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54faaed230 |
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@ -101,7 +101,7 @@
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ignore_init_summary: false
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trim_doctest_flags: true
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:::: docetl.schemas.CodeMapOp
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::: docetl.schemas.CodeMapOp
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options:
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show_root_heading: true
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heading_level: 3
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@ -110,7 +110,7 @@
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ignore_init_summary: false
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trim_doctest_flags: true
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:::: docetl.schemas.CodeReduceOp
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::: docetl.schemas.CodeReduceOp
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options:
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show_root_heading: true
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heading_level: 3
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@ -119,7 +119,7 @@
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ignore_init_summary: false
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trim_doctest_flags: true
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:::: docetl.schemas.CodeFilterOp
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::: docetl.schemas.CodeFilterOp
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options:
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show_root_heading: true
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heading_level: 3
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@ -128,7 +128,7 @@
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ignore_init_summary: false
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trim_doctest_flags: true
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:::: docetl.schemas.ExtractOp
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::: docetl.schemas.ExtractOp
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options:
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show_root_heading: true
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heading_level: 3
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@ -36,7 +36,7 @@ DocETL uses [LiteLLM](https://github.com/BerriAI/litellm) under the hood, which
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## Preparing the Data
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Organize your medical transcript data in a JSON file as a list of objects. Each object should have a "src" key containing the transcript text. You can download the example dataset [here](../assets/medical_transcripts.json).
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Organize your medical transcript data in a JSON file as a list of objects. Each object should have a "src" key containing the transcript text. You can download the example dataset [here](assets/medical_transcripts.json).
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!!! example "Sample Data Structure"
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@ -167,5 +167,5 @@ markdown_extensions:
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- pymdownx.details
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- attr_list
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- pymdownx.emoji:
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emoji_index: !!python/name:materialx.emoji.twemoji
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emoji_generator: !!python/name:materialx.emoji.to_svg
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emoji_index: !!python/name:material.extensions.emoji.twemoji
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emoji_generator: !!python/name:material.extensions.emoji.to_svg
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