Datasets:
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
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 |
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