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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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+
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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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+
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+ # Finch Dataset
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+
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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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+
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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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+ ---
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+
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+ ## Dataset Description
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+
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+ Finch focuses on **composite finance & accounting workflows** that span:
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+
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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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+
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+ The workflows are derived from **real-world enterprise workspaces**, including:
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+
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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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+
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+ We adopt a three-step workflow labeling process:
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+
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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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+
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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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+ ---
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+
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+ ## Dataset Structure
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+
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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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+
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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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+ }