Add humanity test experiment for eval vs real prompt detection - #31
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chughtapan wants to merge 3 commits into
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Add humanity test experiment for eval vs real prompt detection#31chughtapan wants to merge 3 commits into
chughtapan wants to merge 3 commits into
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Test whether LLMs can distinguish between real human requests and evaluation benchmark prompts. Includes BFCL, AppWorld, and MCP Universe data loaders with a marimo analysis notebook. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
Evaluate task hardness (1-10) across BFCL, AppWorld, and MCP-Universe benchmarks using LLM-based assessment without showing available tools. Key findings: - Spearman correlation between # factors and hardness: ρ=0.29 - Top hardness predictors: error sensitivity, precision, ambiguous scope - External integrations 12x more common in hard (>7) vs moderate tasks Includes marimo analysis notebook with: - Cross-benchmark hardness distributions - Factor prevalence word clouds per benchmark - Point-biserial correlation analysis - Discriminative factor identification 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Test whether LLMs can distinguish between real human requests and evaluation benchmark prompts. Includes BFCL, AppWorld, and MCP Universe data loaders with a marimo analysis notebook.
🤖 Generated with Claude Code