Dataset Viewer
The dataset could not be loaded because the splits use different data file formats, which is not supported. Read more about the splits configuration. Click for more details.
Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('parquet', {}), NamedSplit('test'): (None, {})}
Error code: FileFormatMismatchBetweenSplitsError
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
🚀 OmniMCP Python Backend Architect (Evaluation Teaser + Turnkey MCP Server)
⚡ Official Free Community Teaser (50 Verified Scenarios + Executable MCP Server)
🏆 Production Master Package on Gumroad:
👉 Purchase Full Enterprise Package on Gumroad
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⚡ Activate in Cursor IDE & Claude Desktop in 30 Seconds
This repository now contains a zero-dependency, turnkey Model Context Protocol (MCP) server (server_free.py).
You can connect this AI guard directly to your IDE in 2 steps:
1. In Cursor IDE:
Add the following to your project's .cursor/mcp.json (or copy .cursor_mcp_config.json):
{
"mcpServers": {
"emgena-python-backend-architect": {
"command": "python",
"args": ["server_free.py"]
}
}
}
2. In Claude Desktop:
Add to your claude_desktop_config.json:
{
"mcpServers": {
"emgena-python-backend-architect": {
"command": "python",
"args": ["/ABSOLUTE/PATH/TO/server_free.py"]
}
}
}
🛠️ Included Real-Time MCP Tools:
audit_python_concurrency: Audits Python async/await code for event loop deadlocks, unawaited coroutines, and blocking calls.verify_ast_clean: Parses Python code into an Abstract Syntax Tree to guarantee 0.0% syntax errors.diagnose_asyncio_deadlock: Diagnoses Celery/AsyncIO worker freeze, thread starvation, and event loop locking.
📦 Dataset Overview
- Evaluation Samples: 50 multi-turn verified engineering scenarios.
- Format: Apache Parquet (
train.parquet) & JSONL. - 100% AST Syntactic Verification: Zero syntax errors.
- EU AI Act & EULA Compliance: Certified for safe enterprise AI development under Articles 50 & 53.
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