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---
task_categories:
- text-generation
- text-classification
language:
- en
tags:
- code
size_categories:
- 100K<n<1M
configs:
- config_name: assessment
data_files:
- split: 2024_first
path: data/2024_1/assessment*.csv
- split: 2023_second
path: data/2023_2/assessment*.csv
- split: 2023_first
path: data/2023_1/assessment*.csv
- split: 2022_second
path: data/2022_2/assessment*.csv
- split: 2022_first
path: data/2022_1/assessment*.csv
default: true
- config_name: execution
data_files:
- split: 2024_first
path: data/2024_1/execution*.csv
- split: 2023_second
path: data/2023_2/execution*.csv
- split: 2023_first
path: data/2023_1/execution*.csv
- split: 2022_second
path: data/2022_2/execution*.csv
- split: 2022_first
path: data/2022_1/execution*.csv
- config_name: grade
data_files:
- split: 2024_first
path: data/2024_1/grade*.csv
- split: 2023_second
path: data/2023_2/grade*.csv
- split: 2023_first
path: data/2023_1/grade*.csv
- split: 2022_second
path: data/2022_2/grade*.csv
- split: 2022_first
path: data/2022_1/grade*.csv
---
# CodeBench dataset
## Dataset description
[CodeBench](http://codebench.icomp.ufam.edu.br) is a Programming Online Judge developed by the Institute of Computing (IComp) of the Federal University of Amazonas, Brazil. Through Codebench, teachers can provide lists of programming exercises to their students, who in turn must develop solutions for each exercise through an embedded IDE. Once a student submits a source code for a given exercise, the system instantly notifies the student whether him/her solution is correct or not.
The CodeBench automatically logs all actions performed by students on embedded IDE during their attempts to solve the proposed exercises. This dataset contains all logs collected from CS1 students during 2016 to 2021.
## Dataset structure
Three types of data are available:
* Assessment data: information about exercises solved by students. The course is divided into offerings, each comprised of different assessment modules, each of those modules comprising various homeworks exercises. There are also exam exercises.
* Execution data: students code writting process.
* Grade data: students overall grade for each assessment module as well as their final grade in that course offering.
## Citations
```
@article{Coelho2023RBIE_CodeBench,
author = {Fl{\'a}vio Jos{\'e} Mendes Coelho and Elaine H. T. Oliveira and Filipe D. Pereira and David B. F. Oliveira and Leandro S. G. Carvalho and Eduardo James Pereira Souto and Marcela Pessoa and Rafaela Melo and Marcos A. P. de Lima and Fabiola G. Nakamura},
title = {Learning Analytics em Cursos de Introdu{\c c}\~{a}o {\`a} Programa{\c c}\~{a}o: Uma Mostra da Universidade Federal do Amazonas},
journal = {Revista Brasileira de Inform{\'a}tica na Educa{\c c}\~{a}o},
volume = {31},
pages = {1089--1127},
year = {2023},
doi = {10.5753/rbie.2023.3334},
url = {https://doi.org/10.5753/rbie.2023.3334}
}
``` |