Syoy commited on
Commit
1d77548
1 Parent(s): d6cff23

removed baseline AE embeddings since dev split was faulty

Browse files
7690148_urls.txt DELETED
@@ -1,7 +0,0 @@
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- https://zenodo.org/record/7690148/files/dev_bearing.zip
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- https://zenodo.org/record/7690148/files/dev_fan.zip
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- https://zenodo.org/record/7690148/files/dev_gearbox.zip
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- https://zenodo.org/record/7690148/files/dev_slider.zip
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- https://zenodo.org/record/7690148/files/dev_ToyCar.zip
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- https://zenodo.org/record/7690148/files/dev_ToyTrain.zip
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- https://zenodo.org/record/7690148/files/dev_valve.zip
 
 
 
 
 
 
 
 
README.md CHANGED
@@ -97,7 +97,7 @@ from renumics import spotlight
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  df = dataset.to_pandas()
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  simple_layout = datasets.load_dataset_builder("renumics/dcase23-task2-enriched", "dev").config.get_layout(config="simple")
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- spotlight.show(df, dtype={'path': spotlight.Audio, "embeddings_ast-finetuned-audioset-10-10-0.4593": spotlight.Embedding, "embeddings_dcase2023_task2_baseline_ae": spotlight.Embedding}, layout=simple_layout)
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  ```
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  You can use the UI to interactively configure the view on the data. Depending on the concrete taks (e.g. model comparison, debugging, outlier detection) you might want to leverage different enrichments and metadata.
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@@ -108,7 +108,7 @@ In this example we focus on the valve class. We specifically look at normal data
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  from renumics import spotlight
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  extended_layout = datasets.load_dataset_builder("renumics/dcase23-task2-enriched", "dev").config.get_layout(config="extended")
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- spotlight.show(df, dtype={'path': spotlight.Audio, "embeddings_ast-finetuned-audioset-10-10-0.4593": spotlight.Embedding, "embeddings_dcase2023_task2_baseline_ae": spotlight.Embedding}, layout=extended_layout)
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  ```
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  ![Analyze DCASE23 Task 2 with Spotlight](data/preview_dcase_2.png "Analyze DCASE23 Task 2 with Spotlight")
@@ -157,9 +157,6 @@ a ClassLabel for the label and a ClassLabel for the class.
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  'ast-finetuned-audioset-10-10-0.4593-embeddings': [0.8152204155921936,
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  1.5862374305725098, ...,
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  1.7154160737991333]
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- 'embeddings_dcase2023_task2_baseline_ae': [12.602639198303223,
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- 16.997364044189453, ...,
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- -0.20931333303451538]
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  }
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  ```
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  df = dataset.to_pandas()
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  simple_layout = datasets.load_dataset_builder("renumics/dcase23-task2-enriched", "dev").config.get_layout(config="simple")
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+ spotlight.show(df, dtype={'path': spotlight.Audio, "embeddings_ast-finetuned-audioset-10-10-0.4593": spotlight.Embedding}, layout=simple_layout)
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  ```
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  You can use the UI to interactively configure the view on the data. Depending on the concrete taks (e.g. model comparison, debugging, outlier detection) you might want to leverage different enrichments and metadata.
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  from renumics import spotlight
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  extended_layout = datasets.load_dataset_builder("renumics/dcase23-task2-enriched", "dev").config.get_layout(config="extended")
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+ spotlight.show(df, dtype={'path': spotlight.Audio, "embeddings_ast-finetuned-audioset-10-10-0.4593": spotlight.Embedding}, layout=extended_layout)
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  ```
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  ![Analyze DCASE23 Task 2 with Spotlight](data/preview_dcase_2.png "Analyze DCASE23 Task 2 with Spotlight")
 
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  'ast-finetuned-audioset-10-10-0.4593-embeddings': [0.8152204155921936,
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  1.5862374305725098, ...,
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  1.7154160737991333]
 
 
 
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  }
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  ```
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dcase23-task2-enriched.py CHANGED
@@ -72,13 +72,6 @@ EMBEDDING_URLS = {
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  "size": (1, 768),
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  "dtype": "float32",
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  },
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- "embeddings_dcase2023_task2_baseline_ae": {
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- "train": "data/PCA_REDUCED_dcase2023_task2_baseline_ae-embeddings_dev_train.npz",
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- "test": "data/PCA_REDUCED_dcase2023_task2_baseline_ae-embeddings_dev_test.npz",
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- # "size": (1, 2976),
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- "size": (1, 512),
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- "dtype": "float32",
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- },
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  },
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  "add": {
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