Datasets:

Cleanlab
/

student-grades-demo

license: mit
task_categories:
  - tabular-classification
tags:
  - tabular
  - classification
  - student-grades
  - label-errors
  - noisy-labels
  - data-centric-ai

Student Grades Demo Dataset

This dataset contains student grades data with both true labels and noisy (corrupted) labels.

Dataset Description

The dataset includes:

Student exam scores (exam_1, exam_2, exam_3)
Notes field
True letter grades (letter_grade)
Noisy/corrupted letter grades (noisy_letter_grade)

This is useful for demonstrating and validating label error detection methods.

Usage

import pandas as pd

# Load the dataset
df = pd.read_csv("hf://datasets/Cleanlab/student-grades-demo/student-grades-demo.csv")
print(df.head())

# Find rows where labels were corrupted
import numpy as np
true_errors = np.where(df["letter_grade"] != df["noisy_letter_grade"])[0]
print(f"Number of label errors: {len(true_errors)}")

License

MIT License