Update Readme.md: Added details on authorship and how model works.
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README.md
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Developed by: GivingTuesday Data Commions
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license: apache-2.0
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Model Type: BERT
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Training Data: 3.6k examples from the 990 database
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Accuracy: F1 score of 0.81 on a test dataset of 500 examples.
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Developed by: GivingTuesday Data Commions
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license: apache-2.0
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Model Type: BERT
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Training Data: 3.6k examples from the 990 database
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Accuracy: F1 score of 0.81 on a test dataset of 500 examples.
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This model classifies open-ended Schedule O text from IRS Forms 990 and 990-EZ into the specific part of the return that the filer is referencing. Given the filer’s narrative description of which section they are providing supplemental information for, the model returns a single standardized label from the following set: `I EZ`, `II EZ`, `III EZ`, `V EZ`, `III`, `V`, `VI`, `VII`, `IX`, `XI`, `XII`, or `Unknown`. This enables consistent tagging, aggregation, and analysis of Schedule O content across both Form 990 and Form 990-EZ filings.
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**The model was developed by: Zilun Lin - GivingTuesday Data Commons**
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*Note*: In implementation, be sure to adjust any source and target table references to match your specific environment.
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