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@@ -63,6 +63,8 @@ GIT_LFS_SKIP_SMUDGE=1 git clone [email protected]:datasets/viddiff/VidDiffBench data/
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  Which puts some `.py` files into the folder `data/`, and skips downloading larger data files.
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  ## Get the data - videos
 
 
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  We get videos from prior works (which should be cited if you use the benchmark - see the last section). The source dataset is in the dataset column `source_dataset`.
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@@ -71,13 +73,13 @@ A few datasets let us redistribute videos, so you can download them from this HF
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  python data/download_data.py
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  ```
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- If you ONLY need 'easy' split, you can skip stop here. It includes the source datasets [Humann](https://caizhongang.com/projects/HuMMan/) (and 'easy' only draws from this data) and [JIGSAWS](https://cirl.lcsr.jhu.edu/research/hmm/datasets/jigsaws_release/).
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  For 'medium' and 'hard' splits, you'll need to download these other datasets from the original source. Here's how to do that:
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  *Download EgoExo4d videos*
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- These are needed for 'medium' and 'hard' splits'. First Request an access key from the [docs](https://docs.ego-exo4d-data.org/getting-started/) (it takes 48hrs). Then follow the instructions to install the CLI download tool `egoexo`. We only need a small number of these videos, so get the uids list from `data/egoexo4d_uids.json` and use `egoexo` to download:
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  ```
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  uids=$(jq -r '.[]' data/egoexo4d_uids.json | tr '\n' ' ' | sed 's/ $//')
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  egoexo -o data/src_EgoExo4D --parts downscaled_takes/448 --uids $uids
@@ -87,7 +89,7 @@ Common issue: remember to put your access key into `~/.aws/credentials`.
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  *Download FineDiving videos*
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- Follow the instructions in [the repo](https://github.com/xujinglin/FineDiving), download the whole thing, and set up a link to it: `ln -s <path_to_fitnediving> data/src_FineDiving`.
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  ## Making the final dataset with videos
 
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  Which puts some `.py` files into the folder `data/`, and skips downloading larger data files.
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  ## Get the data - videos
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+ **some bold text**
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+
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  We get videos from prior works (which should be cited if you use the benchmark - see the last section). The source dataset is in the dataset column `source_dataset`.
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  python data/download_data.py
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  ```
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+ If you ONLY need 'easy' split, you can stop here. The videos includes the source datasets [Humann](https://caizhongang.com/projects/HuMMan/) (and 'easy' only draws from this data) and [JIGSAWS](https://cirl.lcsr.jhu.edu/research/hmm/datasets/jigsaws_release/).
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  For 'medium' and 'hard' splits, you'll need to download these other datasets from the original source. Here's how to do that:
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  *Download EgoExo4d videos*
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+ These are needed for 'medium' and 'hard' splits. First Request an access key from the [docs](https://docs.ego-exo4d-data.org/getting-started/) (it takes 48hrs). Then follow the instructions to install the CLI download tool `egoexo`. We only need a small number of these videos, so get the uids list from `data/egoexo4d_uids.json` and use `egoexo` to download:
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  ```
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  uids=$(jq -r '.[]' data/egoexo4d_uids.json | tr '\n' ' ' | sed 's/ $//')
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  egoexo -o data/src_EgoExo4D --parts downscaled_takes/448 --uids $uids
 
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  *Download FineDiving videos*
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+ These are needed for 'medium' split. Follow the instructions in [the repo](https://github.com/xujinglin/FineDiving), download the whole thing, and set up a link to it: `ln -s <path_to_fitnediving> data/src_FineDiving`.
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  ## Making the final dataset with videos