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Convert dataset sizes from base 2 to base 10 in the dataset card

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Convert dataset sizes from base 2 (MiB) to base 10 (MB) in the dataset card, as it is the case in the dataset viewer.
See: https://github.com/huggingface/datasets/issues/5708

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  1. README.md +9 -9
README.md CHANGED
@@ -95,9 +95,9 @@ dataset_info:
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  - **Repository:** https://github.com/armancohan/long-summarization
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  - **Paper:** [A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents](https://arxiv.org/abs/1804.05685)
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  - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- - **Size of downloaded dataset files:** 8591.93 MB
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- - **Size of the generated dataset:** 9622.19 MB
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- - **Total amount of disk used:** 18214.12 MB
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  ### Dataset Summary
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@@ -123,9 +123,9 @@ Both "arxiv" and "pubmed" have two features:
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  #### arxiv
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- - **Size of downloaded dataset files:** 4295.97 MB
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- - **Size of the generated dataset:** 7231.70 MB
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- - **Total amount of disk used:** 11527.66 MB
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  An example of 'train' looks as follows.
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  ```
@@ -140,9 +140,9 @@ This example was too long and was cropped:
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  #### pubmed
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- - **Size of downloaded dataset files:** 4295.97 MB
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- - **Size of the generated dataset:** 2390.49 MB
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- - **Total amount of disk used:** 6686.46 MB
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  An example of 'validation' looks as follows.
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  ```
 
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  - **Repository:** https://github.com/armancohan/long-summarization
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  - **Paper:** [A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents](https://arxiv.org/abs/1804.05685)
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  - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ - **Size of downloaded dataset files:** 9.01 GB
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+ - **Size of the generated dataset:** 10.09 GB
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+ - **Total amount of disk used:** 19.10 GB
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  ### Dataset Summary
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  #### arxiv
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+ - **Size of downloaded dataset files:** 4.50 GB
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+ - **Size of the generated dataset:** 7.58 GB
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+ - **Total amount of disk used:** 12.09 GB
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  An example of 'train' looks as follows.
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  ```
 
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  #### pubmed
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+ - **Size of downloaded dataset files:** 4.50 GB
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+ - **Size of the generated dataset:** 2.51 GB
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+ - **Total amount of disk used:** 7.01 GB
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  An example of 'validation' looks as follows.
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  ```