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@@ -65,45 +65,7 @@ conda install "ffmpeg<5" -c conda-forge
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  ## Processing the data:
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- You need the download the meta data from [HF](https://huggingface.co/datasets/tiiuae/visper), this includes ```train.tar.gz``` and ```test.tar,gz```. Then, use the provided metadata to process the raw data for creating the ViSpeR dataset. You can use the ```crop_videos.py``` to process the data, note that all clips are cropped and transformed
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- | Languages | Split | Link |
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- |----------|---------------|----------------|
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- | en,fr, es, ar, cz | train | [train](https://huggingface.co/datasets/tiiuae/visper/train.tar.gz) |
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- | en,fr, es, ar, cz | test | [test](https://huggingface.co/tiiuae/visper/test.tar.gz) |
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-
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- ```bash
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- python crop_videos.py --video_dir [path_to_data_language] --save_path [save_path_language] --json [language_metadata.json] --use_ffmpeg True
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- ```
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-
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- ```bash
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- ViSpeR/
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- β”œβ”€β”€ Chinese/
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- β”‚ β”œβ”€β”€ video_id/
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- β”‚ β”‚ │── 00001.mp4
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- β”‚ β”‚ │── 00001.json
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- β”‚ └── ...
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- β”œβ”€β”€ Arabic/
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- β”‚ β”œβ”€β”€ video_id/
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- β”‚ β”‚ │── 00001.mp4
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- β”‚ β”‚ │── 00001.json
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- β”‚ └── ...
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- β”œβ”€β”€ French/
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- β”‚ β”œβ”€β”€ video_id/
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- β”‚ β”‚ │── 00001.mp4
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- β”‚ β”‚ │── 00001.json
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- β”‚ └── ...
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- β”œβ”€β”€ Spanish/
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- β”‚ β”œβ”€β”€ video_id/
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- β”‚ β”‚ │── 00001.mp4
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- β”‚ β”‚ │── 00001.json
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- β”‚ └── ...
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-
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- ```
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- The ```video_id/xxxx.json``` has the 'label' of the corresponding video ```video_id/xxxx.mp4```.
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  ## Intended Use
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  ## Processing the data:
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+ Please refer to our for further details [visper github](https://huggingface.co/datasets/tiiuae/visper/blob/main/french_train.tar.gz)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Intended Use
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