Add Hindi हिन्दी and Arabic العربية Docs translations (#6428)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -8,7 +8,7 @@ keywords: Argoverse dataset, autonomous driving, YOLO, 3D tracking, motion forec
The [Argoverse](https://www.argoverse.org/) dataset is a collection of data designed to support research in autonomous driving tasks, such as 3D tracking, motion forecasting, and stereo depth estimation. Developed by Argo AI, the dataset provides a wide range of high-quality sensor data, including high-resolution images, LiDAR point clouds, and map data.
!!! note
!!! Note
The Argoverse dataset *.zip file required for training was removed from Amazon S3 after the shutdown of Argo AI by Ford, but we have made it available for manual download on [Google Drive](https://drive.google.com/file/d/1st9qW3BeIwQsnR0t8mRpvbsSWIo16ACi/view?usp=drive_link).
@ -35,7 +35,7 @@ The Argoverse dataset is widely used for training and evaluating deep learning m
A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. For the case of the Argoverse dataset, the `Argoverse.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/Argoverse.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/Argoverse.yaml).
!!! example "ultralytics/cfg/datasets/Argoverse.yaml"
!!! Example "ultralytics/cfg/datasets/Argoverse.yaml"
```yaml
--8<-- "ultralytics/cfg/datasets/Argoverse.yaml"
@ -45,7 +45,7 @@ A YAML (Yet Another Markup Language) file is used to define the dataset configur
To train a YOLOv8n model on the Argoverse dataset for 100 epochs with an image size of 640, you can use the following code snippets. For a comprehensive list of available arguments, refer to the model [Training](../../modes/train.md) page.
!!! example "Train Example"
!!! Example "Train Example"
=== "Python"
@ -80,7 +80,7 @@ The example showcases the variety and complexity of the data in the Argoverse da
If you use the Argoverse dataset in your research or development work, please cite the following paper:
!!! note ""
!!! Note ""
=== "BibTeX"