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@@ -62,7 +62,7 @@ Put them under the dir of this project (or any other position if you use absolut
 ## Tracklet data for VidOR 
 
 - Download the I3D feature of train & val videos (used for grounding stage) at [here](https://mega.nz/folder/FAxh0CiC#2zLOovjX8epdgMq5rXwEhg)
-- Download the pre-prepared cache data for VidOR-val ([here](https://mega.nz/folder/VcwA1DaI#YW2M_uFsbsE6twHDIpfPuw), around 19G), VidOR-train ([to be released](), 14 parts in total, around 130G), and put them in `datasets/cache`.
+- Download the pre-prepared cache data for VidOR-val ([here](https://mega.nz/folder/VcwA1DaI#YW2M_uFsbsE6twHDIpfPuw), around 19G), VidOR-train ([here](https://mega.nz/folder/8IBzkKQS#6TXQWikT4HL5LoCnQrpsJA), 14 parts in total, around 126G), and put them in `datasets/cache`.
 - **Some Notes** 
 
     Ideally, you can prepare these cache data from `.npy` files (as did in VidVRD). However, due to some ancient coding reasons, we extract bbox RoI feature for each frame, which makes these `.npy` files too large (**827G** for VidOR-train and **90G** for VidOR-val). Therefore, we only release pre-prepared cache data as above.
@@ -176,7 +176,7 @@ Put them under the dir of this project (or any other position if you use absolut
     - VidVRD-train **Done** dcd MEGA cloud [here](https://mega.nz/folder/1QA31RaK#pEP60O-ENr-5k_9ByoJhag) (13G)
 - cache file for train & val (for vidor)
     - v9 for val (around 19G) (dcd MEGA cloud [here](https://mega.nz/folder/VcwA1DaI#YW2M_uFsbsE6twHDIpfPuw))
-    - v7clsme for train (14 parts, around 130G in total [to be released]())
+    - v7 for train (14 parts, around 126G in total [here](https://mega.nz/folder/8IBzkKQS#6TXQWikT4HL5LoCnQrpsJA))
 - do not release cache file for vidvrd (they can generate them using VidVRD traj `.npy` files)