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@@ -49,6 +49,8 @@ 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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  ---
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  ## File structure
@@ -59,6 +61,8 @@ 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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  ---
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  ## Data dictionary
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  | `ocr` | Whether or not the opinion was captured via optical character recognition. |
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  | `court_short_name` | Short name of court presiding over case. |
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  | `court_full_name` | Full name of court presiding over case. |
 
 
 
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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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  ## File structure
 
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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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  ---
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  ## Data dictionary
 
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  | `ocr` | Whether or not the opinion was captured via optical character recognition. |
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  | `court_short_name` | Short name of court presiding over case. |
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  | `court_full_name` | Full name of court presiding over case. |
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+ [☝️ Go back to Summary](#summary)