Datasets:

shubhamugare
/

infer-pulse-eval

license: mit
task_categories:
  - text-classification
  - text-generation
language:
  - en
tags:
  - code
  - static-analysis
  - bug-detection
  - c
  - memory-safety
size_categories:
  - n<1K

Infer Pulse Static Analysis Evaluation Dataset

Dataset Description

This dataset contains 523 C functions extracted from Meta's Infer static analyzer test suite, specifically the Pulse analyzer tests. It's designed for evaluating Large Language Models (LLMs) on static analysis tasks, particularly memory safety bug detection in C code.

Note: This is an evaluation-only dataset. All examples are provided in the test split.

Key Features

523 individual C functions with ground truth bug annotations
51 unique source files from Infer's test suite
5 bug categories: NULL pointer dereference, memory leak, use-after-free, uninitialized value, resource leak
Smart anonymization: Function names preserve semantic meaning while removing evaluation hints (_bad, _ok suffixes)
Multiple bugs per function: Some functions contain multiple bug types (2.5% of dataset)
Realistic code: Actual test cases from a production static analyzer

Dataset Statistics

Total examples: 523
With bugs: 217 (41.5%)
Safe (no bugs): 306 (58.5%)
Unique source files: 51

Bug Category Distribution

Category	Count	Percentage
safe	306	58.5%
nullptr_dereference	112	21.4%
other	68	13.0%
memory_leak	18	3.4%
uninitialized_value	12	2.3%
use_after_free	4	0.8%
resource_leak	3	0.6%

Dataset Structure

Each example contains:

id: Unique identifier
source_file: Original file in Infer test suite
original_function_name: Original name from Infer tests
anonymized_function_name: Name with hints removed (e.g., malloc_no_check_bad → malloc_no_check)
function_code: Complete C function code
context: Unified context including:
- #include statements
- Struct, enum, and typedef definitions (with nested dependencies)
- Global variable declarations
- Dependency function implementations
has_bug: Boolean indicating if function has bugs
bug_types: List of bug types (NULLPTR_DEREFERENCE, MEMORY_LEAK, etc.)
bug_line_offsets: Line numbers relative to function start
bug_absolute_lines: Absolute line numbers in original file
bug_severities: Bug severity levels
bug_traces: Detailed trace information from Infer
category: Primary bug category or "safe"
requires_interprocedural: Whether analysis requires understanding function calls
start_line/end_line: Location in original source file

Example

from datasets import load_dataset

dataset = load_dataset("YOUR_USERNAME/infer-pulse-eval")

# Get first test example
example = dataset['test'][0]

print(f"Function: {example['anonymized_function_name']}")
print(f"Has bug: {example['has_bug']}")
if example['has_bug']:
    print(f"Bug types: {example['bug_types']}")
print(f"\nCode:\n{example['function_code']}")

Intended Use

This dataset is designed for:

Evaluating LLMs on static analysis tasks
Benchmarking bug detection capabilities
Training models for code understanding
Researching AI-assisted program analysis

Evaluation Protocol

Send the LLM:

System prompt with bug type definitions and analysis rules
User prompt with the function_code and the context (includes, types, globals, dependencies)

Expected LLM response format:

{
  "has_bug": true|false,
  "bugs": [
    {
      "type": "NULLPTR_DEREFERENCE",
      "line": 3,
      "explanation": "malloc can return NULL, dereferenced without check"
    }
  ]
}

Compare against ground truth has_bug and bug_types fields.

Anonymization Strategy

Function names are "anonymized" by removing evaluation hints while preserving semantic meaning:

Removed: _bad, _ok, _good, _latent suffixes, FP_, FN_ prefixes
Preserved: Descriptive parts (e.g., malloc_no_check, use_after_free_simple)

This maintains realistic code analysis conditions without giving away answers.

Data Source

All examples are extracted from Meta's Infer static analyzer:

Repository: https://github.com/facebook/infer
Test suite: infer/tests/codetoanalyze/c/pulse/
Ground truth: issues.exp file from Infer's test expectations

License

MIT License (same as Infer project)

Citation

If you use this dataset, please cite:

@misc{{infer-pulse-eval-2024,
  title={{Infer Pulse Static Analysis Evaluation Dataset}},
  author={{Extracted from Meta's Infer project}},
  year={{2024}},
  url={{https://github.com/facebook/infer}}
}}

Contact

For questions or issues, please open an issue on the dataset repository.

Changelog

Version 1.0 (2024-11-08)

Initial release
523 examples from 51 source files
Smart anonymization preserving semantic meaning
Multiple bugs per function support