Datasets:

pyofpython
/

debugtraj-50k

license: cc-by-4.0
task_categories:
  - text-classification
language:
  - en
tags:
  - code
  - debugging
  - behavioral-data
  - software-engineering
pretty_name: DebugTraj-50K
size_categories:
  - 100K<n<1M

DebugTraj-50K: Developer Debugging Trajectory Dataset

50,000 debugging sessions with 665,364 step-by-step behavioral events across 8 programming languages and 71 error types.

Load in one line

import pandas as pd
sessions = pd.read_csv("hf://datasets/pyofpython/debugtraj-50k/code_debugging_sessions_fixed.csv")
events   = pd.read_csv("hf://datasets/pyofpython/debugtraj-50k/code_debugging_events_fixed.csv")

What makes this unique

Most bug datasets only say "bug was fixed in 23 minutes." This dataset records every step taken during those 23 minutes — every compile, edit, search, test, and commit.

Files

File	Rows	Description
code_debugging_sessions_fixed.csv	50,000	Session features (38 columns)
code_debugging_events_fixed.csv	665,364	Event trajectories (9 columns)
DATA_DICTIONARY_updated.md	—	Full column documentation

Use cases

Predict debugging time from early session features
Classify whether a session will succeed or be abandoned
Next-action prediction for AI coding assistants
Study junior vs senior developer behavior patterns

Citation

@dataset{singh2026debugtraj,
  author    = {Abhishek Singh},
  title     = {DebugTraj-50K: Developer Debugging Trajectory Dataset},
  year      = {2026},
  publisher = {HuggingFace},
  url       = {https://huggingface.co/datasets/pyofpython/debugtraj-50k}
}