Datasets:

mstz
/

student_performance

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 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

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`