Datasets:

mstz
/

student_performance

feature stringclasses 4 values	original_value stringclasses 12 values	encoded_value int64 0 5
sex	female	0
sex	male	1
parental_level_of_education	some high school	0
parental_level_of_education	high school	1
parental_level_of_education	some college	2
parental_level_of_education	bachelor's degree	3
parental_level_of_education	master's degree	4
parental_level_of_education	associate's degree	5
has_standard_lunch	free/reduced	0
has_standard_lunch	standard	1
has_completed_preparation_test	none	0
has_completed_preparation_test	completed	1

YAML Metadata Error: "configs[0]" must be of type object

YAML Metadata Error: "configs[1]" must be of type object

YAML Metadata Error: "configs[2]" must be of type object

YAML Metadata Error: "configs[3]" must be of type object

Student performance

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?

from datasets import load_dataset

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

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`