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README.md
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@@ -105,7 +105,7 @@ This example shows a view that is suitable to compare the results of two differe
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from renumics import spotlight
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df = dataset.to_pandas()
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# spotlight.show(df, dtype={'
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# todo
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```
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You can also save your view configuration in Spotlight in a JSON configuration file by clicking on the respective icon:
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![Save a data curation layout in Spotlight](data/spotlight_save_layout.png "Save a data curation layout in Spotlight")
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We have also set up a Github repo with interactive notebooks that highlight different enrichment possibilities and curation templates. We encourage you to submit a pull request to share your enrichment code and interaction layouts.
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For each instance, there is a Audio for the audio, a string for the path, an integer for the section, a string for the d1p (parameter), a string for the d1v (value),
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a ClassLabel for the label and a ClassLabel for the class.
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```
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{'audio': {'array': array([ 0. , 0.00024414, -0.00024414, ..., -0.00024414,
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0. , 0. ], dtype=float32),
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### Data Fields
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- `audio`: an `datasets.Audio`
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- `path`: a string representing the path of the audio file inside the _tar.gz._-archive.
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- `section`: an integer representing the section, see [Definition](#Description)
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from renumics import spotlight
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df = dataset.to_pandas()
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# spotlight.show(df, dtype={'path': spotlight.Audio, "embeddings_ast-finetuned-audioset-10-10-0.4593": spotlight.Embedding}, layout=ds_builder.config.get_layout(config="standard"))
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# todo
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```
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You can also save your view configuration in Spotlight in a JSON configuration file by clicking on the respective icon:
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[//]: # (todo: create new image -> Spotlight widgets use column "audio" as key in this picture.)
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![Save a data curation layout in Spotlight](data/spotlight_save_layout.png "Save a data curation layout in Spotlight")
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We have also set up a Github repo with interactive notebooks that highlight different enrichment possibilities and curation templates. We encourage you to submit a pull request to share your enrichment code and interaction layouts.
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For each instance, there is a Audio for the audio, a string for the path, an integer for the section, a string for the d1p (parameter), a string for the d1v (value),
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a ClassLabel for the label and a ClassLabel for the class.
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[//]: # (todo: add new data fields)
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```
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{'audio': {'array': array([ 0. , 0.00024414, -0.00024414, ..., -0.00024414,
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0. , 0. ], dtype=float32),
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### Data Fields
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[//]: # (todo: add new data fields)
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- `audio`: an `datasets.Audio`
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- `path`: a string representing the path of the audio file inside the _tar.gz._-archive.
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- `section`: an integer representing the section, see [Definition](#Description)
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