noetic-labs/finance-data-gdpval

finance-data — DHR / ILMN M&A Analysis Tasks

Investment-banking analysis tasks set in a (fictional) strategic M&A project where Danaher (DHR) explores acquiring Illumina (ILMN). Each task gives an agent a prompt plus a full deal-room of reference materials (financial models, spreadsheets, PDFs, research) and grades the answer against a per-criterion rubric. Tasks that require modifying a workbook also ship the expert's gold workbook as a deliverable file.

Layout

data/                 # the task table (parquet, 3 rows)
reference_folder/     # the shared deal-room every task works from
├── filesystem/       #   models, filings, research, deal docs (xlsx/pdf/pptx/…)
└── .apps_data/       #   app state (mail, calendar, chat) for the simulated environment
deliverable_files/    # gold deliverable workbooks, one subfolder per task

All tasks share one reference folder — they are set in the same deal. The reference_folder column holds its repo-relative path.

Columns

Rubric format (rubric_json)

A JSON array; each entry is one grading criterion with fields:

• —verifier_id, index — identity/ordering
• —criteria — the criterion text
• —criteria_explanation — step-by-step reference reasoning for the grader
• —weight — contribution to the weighted task score
• —is_primary_objective — a task passes only if all primary criteria pass
• —tolerance.type / tolerance.low / tolerance.high / tolerance.units — numeric acceptance band (e.g. exact, absolute_range)
• —dependencies — criteria that must pass for this one to be meaningful
• —criterion_type, evaluation_scope, expected_file_type, human_rating, tags, universal

PII note

All deal-team correspondence in .apps_data/ (mail, calendar, chat) is fictional, written for this task world; the personas (Julian Voss, Marcus Thorn, Elena Sato, Priya Narang, "Deal Team", "MD", "Client") do not correspond to real people. Their email addresses use the RFC-2606 reserved domain example.com, so no address in this corpus is routable or can collide with a real account. Google service identifiers (mail thread IDs, chat space/account IDs) and document-sharing URLs in the app data are synthetic placeholders that resolve to nothing. Contact details appearing inside filesystem/ documents are unmodified public-record content from published company filings and reports.

Intended harness

Populate a sandboxed environment from reference_folder, run the agent with file/spreadsheet/PDF tools, and grade the final answer with an LLM judge that applies each rubric criterion within its stated tolerance. A task passes iff every primary-objective criterion passes. For tasks with deliverable_files, the gold workbook shows the expected end-state of the modified model.