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@@ -57,7 +57,7 @@ We adopt a three-step workflow labeling process:
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  This process yields **172 enterprise-grade workflows—primarily multi-task composite**, involving 1,710 spreadsheets and 2.7 million cells, capturing the intrinsic **compositional, messy, multimodal, and collaborative nature** 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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  This process yields **172 enterprise-grade workflows—primarily multi-task composite**, involving 1,710 spreadsheets and 2.7 million cells, capturing the intrinsic **compositional, messy, multimodal, and collaborative nature** 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 (GPT 5.1 Pro and Claude Sonnet 4.5 Pro) solve fewer than 30% of the workflows, revealing a substantial performance gap for real-world enterprise scenarios.
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