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** is a database that captures
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To download a data file, use:
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```
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from datasets import load_dataset
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dataset = load_dataset("SALT-NLP/WORKBank", data_files="worker_data/domain_worker_metadata.csv")
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```
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## Citation
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Please cite our paper if you use this code or part of it in your work:
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**WORKBank (AI Agent Worker Outlook and Readiness Knowledge Bank)** is a database that captures worker desire and technological capability of AI agents for occupational tasks.
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The current version of WORKBank includes preferences from 1,500 U.S. domain workers and capability assessments from AI experts, covering over 844 tasks across 104 occupations collected between January and May 2025. This database stems from our project detailed in [*Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce*](https://arxiv.org/abs/2506.06576) that introduces a novel auditing framework to assess which occupational tasks workers want AI agents to automate or augment, and how those desires align with the current technological capabilities.
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## WorkBank Database and Code
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To download a data file, use:
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```python
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from datasets import load_dataset
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worker_desire = load_dataset("SALT-NLP/WORKBank", data_files="worker_data/domain_worker_desires.csv")["train"]
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expert_ratings = load_dataset("SALT-NLP/WORKBank", data_files="expert_ratings/expert_rated_technological_capability.csv")["train"]
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task_meta_data = load_dataset("SALT-NLP/WORKBank", data_files="task_data/task_statement_with_metadata.csv")["train"]
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```
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Our [github repository](https://github.com/SALT-NLP/workbank/tree/main) contains our [Code Book](https://github.com/SALT-NLP/workbank/blob/main/codebook.pdf) and the code used for analysis and plotting of diagrams.
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## Citation
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Please cite our paper if you use this code or part of it in your work:
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