PyEnvs and CallArgs: Python Packages and Function Call Data for Code Completion

PyEnvs is a collection of 2,814 permissively licensed Python packages with isolated development environments. The CallArgs dataset is built on top of PyEnvs, providing function definition, implementation, and usage information for function call instances. The data is hosted on AWS Open Data and is tagged for machine learning and code completion tasks.

Use Cases

• Training code completion models based on function definition and usage information.
• Analyzing patterns in function call arguments based on the provided usage data.
• Building isolated development environment tooling based on the packaged Python environments.
• Enhancing program analyzers like Jedi Language Server with project-related information.

Strengths

• Contains 2,814 Python packages with permissive licenses.
• Provides structured data on function definitions, implementations, and usage for call instances.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

aws_open_data

Collection Method

Collection of Python packages and derived analysis for function calls.

Time Range

null

Freshness

Last updated date is unknown.

Geography

null