German Student Responses to Probability Theory and Statistics Bachelor Course (WuS24): Evaluated with Rubrics

Description:

This dataset contains questions and answers from an introductory computer science bachelor course on statistics and probability theory at Hochschule Bonn-Rhein-Sieg. The dataset includes three questions and a total of 90 answers, each evaluated using binary rubrics (yes/no) associated with specific scores.

Dataset Components:

questions.csv: Contains the details of the three questions.

Columns:

question_id: Unique identifier for each question

question: The text of the question

solution: The reference answer for the question

max_score: The maximum score for this question

rubrics.csv: Contains the grading rubrics for each question.

Columns:

question_id: Unique identifier for each question

rubric_id: Unique identifier for each rubric within a question

rubric: The rubric phrased as a question

score: The score associated with fulfilling the rubric

answers.csv: Contains 90 student answers to the questions.

Columns:

answer_id: Unique identifier for each answer

question_id: Unique identifier of the question that is answered

answer: The text of the student's answer

score: The score associated with fulfilling the rubric

answer_rubrics.csv: Contains the evaluations of rubrics for each answer.

Columns:

answer_id: The identifier of the answer.

question_id: The identifier of the question.

rubric_id: The identifier of the rubric for that question.

label: Indicates if the rubric crierion is fulfilled for the specific answer (true / false).

Working with the Dataset:

The easiest way to work with this dataset is using the class `RubricsDataset` defined in the file `dataloader.py`.

Example:

from dataloader import RubricsDatasetdataset = RubricsDataset.from_directory("data")
dataset.get_question(1) # Get a dictionary containing info about the first question, including rubrics
dataset.get_answers(1) # Get all the answers for the first question as a list. Each answer is a dictionary with answer, score, rubrics.