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Convert dataset sizes from base 2 to base 10 in the dataset card (#4)

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- Convert dataset sizes from base 2 to base 10 in the dataset card (ffcad612ef8b84500389a498e9046f72ce776524)
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Albert Villanova 2023-04-05 10:07:38 +00:00 committed by system
parent 234e99c22b
commit 9c6ede893f
1 changed files with 6 additions and 6 deletions
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README.md
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@ -125,9 +125,9 @@ dataset_info:
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 80.23 MB - **Size of downloaded dataset files:** 84.13 MB
- **Size of the generated dataset:** 127.06 MB - **Size of the generated dataset:** 133.23 MB
- **Total amount of disk used:** 207.28 MB - **Total amount of disk used:** 217.35 MB
### Dataset Summary ### Dataset Summary
@ -148,9 +148,9 @@ This is a dataset for binary sentiment classification containing substantially m
#### plain_text #### plain_text
- **Size of downloaded dataset files:** 80.23 MB - **Size of downloaded dataset files:** 84.13 MB
- **Size of the generated dataset:** 127.06 MB - **Size of the generated dataset:** 133.23 MB
- **Total amount of disk used:** 207.28 MB - **Total amount of disk used:** 217.35 MB
An example of 'train' looks as follows. An example of 'train' looks as follows.
``` ```