fix typo in VinVL_DOWNLOAD files downloading

VinVL_DOWNLOAD.md

@@ -3,14 +3,14 @@
 ## Datasets
 We provide the extracted image region features, object tags, and the original text annotations for each downstream tasks.
 ```bash
-path/to/azcopy copy 'https://biglmdiag.blob.core.windows.net/vinvl/datasets/TASK_NAME' <target folder> --resursive
+path/to/azcopy copy 'https://biglmdiag.blob.core.windows.net/vinvl/datasets/TASK_NAME' <target folder> --recursive
 ```
 `TASK_NAME` could be `coco_caption`, `nocaps`, `coco_ir`, `vqa`, `gqa`, `nlvr2`.
 
 ## Pre-trained Models
 We provide pre-trained *Oscar+* models of Bert-base and Bert-large structures, with the name starting with `base` and `large`, respectively.
 ```bash
-path/to/azcopy copy 'https://biglmdiag.blob.core.windows.net/vinvl/model_ckpts/TASK_NAME' <target folder> --resursive
+path/to/azcopy copy 'https://biglmdiag.blob.core.windows.net/vinvl/model_ckpts/TASK_NAME' <target folder> --recursive
 ```
 `TASK_NAME` could be `coco_caption`, `nocaps`, `coco_ir`, `vqa`, `gqa`, `nlvr2`, `od_models`.
 
@@ -27,7 +27,7 @@ Features are stored in tsv (tab-separated-values) format that can be used in [pr
 
 Notice that all the links below are links to a folder. We recommend using the following AzCopy command to download.
 ```
-path/to/azcopy copy <folder-link> <target-address> --resursive"
+path/to/azcopy copy <folder-link> <target-address> --recursive"
 ```
 
 [COCO 2014 Train/Val Image Features (~50G)](https://biglmdiag.blob.core.windows.net/vinvl/image_features/coco_X152C4_frcnnbig2_exp168model_0060000model.roi_heads.nm_filter_2_model.roi_heads.score_thresh_0.2/model_0060000/)