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Fixed an error in a function for downloading the Additional Training Dataset (#23)
* Updated DCASE2025 Task2 * Update README.md Fixed some typos * Previous DCASE scripts have been unified into legacy * Added support for Additional training dataset * Fixed the function to download datasets --------- Co-authored-by: Noboru Harada <64912994+noboru2000@users.noreply.github.com>
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README.md

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@@ -328,6 +328,13 @@ We developed and tested the source code on Ubuntu 22.04.5 LTS.
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## Change Log
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### [4.1.1](https://github.com/nttcslab/dcase2023_task2_baseline_ae/releases/tag/v4.1.1)
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#### Fixed the function to download datasets
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- Fixed an error that occurred when using the automatic download function.
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- The path to unzip the DCASE2025T2 Additional training dataset was incorrect. Fixed the issue in data_download_2025add.sh.
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### [4.1.0](https://github.com/nttcslab/dcase2023_task2_baseline_ae/releases/tag/v4.1.0)
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#### Added

data_download_2025add.sh

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@@ -13,5 +13,5 @@ for machine_type in \
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"CoffeeGrinder" \
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; do
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wget "https://zenodo.org/records/15392814/files/eval_data_${machine_type}_train.zip"
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unzip "eval_${machine_type}_train.zip"
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unzip "eval_data_${machine_type}_train.zip"
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done

datasets/loader_common.py

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for split_data_path in split_data_path_list:
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shutil.copytree(split_data_path, test_data_path, dirs_exist_ok=True)
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if data_type == "eval":
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if data_type == "eval" and dataset != "DCASE2025T2":
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rename_wav(
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dataset_parent_dir=root,
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dataset_type=dataset,

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