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Download data/processed/RQ1/README.md from AINativeOps/AINativeBench: direct link, hf CLI and curl.
- Browser
- Download file 990 Bytes
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https://huggingface.co/datasets/AINativeOps/AINativeBench/resolve/main/data/processed/RQ1/README.md
- Command line
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hf download hf://datasets/AINativeOps/AINativeBench/data/processed/RQ1/README.md
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curl -L -o README.md https://huggingface.co/datasets/AINativeOps/AINativeBench/resolve/main/data/processed/RQ1/README.md
990 Bytes
RQ1
This directory contains scripts and aggregated artifacts for RQ1 evaluation.
Structure
Each subfolder corresponds to one task/project and orchestration variant:
*-A2A: A2A runs*-H_A2A: hard-coded A2A baseline*-MCP: MCP runs
Typical contents of each subfolder:
reference_trajectory.yaml: reference (ground-truth) trajectory/configevaluate_trajectory*.py: trajectory-metric evaluation (writes CSV)evaluate_success.py: success-rate computation (writes JSON/CSV)analyze_retry_patterns.py: retry/error pattern analysis (writes JSON/CSV)
Radar charts
generate_radar_charts.py: generates radar charts from evaluation outputs.
Usage
Run scripts from within the corresponding subfolder, e.g.:
python3 evaluate_trajectory.py --config reference_trajectory.yaml --output evaluation_results.csv
python3 evaluate_success.py
python3 analyze_retry_patterns.py
Then (from RQ1/):
python3 generate_radar_charts.py