---
license: mit
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: validation
    path: data/validation-*
dataset_info:
  features:
  - name: CommitHash
    dtype: string
  - name: NewPath
    dtype: string
  - name: Diff
    dtype: string
  - name: FaultInducingLabel
    dtype: int64
  splits:
  - name: train
    num_bytes: 116120391
    num_examples: 207464
  - name: test
    num_bytes: 38526893
    num_examples: 69155
  - name: validation
    num_bytes: 38411094
    num_examples: 69155
  download_size: 65354656
  dataset_size: 193058378
---

# Dataset Card for TechDebt

This dataset was generated from [The Technical Debt Dataset](https://github.com/clowee/The-Technical-Debt-Dataset) created by Lenarduzzi, et al. and the citation is down below.

## Dataset Details and Structure

The labels for the dataset were provided by the SZZ algorithm cited by the paper and matched to the diff in the commit where the technical debt was located. This diff was then cleaned to only include the lines of code added.


## Bias, Risks, and Limitations

Beware of the data imbalance if you would like to use the dataset. Also, the queries used to extract this data are still being checked over to ensure correctness.


## Recommendations

Changes are constantly being made to this dataset to make it better. Please be aware when you use it.

## References

Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi. The Technical Debt Dataset. Proceedings for the 15th Conference on Predictive Models and Data Analytics in Software Engineering. Brazil. 2019.