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README.md

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 # Dataset Card for eoir_privacy
 
 ## Table of Contents
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 ### Dataset Summary
 
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-### Supported Tasks and Leaderboards
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+This dataset mimics privacy standards for EOIR decisions. It is meant to help learn contextual data sanitization rules to anonymize potentially sensitive contexts in crawled language data.
 
 ### Languages
 
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+English
 
 ## Dataset Structure
 
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   "label" : whether to use a pseudonym in filling masks
 }
 
-### Data Fields
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 ### Data Splits
 
-train, validation
+train 75%, validation 25%
 
 ## Dataset Creation
 
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 #### Annotation process
 
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+Annotations (i.e., pseudonymity decisions) were made by the EOIR court. We use regex to identify if a pseudonym was used to refer to the applicant/respondent. 
 
 #### Who are the annotators?
 
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+EOIR judges.
 
 ### Personal and Sensitive Information
 
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 Data may be biased due to its origin in U.S. immigration courts. 
 
-### Other Known Limitations
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-## Additional Information
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-### Dataset Curators
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 ### Licensing Information
 
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+CC-BY-NC
 
 ### Citation Information
+```
+@article{hendersonkrass2022pileoflaw,
+  title={Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset},
+  author={Henderson*, Peter and Krass*, Mark and Zheng, Lucia and Guha, Neel and Manning, Christopher and Jurafsky, Dan and Ho, Daniel E},
+  year={2022}
+}
 
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+```