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@@ -58,7 +58,7 @@ We curate a large corpus of legal and administrative data. The utility of this d
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  ### Supported Tasks and Leaderboards
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- This is meant as an analysis corpus, but may be used for masked language model pretraining.
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  ### Languages
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  ### Data Instances
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- **r_legaladvice** : Filtered data from the r/legaladvice and r/legaladviceofftopic subreddits in the format.
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- Title: [Post Title]
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- Topic: [Post Flair]
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- Answer \#[N]: [Top Answers]...
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-
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  **courtListener_docket_entry_documents** : Docket entries in U.S. federal courts, including filed briefs from CourtListener RECAP archive.
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  **courtListener_opinions** : U.S. court opinions from CourtListener.
@@ -139,6 +134,12 @@ Answer \#[N]: [Top Answers]...
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  **dol_ecab**: Department of Labor Employees' Compensation Appeals Board decisions after 2006
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  ### Data Fields
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  - text: the document text
 
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  ### Supported Tasks and Leaderboards
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+ See paper for details.
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  ### Languages
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  ### Data Instances
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  **courtListener_docket_entry_documents** : Docket entries in U.S. federal courts, including filed briefs from CourtListener RECAP archive.
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  **courtListener_opinions** : U.S. court opinions from CourtListener.
 
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  **dol_ecab**: Department of Labor Employees' Compensation Appeals Board decisions after 2006
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+ **r_legaladvice** : Filtered data from the r/legaladvice and r/legaladviceofftopic subreddits in the format.
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+ Title: [Post Title]
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+ Topic: [Post Flair]
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+ Answer \#[N]: [Top Answers]...
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+
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+
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  ### Data Fields
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  - text: the document text