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Update README.md

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@@ -12,8 +12,12 @@ from huggingface_hub import snapshot_download
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  import pandas as pd
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  import matplotlib.pyplot as plt
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  snapshot_download(repo_id="Aborevsky01/CLEVR-BT-DB", repo_type="dataset", local_dir='path-to-your-local-dir')
 
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  !unzip [path-to-your-local-dir]/[type-of-task]/images.zip
 
 
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  plt.imshow(plt.imread('[path-to-your-local-dir]/images/test/Reason_0.png'))
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  print(pd.read_csv('[path-to-your-local-dir]/[type-of-task]/Reason_test_questions.csv').iloc[0].question)
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  print([str(line) for line in open('[path-to-your-local-dir]/[type-of-task]/correct_answ.txt', 'rb')][0])
 
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  import pandas as pd
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  import matplotlib.pyplot as plt
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+ # First step: download an entire datatset
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  snapshot_download(repo_id="Aborevsky01/CLEVR-BT-DB", repo_type="dataset", local_dir='path-to-your-local-dir')
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+ # Second step: unarchive the images for VQA
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  !unzip [path-to-your-local-dir]/[type-of-task]/images.zip
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+
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+ # Example of the triplet (image - question - answer)
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  plt.imshow(plt.imread('[path-to-your-local-dir]/images/test/Reason_0.png'))
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  print(pd.read_csv('[path-to-your-local-dir]/[type-of-task]/Reason_test_questions.csv').iloc[0].question)
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  print([str(line) for line in open('[path-to-your-local-dir]/[type-of-task]/correct_answ.txt', 'rb')][0])