Combined blueprint covering multiple data formats. Each format uses the same seeded dataset of 30 employee records and 5 questions per format. We measure exact-match numeric retrieval per prompt.

References:

• Blog: Which Table Format Do LLMs Understand Best?
• Script: https://github.com/weval-org/configs/blob/main/scripts/generate_table_format_eval.py

Reproduction command:

python3 scripts/generate_table_format_eval.py --combined --formats json,csv,xml,yaml,html,markdown_table,markdown_kv,ini,pipe_delimited,jsonl,natural_language --num-records 30 --per-format-questions 5 --temperatures 0.0, 0.1, 0.2 --systems both --out-dir blueprints/table-format-sensitivity --models CORE,FRONTIER