Datasets:
Download leakage_check.json from Tejaswiniprabhakaran19/patchpilot-patchgen: direct link, hf CLI and curl.
- Browser
- Download file 2.22 kB
-
https://huggingface.co/datasets/Tejaswiniprabhakaran19/patchpilot-patchgen/resolve/main/leakage_check.json
- Command line
-
hf download hf://datasets/Tejaswiniprabhakaran19/patchpilot-patchgen/leakage_check.json
-
curl -L -o leakage_check.json https://huggingface.co/datasets/Tejaswiniprabhakaran19/patchpilot-patchgen/resolve/main/leakage_check.json
2.22 kB
| { | |
| "train_source": "princeton-nlp/SWE-bench", | |
| "train_instances_checked": 8867, | |
| "train_repos": [ | |
| "DataDog/integrations-core", | |
| "JohnSnowLabs/spark-nlp", | |
| "Lightning-AI/lightning", | |
| "PrefectHQ/prefect", | |
| "Qiskit/qiskit", | |
| "apache/airflow", | |
| "apache/mxnet", | |
| "celery/celery", | |
| "conan-io/conan", | |
| "conda/conda", | |
| "dagster-io/dagster", | |
| "docker/compose", | |
| "explosion/spaCy", | |
| "gitpython-developers/GitPython", | |
| "google/jax", | |
| "googleapis/google-cloud-python", | |
| "huggingface/transformers", | |
| "ipython/ipython", | |
| "jupyterlab/jupyterlab", | |
| "kubeflow/pipelines", | |
| "mesonbuild/meson", | |
| "numpy/numpy", | |
| "open-mmlab/mmdetection", | |
| "pandas-dev/pandas", | |
| "pantsbuild/pants", | |
| "pyca/cryptography", | |
| "pypa/pip", | |
| "python/typeshed", | |
| "ray-project/ray", | |
| "scipy/scipy", | |
| "tensorflow/models", | |
| "tiangolo/fastapi", | |
| "twisted/twisted", | |
| "wagtail/wagtail", | |
| "ytdl-org/youtube-dl" | |
| ], | |
| "all_train_split_instances_checked": 19008, | |
| "eval_source": "princeton-nlp/SWE-bench_Lite", | |
| "eval_instances_checked": 300, | |
| "eval_repos": [ | |
| "astropy/astropy", | |
| "django/django", | |
| "matplotlib/matplotlib", | |
| "mwaskom/seaborn", | |
| "pallets/flask", | |
| "psf/requests", | |
| "pydata/xarray", | |
| "pylint-dev/pylint", | |
| "pytest-dev/pytest", | |
| "scikit-learn/scikit-learn", | |
| "sphinx-doc/sphinx", | |
| "sympy/sympy" | |
| ], | |
| "eval_subset_instances": 50, | |
| "selected_train_vs_eval": { | |
| "repo": { | |
| "overlapping_eval_instances": 0, | |
| "examples": [] | |
| }, | |
| "instance_id": { | |
| "overlapping_eval_instances": 0, | |
| "examples": [] | |
| }, | |
| "issue_text": { | |
| "overlapping_eval_instances": 0, | |
| "examples": [] | |
| }, | |
| "gold_patch": { | |
| "overlapping_eval_instances": 0, | |
| "examples": [] | |
| } | |
| }, | |
| "full_train_split_vs_eval": { | |
| "repo": { | |
| "overlapping_eval_instances": 0, | |
| "examples": [] | |
| }, | |
| "instance_id": { | |
| "overlapping_eval_instances": 0, | |
| "examples": [] | |
| }, | |
| "issue_text": { | |
| "overlapping_eval_instances": 0, | |
| "examples": [] | |
| }, | |
| "gold_patch": { | |
| "overlapping_eval_instances": 0, | |
| "examples": [] | |
| } | |
| }, | |
| "leak_free": true | |
| } | |