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Add gold deliverable workbooks (tasks 7, 9); rewrite README; update task table

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.gitattributes CHANGED
@@ -301,3 +301,5 @@ reference_folder/filesystem/5.[[:space:]]Analysis/Merger[[:space:]]Model/!Archiv
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  reference_folder/filesystem/5.[[:space:]]Analysis/Merger[[:space:]]Model/Project[[:space:]]Helix[[:space:]]-[[:space:]]Merger[[:space:]]Model[[:space:]]-[[:space:]]vF.xlsx filter=lfs diff=lfs merge=lfs -text
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  reference_folder/filesystem/6.[[:space:]]Presentations/!Archive/Project[[:space:]]Helix[[:space:]]-[[:space:]]Acquisition[[:space:]]Proposal[[:space:]]v1.pptx filter=lfs diff=lfs merge=lfs -text
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  reference_folder/filesystem/6.[[:space:]]Presentations/Project[[:space:]]Helix[[:space:]]-[[:space:]]Acquisition[[:space:]]Proposal[[:space:]]v2.pptx filter=lfs diff=lfs merge=lfs -text
 
 
 
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  reference_folder/filesystem/5.[[:space:]]Analysis/Merger[[:space:]]Model/Project[[:space:]]Helix[[:space:]]-[[:space:]]Merger[[:space:]]Model[[:space:]]-[[:space:]]vF.xlsx filter=lfs diff=lfs merge=lfs -text
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  reference_folder/filesystem/6.[[:space:]]Presentations/!Archive/Project[[:space:]]Helix[[:space:]]-[[:space:]]Acquisition[[:space:]]Proposal[[:space:]]v1.pptx filter=lfs diff=lfs merge=lfs -text
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  reference_folder/filesystem/6.[[:space:]]Presentations/Project[[:space:]]Helix[[:space:]]-[[:space:]]Acquisition[[:space:]]Proposal[[:space:]]v2.pptx filter=lfs diff=lfs merge=lfs -text
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+ deliverable_files/task_helix_dhr_ilmn_07/Project[[:space:]]Helix[[:space:]]-[[:space:]]DCF[[:space:]]Model[[:space:]]-[[:space:]]Task[[:space:]]7[[:space:]]Gold[[:space:]]Standard[[:space:]](ex-china).xlsx filter=lfs diff=lfs merge=lfs -text
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+ deliverable_files/task_helix_dhr_ilmn_09/Project[[:space:]]Helix[[:space:]]-[[:space:]]Merger[[:space:]]Model[[:space:]]-[[:space:]]Task[[:space:]]9[[:space:]]Gold[[:space:]]Standard.xlsx filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -6,14 +6,14 @@ configs:
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  path: data/train-*
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  ---
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- # finance-data — DHR / ILMN M&A Tasks (GDPval-style)
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- Real-world investment-banking analysis tasks set in a (fictional) strategic M&A
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- project where Danaher (DHR) explores acquiring Illumina (ILMN). Each task gives
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- an agent a prompt plus a full deal-room of reference materials (financial
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- models, spreadsheets, PDFs, research) and grades the answer against a
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- per-criterion rubric. Format follows [openai/gdpval](https://huggingface.co/datasets/openai/gdpval),
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- adapted where our data is richer.
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  ## Layout
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@@ -22,11 +22,11 @@ data/ # the task table (parquet, 3 rows)
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  reference_folder/ # the shared deal-room every task works from
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  ├── filesystem/ # models, filings, research, deal docs (xlsx/pdf/pptx/…)
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  └── .apps_data/ # app state (mail, calendar, chat) for the simulated environment
 
