TrajectoryTrace / README.md
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---
pretty_name: TrajectoryTrace replication inputs
language:
- en
---
# TrajectoryTrace: exact replication inputs
This dataset packages the local inputs used by the [TrajectoryTrace project](https://github.com/professordjkim/TrajectoryTrace). It is separate from [agenttraj-swebench-data](https://huggingface.co/datasets/djaekim/agenttraj-swebench-data): the local bug-triggering reference coverage differs from that older hosted coverage. The older dataset should not be substituted for these inputs when reproducing the current analyses.
## Download and extract
Download `download_dataset.py` and `requirements.txt` from this dataset, or use `code/download_project_data.py` in the GitHub repository. Run from the project root:
```sh
python -m pip install -r requirements.txt
python download_dataset.py actions --list
python download_dataset.py actions
python download_dataset.py coverage
python download_dataset.py replay
python download_dataset.py trajectories
```
Use `graphs` for the additional graph data, or `all` for every component. Use `--list` to inspect compressed and extracted sizes first. Fully extracted inputs require about 219 GiB, plus space for compressed downloads. Cached archives are saved under `data/.packages/`.
The helper verifies both archive and extracted-file SHA-256 checksums, and restores the original `data/` layout expected by the code. Existing differing files are preserved unless `--force` is specified. Use `--revision COMMIT` to pin downloads to a dataset commit.
## Contents
- `archives/actions_all.tar.zst`: parsed action log.
- `archives/coverage.tar.zst`: exact local reference coverage, buggy-version coverage, and associated metadata.
- `archives/replay--*.tar.zst`: replay coverage and original replay archives/metadata.
- `archives/trajectory--*.tar.zst`: original trajectories and evaluation records, grouped by configuration.
- `archives/graph.tar.zst`: graph inputs.
- `inventory.json`: package paths, sizes, counts, and archive checksums.
- `archives/*.files.jsonl`: original paths, byte sizes, and per-file SHA-256 checksums.
- `SHA256SUMS.txt`: archive checksums.
All input files are packaged from the local project without changing their contents. Local extraction markers and download-cache metadata are excluded. Raw trajectories can contain environment paths and recorded command outputs. The dataset preserves research evidence; labels and instrumentation have the limitations described in the manuscript. The manuscript is a working draft.
Project code, LaTeX, and compiled PDFs are on GitHub. Computed outputs are in the [replication release](https://github.com/professordjkim/TrajectoryTrace/releases/tag/replication-2026-10-16). This dataset packages inputs, not claims of validated reproduction or causal effects. Third-party source and benchmark terms continue to apply; no new license is asserted here.
## Verified package
The package contains **242,911 files in 63 archives**, representing **218.82 GiB** of original inputs and **2.09 GiB** of compressed downloads. Every archived file was read back and checked against its SHA-256 manifest. Every hosted archive checksum was checked against the verified local package. See `validation.json` for the validation summary.
The download helper requires Python 3.11 or later.