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