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@@ -20,15 +20,18 @@ This system consists of three main scripts (01_train.sh, 02a_test.sh, and 02b_te
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- data\_download\_2024dev.sh
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- "Development dataset":
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- This script downloads development data files and puts them into "data/dcase2024t2/dev\_data/raw/train/" and "data/dcase2024t2/dev\_data/raw/test/".
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- data\_download\_2024add.sh **Newly added!!**
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- data\_download\_2024add.sh **Updated on (2024/05/15)**
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- "Additional train dataset for Evaluation":
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- This script downloads Addition data files and puts them into "data/dcase2024t2/eval\_data/raw/train/". **Newly added!!**
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- This script downloads Addition data files and puts them into "data/dcase2024t2/eval\_data/raw/train/". **Updated on (2024/05/15)**
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- data\_download\_2024eval.sh **Newly added!!**
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- "Additional test dataset for Evaluation"
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- This script downloads evaluation data files and puts them into "data/dcase2024t2/eval\_data/raw/test".
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- 01_train_2024t2.sh
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- "Development" mode:
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- This script trains a model for each machine type for each section ID by using the directory `data/dcase2024t2/dev_data/raw/<machine_type>/train/<section_id>`.
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- "Evaluation" mode:
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- This script trains a model for each machine type for each section ID by using the directory `data/dcase2024t2/eval_data/raw/<machine_type>/train/<section_id>`. **Newly added!!**
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- This script trains a model for each machine type for each section ID by using the directory `data/dcase2024t2/eval_data/raw/<machine_type>/train/<section_id>`. **Updated on (2024/05/15)**
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- 02a_test_2024t2.sh (Use MSE as a score function for the Simple Autoencoder mode)
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- "Development" mode:
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- This script makes a CSV file for each section, including the anomaly scores for each wav file in the directories `data/dcase2024t2/dev_data/raw/<machine_type>/test/`.
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- The CSV files will be stored in the directory `results/`.
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- It also makes a csv file including AUC, pAUC, precision, recall, and F1-score for each section.
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- "Evaluation" mode: **Newly added!!**
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- This script makes a CSV file for each section, including the anomaly scores for each wav file in the directories `data/dcase2024t2/eval_data/raw/<machine_type>/test/`. (These directories will be made available with the "evaluation dataset".)
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- The CSV files are stored in the directory `results/`.
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- 03_summarize_results.sh
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- This script summarizes results into a CSV file.
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@@ -64,6 +70,8 @@ We will launch the datasets in three stages. Therefore, please download the data
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+ "Additional Training Dataset", i.e., the evaluation dataset for training
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+~~Download "eval\_data_<machine_type>_train.zip" from [https://zenodo.org/records/11183284](https://zenodo.org/records/11183284). **Updated on (2024/05/15)**~~
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+ Download "eval\_data_<machine_type>_\[train\|train_r2\].zip" from [https://zenodo.org/records/11259435](https://zenodo.org/records/11259435). **New! 2023/05/24**
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+ "Evaluation Dataset", i.e., the evaluation dataset for test
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+ Download "eval\_data_<machine_type>_test.zip" from [https://zenodo.org/records/11363076](https://zenodo.org/records/11363076).
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+ For DCASE 2023 Challenge Task 2
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+ ...
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+ section\_00\_target\_train\_normal\_0009\_.wav
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+ attributes\_00.csv (attributes CSV for section 00)
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+ test/ (after launch of the evaluation dataset)
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+ section\_00\_test\_0000.wav
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+ ...
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+ section\_00\_test\_0199.wav
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+\<machine\_type1\_of\_additional\_dataset\> (The other machine types have the same directory structure as \<machine\_type0\_of\_additional\_dataset\>/.)
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### 4. Change parameters
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