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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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language:
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- en
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tags:
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- multimodal
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- agent
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- workflow
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- spreadsheet
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- pdf
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- image
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# Finch: Benchmarking Finance & Accounting
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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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We adopt a three-step workflow labeling process:
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1. **
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2. **Deriving concrete workflow instances**
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3. **
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This process yields **172 enterprise-grade workflows—primarily multi-task composite** — each with carefully written instructions and aligned input/reference files, capturing the intrinsic **
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Experiment results show that even frontier agents solve fewer than 30% of the workflows, revealing a substantial performance gap for real-world enterprise scenarios.
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---
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license: cc-by-3.0
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tags:
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- agent
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- workflow
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- multimodal
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- spreadsheet
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- pdf
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- image
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# Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows
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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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We adopt a three-step workflow labeling process:
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1. **Inducing workflow types** rom real collaborative enterprise email threads and their attachments.
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2. **Deriving concrete workflow instances** by analyzing changes across spreadsheet versions.
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3. **Conductin meticulous expert annotation** of task instructions, input files, and reference outputs, involving hundreds of hours of expert work.
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This process yields **172 enterprise-grade workflows—primarily multi-task composite** — each with carefully written instructions and aligned input/reference files, capturing the intrinsic **compositionality, messiness, and multimodality** of real-world finance & accounting work. In this release, we provide full annotations for the first 72 workflows, with the remaining 100 to be released in a subsequent update.
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Experiment results show that even frontier agents solve fewer than 30% of the workflows, revealing a substantial performance gap for real-world enterprise scenarios.
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