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metadata
license: cc0-1.0
language:
  - en
tags:
  - united states
  - law
  - legal
  - court
  - opinions

Collaborative Open Legal Data (COLD) - Cases

Re-packaged bulk data from courtlistener.com, allowing for easy batch processing of open legal data, for example in the context of data science / AI experiments.

Prepared by the Harvard Library Innovation Lab in collaboration with the Free Law Project.


Summary


Formats

We've released this data in two different formats:

JSON-L or JSON Lines

This format consists of a JSON document for every row in the dataset, one per line. This makes the data really easy to take a selection of the data or split it out into multiple files for parallel processing using ordinary command line tools such as head, split and jq.

Most JSON parsers are unable to easily stream through an enormous JSON array without loading the whole document in RAM or using more difficult APIs, so writing the data as an enormous JSON arrray would make it unwieldy.

Also, just about any language you can think of has a ready way to parse JSON data, which makes this version of the dataset more compatible.

See: https://jsonlines.org/

Apache Parquet

Parquet is binary format that makes filtering and retrieving the data quicker because it lays out the data in columns, which means columns that are unnecessary to satisfy a given query or workflow don't need to be read.

Parquet has more limited support outside the Python and JVM ecosystems, however.

See: https://parquet.apache.org/

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File structure

Both of these datasets were exported by the same system based on Apache Spark, so within each subdirectory, you'll find a similar list of files:

  • _SUCCESS: This indicates that the job that built the dataset ran successfully and therefore this is a complete dataset.
  • .json.gz or .gz.parquet: Each of these is a slice of the full dataset, encoded in JSON-L or Parquet, and compressed with GZip.
  • Hidden .crc files: These can be used to verify that the data transferred correctly and otherwise ignored.

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Data dictionary

Partial glossary of the fields in the data.

Field name Description
judges Names of judges presiding over the case, extracted from the text.
date_filed Date the case was filed. Formatted in ISO Date format.
date_filed_is_approximate Boolean representing whether or not the date_filed values are definitively correct.
slug Short, human-readable unique string nickname for the case.
case_name_short Short name for the case.
case_name Fuller name for the case.
case_name_full Full, formal name for the case.
attorneys Names of attorneys arguing the case, extracted from the text.
nature_of_suit Free text representinng ype of suit, such as Civil, Tort, etc.
syllabus Summary of the questions addressed by the court in the decision.
headnotes Textural headnotes of the case
summary Textural summary of the case
disposition How the court disposed of the case in their final ruling.
history Textural information about what happened to this case in later decisions.
other_dates Other dates related to the case in free text.
cross_reference Citations to related cases.
citation_count Number of cases that cite this one.
precedential_status Constrainted to the values "Published", "Unknown", "Errata", "Unpublished", "Relating-to", "Separate", "In-chambers"
citations Cases that cite this case.
opinions An array of subrecords with the following fields:
author_str Name of the author of an individual opinion
per_curiam Boolean representing whether the opinion was delivered by an entire court or a single judge
type One of "010combined", "015unamimous", "020lead", "025plurality", "030concurrence", "035concurrenceinpart", "040dissent", "050addendum", "060remittitur", "070rehearing", "080onthemerits", "090onmotiontostrike"
opinion_text Actual full text of the opinion.
ocr Whether or not the opinion was captured via optical character recognition.
court_short_name Short name of court presiding over case.
court_full_name Full name of court presiding over case.

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