading/train.csv
    split: train
  default: false
- config_name: writing
  data_files:
  - path: writing/train.csv
    split: train
  default: false
language: en
license: cc
pretty_name: Student performance
size_categories: 1M<n<10M
tags:
- tabular_classification
- binary_classification
- multiclass_classification
task_categories:
- tabular-classification
---
# Student performance
The [Student performance dataset](https://www.kaggle.com/datasets/ulrikthygepedersen/student_performances) from Kaggle.

| **Configuration** | **Task**                  | **Description**                                                 |
|-------------------|---------------------------|-----------------------------------------------------------------|
| encoding          |                           | Encoding dictionary showing original values of encoded features.|
| math              | Binary classification     | Has the student passed the math exam?                           |
| writing           | Binary classification     | Has the student passed the writing exam?                        |
| reading           | Binary classification     | Has the student passed the reading exam?                        |

# Usage
```python
from datasets import load_dataset

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

# Features
|**Feature**                        |**Type**   |
|-----------------------------------|-----------|
|`is_male`                          |`bool`     |
|`ethnicity`                        |`string`   |
|`parental_level_of_education`      |`int8`     |
|`has_standard_lunch`               |`bool`     |
|`has_completed_preparation_test`   |`bool`     |
|`reading_score`                    |`int64`    |
|`writing_score`                    |`int64`    |
|`math_score`                       |`int64`    |