| --- |
| 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` | |
