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README.md
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license: cc-by-3.0
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task_categories:
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- text-generation
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- table-question-answering
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language:
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- en
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tags:
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- multimodal
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- spreadsheet
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- workflow
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-
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license: cc-by-3.0
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task_categories:
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- text-generation
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language:
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- en
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tags:
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- multimodal
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- spreadsheet
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- workflow
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configs:
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- config_name: Finch_Dataset_All
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data_files:
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- split: valid
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path:
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- Finch_Dataset_valid.jsonl
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- split: test
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path:
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- Finch_Dataset_test.jsonl
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---
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# Finch Dataset
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This repository contains the dataset for **Finch**, an enterprise-level benchmark for evaluating an agent’s ability to act like a skilled finance & accounting expert on real-world workflows.
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* **Paper**: _to be added_
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* **Project Page**: https://huggingface.co/datasets/FinWorkBench/Finch
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* **Code**: https://github.com/FinWorkBench
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---
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## Dataset Description
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Finch focuses on **composite finance & accounting workflows** that span:
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> data entry/import, structuring/formatting, web search, cross-sheet/file retrieval, calculation, financial modeling, validation, translation, visualization, and reporting.
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The workflows are derived from **real-world enterprise workspaces**, including:
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- Large and messy **spreadsheets** with multimodal artifacts including text, tables, formulas, charts, pivots, images, etc
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- Linked **PDFs and documents** that provide additional business context
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We adopt a three-step workflow labeling process:
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1. **Summarizing workflow types** supported by real collaborative enterprise email threads.
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2. **Deriving concrete workflow instances** from versioned spreadsheets and related files.
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3. **Meticulous expert annotation** of instructions and reference outputs.
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This process yields **172 enterprise-grade single- and multi-task workflows** with carefully written instructions and aligned input/reference files, capturing the intrinsic **complexity, messiness, and multimodality** of real-world finance & accounting work.
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---
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## Dataset Structure
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The instruction-tuning corpus is released in **JSONL** format and follows the standard **LLaMA Factory Alpaca** schema.
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Each line is one **workflow-centric example**:
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```json
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{
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"instruction": "Task instruction for a specific finance & accounting workflow (e.g., 'Reconcile the cash balance and explain the variance using the provided spreadsheet tabs.').",
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"input": _to be added_,
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"output": _to be added_
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}
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