Minor doc updates (#903)

README.md

@@ -110,7 +110,7 @@ Easy option:
 pip install nerfstudio
 ```
 
-If you would want the latest and greatest:
+If you want the latest and greatest:
 
 ```bash
 git clone https://github.com/nerfstudio-project/nerfstudio.git
@@ -135,9 +135,9 @@ If you have custom data in the form of a video or folder of images, we've provid
 After installing both software, you can process your data via:
 
 ```bash
-ns-process-data {video,images,insta360} --data {DATA_PATH} --output-dir {PROCESSED_DATA_DIR}
+ns-process-data {video,images,insta360,record3d} --data {DATA_PATH} --output-dir {PROCESSED_DATA_DIR}
 # Or if you're on a system without an attached display (i.e. colab):
-ns-process-data {video,images,insta360} --data {DATA_PATH}  --output-dir {PROCESSED_DATA_DIR} --no-gpu
+ns-process-data {video,images,insta360,record3d} --data {DATA_PATH}  --output-dir {PROCESSED_DATA_DIR} --no-gpu
 ```
 
 ## 3. Training a model

docs/quickstart/custom_dataset.md

@@ -9,7 +9,7 @@ To assist running on custom data we have a script that will process a video or f
 To process your data run:
 
 ```bash
-ns-process-data {video,images,insta360} --data {DATA_PATH} --output-dir {PROCESSED_DATA_DIR}
+ns-process-data {video,images,insta360,record3d} --data {DATA_PATH} --output-dir {PROCESSED_DATA_DIR}
 ```
 
 A full set of arguments can be found {doc}`here</reference/cli/ns_process_data>`.