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metadata
pretty_name: Python–Java Project Dataset
language:
  - en
tags:
  - code
  - code-completion
  - program-repair
  - repository-level
  - python
  - java
size_categories:
  - n<1K
configs:
  - config_name: python
    data_files:
      - split: test
        path: python.jsonl
  - config_name: java
    data_files:
      - split: test
        path: java.jsonl

Python–Java Project Dataset

This dataset provides metadata, original GitHub repository links, and pinned commit identifiers for 100 projects: 50 Python projects and 50 Java projects.

These small-scale projects originate from real-world GitHub repositories and span a range of application domains. Their original repository structures provide software contexts beyond isolated programming exercises.

Subsets and access

Select python or java in the dataset viewer. Each subset contains 50 project records with the same schema. Download individual metadata files through the Files and versions tab. Upstream source archives are linked in each record; they are hosted by the original repository owners.

With the Hugging Face datasets package, use the following with this dataset's repository identifier:

from datasets import load_dataset
python_projects = load_dataset("gracezheng72/python-java-project-dataset", "python", split="test", revision="1349e5177c968f789938ff50d1daf6f787b19d87")
java_projects = load_dataset("gracezheng72/python-java-project-dataset", "java", split="test", revision="1349e5177c968f789938ff50d1daf6f787b19d87")

Provenance and local verification

The final language-specific metadata CSVs were compared with the local experimental copies and matched in all 100 records. Git checkouts were checked against their recorded commit and tracked-file state. Projects originally downloaded without Git history were checked against their saved file-hash copy manifests, including comparison with the desktop originals. See provenance_audit.json for counts and qualifications.

Older root-level download manifests contain replaced candidates and are not the final cohort definition. The original language-ratio values are preserved as recorded metadata; they were not independently recomputed during release preparation.

Fields

Field Meaning
project_id Stable language-prefixed project identifier
programming_language Python or Java
repository, github_url Upstream owner/name and repository link
commit_sha, commit_url Exact recorded source revision and its GitHub link
source_archive_url ZIP link for that upstream commit
project_directory Original experiment directory identifier
dataset_status Status in the final project metadata
recorded_primary_language_ratio Language ratio recorded in the original metadata
provenance_verification Local checks supporting this record
root_license_files License filenames observed at the local project root; not a definitive license classification
source_redistributed_in_this_release False for this metadata-only release
license_note Upstream-license qualification

Attribution and licenses

All upstream project code remains attributed to its original authors and subject to its own applicable license and notices. A public GitHub repository does not by itself establish permission to redistribute its code. Some projects require additional license verification; therefore no upstream source code is republished in this initial release and no single license is claimed for the collected project code. Follow each pinned repository's license when retrieving or using source files.

Limitations and reproducibility

Pinned source links identify revisions but do not guarantee continued upstream availability. Remote ZIP availability was not rechecked in the local audit. GitHub source archives omit Git history and may omit submodule contents or contain Git LFS pointers; obtain any required submodule/LFS data from the upstream project's instructions. Full replication additionally requires the exact skeleton policy, prompts, protected tests, environment configuration, and evaluation scripts, which are outside this index release.

No model-ranking, pass-rate, security, or contamination conclusions should be inferred from these repository indexes. Project order and metadata do not establish freedom from training-data overlap.

Citation and versioning

When citing this index, include the dataset page URL and its release tag or commit SHA. The associated manuscript is under revision; no publication venue, DOI, or finalized paper citation is asserted here.