fix additional training data (#12)

* Update README.md

* Update README_legacy.md

* supported additional training dataset

* Update README.md

* fix additional training data

---------

Co-authored-by: Noboru Harada <64912994+noboru2000@users.noreply.github.com>

README.md

@@ -61,8 +61,10 @@ We will launch the datasets in three stages. Therefore, please download the data
   + DCASE 2024 Challenge Task 2
     + "Development Dataset" **New! (2024/04/01)**
       + Download "dev\_data_<machine_type>.zip" from [https://zenodo.org/records/10902294](https://zenodo.org/records/10902294).
-    + "Additional Training Dataset", i.e., the evaluation dataset for training  **New! (2024/05/15)**
-      + Download "eval\_data_<machine_type>_train.zip" from [https://zenodo.org/records/11183284](https://zenodo.org/records/11183284).
+    + "Additional Training Dataset", i.e., the evaluation dataset for training
+      + ~~Download "eval\_data_<machine_type>_train.zip" from [https://zenodo.org/records/11183284](https://zenodo.org/records/11183284). **Updated on (2024/05/15)**~~
+      + Download "eval\_data_<machine_type>_\[train\|train_r2\].zip" from [https://zenodo.org/records/11259435](https://zenodo.org/records/11259435). **New! 2023/05/24**
+
 
   + For DCASE 2023 Challenge Task 2
 	(C.f., for DCASE2023T2, see [README_legacy](README_legacy.md))
@@ -280,6 +282,16 @@ We developed and tested the source code on Ubuntu 20.04.4 LTS.
 - fasteners == 0.18
 
 ## Change Log
+### [3.1.1](https://github.com/nttcslab/dcase2023_task2_baseline_ae/releases/tag/v3.1.1)
+
+#### Updated the Zenodo link for the DCASE2024T2 additional training dataset
+
+- We have corrected the Additional training datasets data used in DCASE2024T2.
+  - eval_data_3DPrinter_train.zip and eval_data_RoboticArm_train.zip were replaced with eval_data_3DPrinter_train_r2.zip and eval_data_RoboticArm_train_r2.zip
+  - For the other machine types, data files are identical.
+  - This version reflects the update on the additional training dataset.
+
+
 ### [3.1.0](https://github.com/nttcslab/dcase2023_task2_baseline_ae/releases/tag/v3.1.0)
 
 #### Added
@@ -336,6 +348,7 @@ You can calculate AUC and other score if add ground truth to evaluation datasets
 
 - [DCASE2023 task2](datasets/eval_data_list_2023.csv)
 
+
 ## Truth attribute of evaluation data
 
 ### Public ground truth

data_download_2024add.sh

@@ -1,9 +1,25 @@
-mkdir -p "data/dcase2023t2/eval_data/raw"
+mkdir -p "data/dcase2024t2/eval_data/raw"
 
 # download eval data
 cd "data/dcase2024t2/eval_data/raw"
-for machine_type in 3DPrinter AirCompressor Scanner ToyCircuit HoveringDrone HairDryer ToothBrush RoboticArm BrushlessMotor; do
-wget "https://zenodo.org/records/11183284/files/eval_data_${machine_type}_train.zip"
-unzip "eval_data_${machine_type}_train.zip"
+
+# for machine_type in 3DPrinter AirCompressor Scanner ToyCircuit HoveringDrone HairDryer ToothBrush RoboticArm BrushlessMotor; do
+# wget "https://zenodo.org/records/11183284/files/eval_data_${machine_type}_train.zip"
+# unzip "eval_data_${machine_type}_train.zip"
+# done
+
+for machine_type in \
+    3DPrinter_train_r2 \
+    AirCompressor_train \
+    Scanner_train \
+    ToyCircuit_train \
+    HoveringDrone_train \
+    HairDryer_train \
+    ToothBrush_train \
+    RoboticArm_train_r2 \
+    BrushlessMotor_train \
+; do
+wget "https://zenodo.org/records/11259435/files/eval_data_${machine_type}.zip"
+unzip "eval_data_${machine_type}.zip"
 done
 

datasets/download_path_2024.yaml

@@ -22,28 +22,28 @@ DCASE2024T2:
       - https://zenodo.org/record/10902294/files/dev_valve.zip
   3DPrinter:
     eval:
-      - https://zenodo.org/records/11183284/files/eval_data_3DPrinter_train.zip
+      - https://zenodo.org/records/11259435/files/eval_data_3DPrinter_train_r2.zip
   AirCompressor:
     eval:
-      - https://zenodo.org/records/11183284/files/eval_data_AirCompressor_train.zip
+      - https://zenodo.org/records/11259435/files/eval_data_AirCompressor_train.zip
   Scanner:
     eval:
-      - https://zenodo.org/records/11183284/files/eval_data_Scanner_train.zip
+      - https://zenodo.org/records/11259435/files/eval_data_Scanner_train.zip
   ToyCircuit:
     eval:
-      - https://zenodo.org/records/11183284/files/eval_data_ToyCircuit_train.zip
+      - https://zenodo.org/records/11259435/files/eval_data_ToyCircuit_train.zip
   HoveringDrone:
     eval:
-      - https://zenodo.org/records/11183284/files/eval_data_HoveringDrone_train.zip
+      - https://zenodo.org/records/11259435/files/eval_data_HoveringDrone_train.zip
   HairDryer:
     eval:
-      - https://zenodo.org/records/11183284/files/eval_data_HairDryer_train.zip
+      - https://zenodo.org/records/11259435/files/eval_data_HairDryer_train.zip
   ToothBrush:
     eval:
-      - https://zenodo.org/records/11183284/files/eval_data_ToothBrush_train.zip
+      - https://zenodo.org/records/11259435/files/eval_data_ToothBrush_train.zip
   RoboticArm:
     eval:
-      - https://zenodo.org/records/11183284/files/eval_data_RoboticArm_train.zip
+      - https://zenodo.org/records/11259435/files/eval_data_RoboticArm_train_r2.zip
   BrushlessMotor:
     eval:
-      - https://zenodo.org/records/11183284/files/eval_data_BrushlessMotor_train.zip
+      - https://zenodo.org/records/11259435/files/eval_data_BrushlessMotor_train.zip