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albertvillanova HF staff commited on
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ee0b7f6
1 Parent(s): a82f7e6

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

Files changed (1) hide show
  1. README.md +6 -6
README.md CHANGED
@@ -75,9 +75,9 @@ dataset_info:
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  - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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  - **Paper:** [Compressive Transformers for Long-Range Sequence Modelling](https://arxiv.org/abs/1911.05507)
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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:** 11196.60 MB
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- - **Size of the generated dataset:** 10978.29 MB
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- - **Total amount of disk used:** 22174.89 MB
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  ### Dataset Summary
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@@ -106,9 +106,9 @@ One could use this dataset for benchmarking long-range language models, or use i
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  #### default
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- - **Size of downloaded dataset files:** 11196.60 MB
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- - **Size of the generated dataset:** 10978.29 MB
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- - **Total amount of disk used:** 22174.89 MB
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  An example of 'train' looks as follows.
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  ```
 
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  - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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  - **Paper:** [Compressive Transformers for Long-Range Sequence Modelling](https://arxiv.org/abs/1911.05507)
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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:** 11.74 GB
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+ - **Size of the generated dataset:** 11.51 GB
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+ - **Total amount of disk used:** 23.25 GB
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  ### Dataset Summary
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  #### default
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+ - **Size of downloaded dataset files:** 11.74 GB
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+ - **Size of the generated dataset:** 11.51 GB
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+ - **Total amount of disk used:** 23.25 GB
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  An example of 'train' looks as follows.
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  ```