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license: cc-by-4.0
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---
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---
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license: cc-by-4.0
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task_categories:
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- text-classification
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language:
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- en
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tags:
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- code
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- debugging
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- behavioral-data
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- software-engineering
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pretty_name: DebugTraj-50K
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size_categories:
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- 100K<n<1M
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---
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# DebugTraj-50K: Developer Debugging Trajectory Dataset
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50,000 debugging sessions with 665,364 step-by-step behavioral events across 8 programming languages and 71 error types.
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## Load in one line
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```python
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import pandas as pd
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sessions = pd.read_csv("hf://datasets/pyofpython/debugtraj-50k/code_debugging_sessions_fixed.csv")
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events = pd.read_csv("hf://datasets/pyofpython/debugtraj-50k/code_debugging_events_fixed.csv")
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```
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## What makes this unique
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Most bug datasets only say "bug was fixed in 23 minutes."
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This dataset records every step taken during those 23 minutes — every compile, edit, search, test, and commit.
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## Files
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| File | Rows | Description |
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|------|------|-------------|
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| code_debugging_sessions_fixed.csv | 50,000 | Session features (38 columns) |
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| code_debugging_events_fixed.csv | 665,364 | Event trajectories (9 columns) |
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| DATA_DICTIONARY_updated.md | — | Full column documentation |
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## Use cases
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- Predict debugging time from early session features
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- Classify whether a session will succeed or be abandoned
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- Next-action prediction for AI coding assistants
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- Study junior vs senior developer behavior patterns
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## Citation
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```bibtex
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@dataset{singh2026debugtraj,
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author = {Abhishek Singh},
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title = {DebugTraj-50K: Developer Debugging Trajectory Dataset},
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year = {2026},
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publisher = {HuggingFace},
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url = {https://huggingface.co/datasets/pyofpython/debugtraj-50k}
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}
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```
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