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[Fix] Update files related to mim download dataset (open-mmlab#2635)
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‎dataset-index.yml‎

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@@ -1,39 +1,40 @@
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openxlab: true
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kinetics400:
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dataset: Kinetics-400
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dataset: OpenMMLab/Kinetics-400
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download_root: data
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data_root: data/kinetics400
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script: tools/data/kinetics/k400_preprocess.sh
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script: tools/data/kinetics/preprocess_k400.sh
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kinetics600:
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dataset: Kinetics600
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dataset: OpenMMLab/Kinetics600
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download_root: data
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data_root: data/kinetics600
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script: tools/data/kinetics/k600_preprocess.sh
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script: tools/data/kinetics/preprocess_k600.sh
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kinetics700:
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dataset: Kinetics_700
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dataset: OpenMMLab/Kinetics_700
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download_root: data
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data_root: data/kinetics700
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script: tools/data/kinetics/k700_preprocess.sh
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script: tools/data/kinetics/preprocess_k700.sh
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sthv2:
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dataset: sthv2
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dataset: OpenDataLab/sthv2
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download_root: data
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data_root: data/sthv2
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script: tools/data/sthv2/preprocess.sh
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ucf-101:
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dataset: UCF101
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dataset: OpenDataLab/UCF101
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download_root: data
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data_root: data/ucf101
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finegym:
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dataset: FineGym
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dataset: OpenDataLab/FineGym
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download_root: data
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data_root: data/gym
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diving48:
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dataset: diving48
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dataset: OpenDataLab/diving48
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download_root: data
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data_root: data/diving48
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script: tools/data/diving48/preprocess.sh

‎tools/data/diving48/README.md‎

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@@ -21,10 +21,10 @@ For basic dataset information, you can refer to the official dataset [website](h
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````{group-tab} Download by MIM
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MIM supports downloading from OpenDataLab and preprocessing Diving48 dataset with one command line.
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```Bash
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# install OpenDataLab CLI tools
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pip install -U opendatalab
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# log in OpenDataLab
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odl login
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# install OpenXlab CLI tools
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pip install -U openxlab
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# log in OpenXLab
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openxlab login
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# download and preprocess by MIM
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mim download mmaction2 --dataset diving48
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```

‎tools/data/diving48/README_zh-CN.md‎

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````{group-tab} 使用 MIM 下载
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# MIM 支持下载 Diving48 数据集。用户可以通过一行命令，从 OpenDataLab 进行下载，并进行预处理。
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```Bash
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# 安装 OpenDataLab CLI 工具
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pip install -U opendatalab
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# 登录 OpenDataLab
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odl login
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# 安装 OpenXLab CLI 工具
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pip install -U openxlab
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# 登录 OpenXLab
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openxlab login
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# 通过 MIM 进行数据集下载，预处理。注意这将花费较长时间
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mim download mmaction2 --dataset diving48
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```

‎tools/data/diving48/preprocess.sh‎

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DOWNLOAD_DIR=$1
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DATA_ROOT=$2
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cat $DOWNLOAD_DIR/diving48/raw/*.tar.gz.* | tar -xvz -C $(dirname $DATA_ROOT)
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cat $DOWNLOAD_DIR/OpenDataLab___diving48/raw/*.tar.gz.* | tar -xvz -C $(dirname $DATA_ROOT)
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tar -xvf $DATA_ROOT/diving48.tar -C $(dirname $DATA_ROOT)
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rm $DATA_ROOT/diving48.tar

‎tools/data/kinetics/README.md‎

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@@ -38,10 +38,10 @@ All experiments on Kinetics in MMAction2 are based on this version, we recommend
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MIM supports downloading from OpenDataLab and preprocessing Kinetics-400/600/700 dataset with one command line.
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```Bash
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# install OpenDataLab CLI tools
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pip install -U opendatalab
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# log in OpenDataLab
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odl login
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# install OpenXlab CLI tools
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pip install -U openxlab
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# log in OpenXLab
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openxlab login
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# download and preprocess Kinetics-400 by MIM. Note that this might take a long time.
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mim download mmaction2 --dataset kinetics400
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# download and preprocess Kinetics-600 by MIM. Note that this might take a long time.

‎tools/data/kinetics/README_zh-CN.md‎

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@@ -36,10 +36,10 @@ MMAction2 代码仓库中提供的 Kinetics 实验性能，都是基于这个版
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# MIM 支持下载 Kinetics-400/600/700 数据集。用户可以通过一行命令，从 OpenDataLab 进行下载，并进行预处理。
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```Bash
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# 安装 OpenDataLab CLI 工具
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pip install -U opendatalab
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# 登录 OpenDataLab
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odl login
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# 安装 OpenXLab CLI 工具
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pip install -U openxlab
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# 登录 OpenXLab
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openxlab login
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# 通过 MIM 进行 Kinetics-400 数据集下载，预处理。注意这将花费较长时间
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mim download mmaction2 --dataset kinetics400
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# 通过 MIM 进行 Kinetics-600 数据集下载，预处理。注意这将花费较长时间

‎tools/data/kinetics/preprocess_k400.sh‎

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DOWNLOAD_DIR=$1
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DATA_ROOT=$2
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cat $DOWNLOAD_DIR/Kinetics-400/raw/*.tar.gz* | tar -xvz -C $(dirname $DATA_ROOT)
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cat $DOWNLOAD_DIR/OpenMMLab___Kinetics-400/raw/*.tar.gz* | tar -xvz -C $(dirname $DATA_ROOT)
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mv $(dirname $DATA_ROOT)/Kinetics-400 $DATA_ROOT

‎tools/data/kinetics/preprocess_k600.sh‎

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DOWNLOAD_DIR=$1
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DATA_ROOT=$2
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cat $DOWNLOAD_DIR/Kinetics600/raw/*.tar.gz* | tar -xvz -C $(dirname $DATA_ROOT)
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cat $DOWNLOAD_DIR/OpenMMLab___Kinetics600/raw/*.tar.gz* | tar -xvz -C $(dirname $DATA_ROOT)
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mv $(dirname $DATA_ROOT)/Kinetics600 $DATA_ROOT

‎tools/data/kinetics/preprocess_k700.sh‎

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DOWNLOAD_DIR=$1
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DATA_ROOT=$2
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cat $DOWNLOAD_DIR/Kinetics_700/raw/*.tar.gz* | tar -xvz -C $(dirname $DATA_ROOT)
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cat $DOWNLOAD_DIR/OpenMMLab___Kinetics_700/raw/*.tar.gz* | tar -xvz -C $(dirname $DATA_ROOT)
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mv $(dirname $DATA_ROOT)/Kinetics_700 $DATA_ROOT

‎tools/data/kinetics710/README.md‎

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Kinetics-710 is a video benchmark based on Kinetics-400/600/700, which merges the training set of these Kinetics datasets, and deletes the repeated videos according to Youtube IDs. MMAction2 provides an annotation file based on the Kinetics-400/600/700 on [OpenDataLab](https://opendatalab.com/). So we suggest you download Kinetics-400/600/700 first from OpenDataLab by [MIM](https://github.com/open-mmlab/mim).
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```shell
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# install OpenDataLab CLI tools
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pip install -U opendatalab
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# log in OpenDataLab
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odl login
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# install OpenXlab CLI tools
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pip install -U openxlab
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# log in OpenXLab
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openxlab login
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# download Kinetics-400/600/700, note that this might take a long time.
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mim download mmaction2 --dataset kinetics400
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mim download mmaction2 --dataset kinetics600

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