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cold-cases

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Tags:
united states
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12

add-ids-and-jurisdictions

#6
by lil-mdellabitta - opened
base: refs/heads/main
←
from: refs/pr/6
Discussion Files changed
+197
-393
This view is limited to 50 files because it contains too many changes.  See the raw diff here.
Files changed (50) hide show
  1. README.md +5 -6
  2. cold.jsonl/.part-00003-09371919-52fb-4259-81a5-82363d5d5b87-c000.json.gz.crc +0 -3
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README.md CHANGED
@@ -33,12 +33,11 @@ A key input to legal understanding projects is caselaw -- the published, precede
33
  United States caselaw is collected and published as open data by [CourtListener](https://www.courtlistener.com/), which maintains scrapers to aggregate data from
34
  a wide range of public sources.
35
 
36
- COLD Cases reformats CourtListener's [bulk data](https://www.courtlistener.com/help/api/bulk-data) so that all of the semantic information about each legal decision
37
- (the authors and text of majority and dissenting opinions; head matter; and substantive metadata) is encoded in a single JSON object per decision, with extraneous
38
- data removed. By consolidating the data engineering for preprocessing caselaw in an
39
- [open source](https://github.com/harvard-lil/cold-cases-export)
40
- pipeline maintained by the Harvard Law School Library, we ensure
41
- that downstream machine learning and natural language processing projects can use consistent, high quality representations of cases for legal understanding tasks.
42
 
43
  Prepared by the [Harvard Library Innovation Lab](https://lil.law.harvard.edu) in collaboration with the [Free Law Project](https://free.law/).
44
 
 
33
  United States caselaw is collected and published as open data by [CourtListener](https://www.courtlistener.com/), which maintains scrapers to aggregate data from
34
  a wide range of public sources.
35
 
36
+ COLD Cases reformats CourtListener's [bulk data](https://www.courtlistener.com/help/api/bulk-data) so that all of the semantic information about each legal decision
37
+ (the authors and text of majority and dissenting opinions; head matter; and substantive metadata) is encoded in a single JSON object per decision,
38
+ with extraneous data removed. Serving in the traditional role of libraries as a standardization steward, the Harvard Library Innovation Lab is maintaining
39
+ this [open source](https://github.com/harvard-lil/cold-cases-export) pipeline to consolidate the data engineering for preprocessing caselaw so downstream machine
40
+ learning and natural language processing projects can use consistent, high quality representations of cases for legal understanding tasks.
 
41
 
42
  Prepared by the [Harvard Library Innovation Lab](https://lil.law.harvard.edu) in collaboration with the [Free Law Project](https://free.law/).
43
 
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