Benchmark table mining starter

Skill ma-compbio-lab/SkillFoundry/skills/scientific-knowledge/benchmark-table-mining-starter

Parse small benchmark markdown tables from paper notes and summarize datasets, metrics, and best-performing methods.From its SKILL.md

Install

npx -y skills add ma-compbio-lab/SkillFoundry --skill benchmark-table-mining-starter

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.1 KB, 204 tokens by cl100k_base, as published. Nobody here has run it

Benchmark Table Mining Starter

Use this starter on locally prepared markdown notes that contain one or more benchmark tables.

The wrapper:

scans all markdown table blocks in the note
selects the most leaderboard-like table instead of assuming the first table is the benchmark
preserves canonical leaderboard fields such as task, dataset, metric, model, and score when they exist

python3 skills/scientific-knowledge/benchmark-table-mining-starter/scripts/run_benchmark_table_mining.py \
  --input skills/scientific-knowledge/benchmark-table-mining-starter/examples/benchmark_note.md

For a broader Papers-with-Code-style note that includes an earlier non-leaderboard table, use:

python3 skills/scientific-knowledge/benchmark-table-mining-starter/scripts/run_benchmark_table_mining.py \
  --input skills/scientific-knowledge/benchmark-table-mining-starter/examples/sample_benchmark_notes.md