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@@ -42,7 +42,7 @@ Prepared by the [Harvard Library Innovation Lab](https://lil.law.harvard.edu) in
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  - [Data nutrition label](https://datanutrition.org/labels/v3/?id=c29976b2-858c-4f4e-b7d0-c8ef12ce7dbe) (DRAFT). ([Archive](https://perma.cc/YV5P-B8JL)).
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  - [Pipeline source code](https://github.com/harvard-lil/cold-cases-export)
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- ## Table of Contents
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  - [Formats](#formats)
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  - [File structure](#file-structure)
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  - [Data dictionary](#data-dictionary)
@@ -70,7 +70,7 @@ Parquet has more limited support outside the Python and JVM ecosystems, however.
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  See: https://parquet.apache.org/
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- [☝️ Go back to Summary](#summary)
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  ---
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@@ -82,7 +82,7 @@ Both of these datasets were exported by the same system based on [Apache Spark](
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  - **.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](https://www.gnu.org/software/gzip/).
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  - **Hidden `.crc` files**: These can be used to verify that the data transferred correctly and otherwise ignored.
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- [☝️ Go back to Summary](#summary)
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  ---
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@@ -120,7 +120,7 @@ Partial glossary of the fields in the data.
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  | `opinions.opinion_text` | Actual full text of the opinion. |
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  | `opinions.ocr` | Whether the opinion was captured via optical character recognition or born-digital text. |
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- [☝️ Go back to Summary](#summary)
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  ## Notes on appropriate use
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@@ -136,4 +136,6 @@ When using this data, please keep in mind:
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  the skill typically provided by lawyers -- rather than simple data retrieval.
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  To mitigate privacy risks, we have filtered out cases [blocked or deindexed by CourtListener](https://www.courtlistener.com/terms/#removal). Researchers who
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- require access to the full dataset without that filter may rerun our pipeline on CourtListener's raw data.
 
 
 
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  - [Data nutrition label](https://datanutrition.org/labels/v3/?id=c29976b2-858c-4f4e-b7d0-c8ef12ce7dbe) (DRAFT). ([Archive](https://perma.cc/YV5P-B8JL)).
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  - [Pipeline source code](https://github.com/harvard-lil/cold-cases-export)
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+ ## Table of Contents
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  - [Formats](#formats)
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  - [File structure](#file-structure)
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  - [Data dictionary](#data-dictionary)
 
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  See: https://parquet.apache.org/
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+ [☝️ Go back to Summary](#table-of-contents)
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  ---
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  - **.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](https://www.gnu.org/software/gzip/).
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  - **Hidden `.crc` files**: These can be used to verify that the data transferred correctly and otherwise ignored.
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+ [☝️ Go back to Summary](#table-of-contents)
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  ---
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  | `opinions.opinion_text` | Actual full text of the opinion. |
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  | `opinions.ocr` | Whether the opinion was captured via optical character recognition or born-digital text. |
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+ [☝️ Go back to Summary](#table-of-contents)
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  ## Notes on appropriate use
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  the skill typically provided by lawyers -- rather than simple data retrieval.
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  To mitigate privacy risks, we have filtered out cases [blocked or deindexed by CourtListener](https://www.courtlistener.com/terms/#removal). Researchers who
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+ require access to the full dataset without that filter may rerun our pipeline on CourtListener's raw data.
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+
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+ [☝️ Go back to Summary](#table-of-contents)