Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Commit
•
5fe18c4
1
Parent(s):
33c0018
Convert dataset sizes from base 2 to base 10 in the dataset card (#3)
Browse files- Convert dataset sizes from base 2 to base 10 in the dataset card (18135769b566299112d04b712e1b11aa58b1db36)
README.md
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@@ -104,9 +104,9 @@ 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:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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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:**
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- **Size of the generated dataset:**
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- **Total amount of disk used:**
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### Dataset Summary
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@@ -126,9 +126,9 @@ Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset,
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#### plain_text
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- **Size of downloaded dataset files:**
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- **Size of the generated dataset:**
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- **Total amount of disk used:**
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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:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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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:** 35.14 MB
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- **Size of the generated dataset:** 89.92 MB
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- **Total amount of disk used:** 125.06 MB
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### Dataset Summary
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#### plain_text
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- **Size of downloaded dataset files:** 35.14 MB
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+
- **Size of the generated dataset:** 89.92 MB
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- **Total amount of disk used:** 125.06 MB
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An example of 'train' looks as follows.
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```
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