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  ```
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- Unlike GDPval's per-task `reference_files`, all tasks here share **one
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- reference folder** (they are set in the same deal). The `reference_folder`
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- column holds its repo-relative path.
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  ## Columns
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@@ -37,11 +37,10 @@ column holds its repo-relative path.
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  | `occupation` | string | `Investment Banking Analyst` |
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  | `prompt` | string | Self-contained task instructions (includes scenario framing) |
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  | `reference_folder` | string | Repo-relative path to the shared deal-room (`reference_folder`) |
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- | `deliverable_files` | list[string] | Repo-relative paths to gold deliverable files (currently empty see note) |
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  | `gold_response` | string | The expert gold answer (text) |
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- | `gold_file_names` | list[string] | Names of gold deliverable files referenced by the task author |
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  | `rubric_pretty` | string | Human-readable rubric |
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- | `rubric_json` | string | JSON-encoded rubric (native format, see below) |
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  ## Rubric format (`rubric_json`)
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@@ -57,16 +56,10 @@ A JSON array; each entry is one grading criterion with fields:
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  - `dependencies` — criteria that must pass for this one to be meaningful
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  - `criterion_type`, `evaluation_scope`, `expected_file_type`, `human_rating`, `tags`, `universal`
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- This is richer than GDPval's flat score/criterion checklist: criteria carry
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- numeric tolerances, weights, primary-objective flags, and inter-criterion
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- dependencies.
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- ## Notes
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-
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- - Task `task_helix_dhr_ilmn_09` expects a modified Excel workbook as its
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- deliverable; its gold workbook (`Project Helix - Merger Model - Task 9 Gold
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- Standard.xlsx`, listed in `gold_file_names`) is not included as we only hold
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- the world's starting state. `deliverable_files` is empty for all tasks.
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- - Intended harness: populate a sandboxed environment from `reference_folder`,
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- run the agent with file/spreadsheet/PDF tools, grade the final answer with an
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- LLM judge applying each rubric criterion (pass iff all primary criteria pass).
 
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  path: data/train-*
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  ---
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+ # finance-data — DHR / ILMN M&A Analysis Tasks
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+ Investment-banking analysis tasks set in a (fictional) strategic M&A project
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+ where Danaher (DHR) explores acquiring Illumina (ILMN). Each task gives an
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+ agent a prompt plus a full deal-room of reference materials (financial models,
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+ spreadsheets, PDFs, research) and grades the answer against a per-criterion
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+ rubric. Tasks that require modifying a workbook also ship the expert's gold
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+ workbook as a deliverable file.
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  ## Layout
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  reference_folder/ # the shared deal-room every task works from
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  ├── filesystem/ # models, filings, research, deal docs (xlsx/pdf/pptx/…)
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  └── .apps_data/ # app state (mail, calendar, chat) for the simulated environment
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+ deliverable_files/ # gold deliverable workbooks, one subfolder per task
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  ```
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+ All tasks share **one reference folder** — they are set in the same deal. The
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+ `reference_folder` column holds its repo-relative path.
 
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  ## Columns
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  | `occupation` | string | `Investment Banking Analyst` |
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  | `prompt` | string | Self-contained task instructions (includes scenario framing) |
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  | `reference_folder` | string | Repo-relative path to the shared deal-room (`reference_folder`) |
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+ | `deliverable_files` | list[string] | Repo-relative paths to the gold deliverable workbook(s); empty for answer-only tasks |
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  | `gold_response` | string | The expert gold answer (text) |
 
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  | `rubric_pretty` | string | Human-readable rubric |
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+ | `rubric_json` | string | JSON-encoded rubric (see below) |
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  ## Rubric format (`rubric_json`)
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  - `dependencies` — criteria that must pass for this one to be meaningful
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  - `criterion_type`, `evaluation_scope`, `expected_file_type`, `human_rating`, `tags`, `universal`
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+ ## Intended harness
 
 
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+ Populate a sandboxed environment from `reference_folder`, run the agent with
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+ file/spreadsheet/PDF tools, and grade the final answer with an LLM judge that
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+ applies each rubric criterion within its stated tolerance. A task passes iff
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+ every primary-objective criterion passes. For tasks with `deliverable_files`,
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+ the gold workbook shows the expected end-state of the modified model.
 
 
 
 
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