Datasets:
Tasks:
Text2Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Commit
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Parent(s):
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README.md
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num_examples: 2067
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download_size: 12661411
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dataset_size: 23201864
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---
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# Dataset Card for "squad-v1.1-t5-question-generation"
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[
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num_examples: 2067
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download_size: 12661411
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dataset_size: 23201864
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annotations_creators:
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- crowdsourced
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language:
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- en
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language_creators:
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- crowdsourced
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license:
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- cc-by-4.0
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multilinguality:
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- monolingual
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pretty_name: Question Generation for T5 based on Squad V1.1
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size_categories:
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- 10K<n<100K
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source_datasets:
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- extended|squad
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tags:
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- questiongeneration
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- question-generation
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- text2text-generation
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task_categories:
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- text2text-generation
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task_ids: []
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---
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# Dataset Card for "squad-v1.1-t5-question-generation"
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## Dataset Description
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- **Homepage:** [https://rajpurkar.github.io/SQuAD-explorer/](https://rajpurkar.github.io/SQuAD-explorer/)
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- **Paper:** [SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://arxiv.org/abs/1606.05250)
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### Dataset Summary
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This is a modified Stanford Question Answering Dataset (SQuAD) to suit question generation with All Questions in One Line (AQOL) just like in [Transformer-based End-to-End Question Generation](https://arxiv.org/pdf/2005.01107v1.pdf)
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specifically for the T5 family of models. The prefix is `generate questions: `.
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### Supported Tasks and Leaderboards
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Languages
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## Dataset Structure
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### Data Instances
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#### plain_text
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An example of 'train' looks as follows.
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```
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{
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"context": "generate questions: This is a test context.",
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"question": "Is this a test? {sep_token} Is this another Test {sep_token}"
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}
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```
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### Data Fields
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The data fields are the same among all splits.
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#### plain_text
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- `context`: a `string` feature.
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- `question`: a `string` feature.
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### Data Splits
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| name |train|validation|
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|----------|----:|---------:|
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|plain_text|18896| 2067|
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### Citation Information
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```
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@article{2016arXiv160605250R,
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author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
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Konstantin and {Liang}, Percy},
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title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}",
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journal = {arXiv e-prints},
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year = 2016,
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eid = {arXiv:1606.05250},
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pages = {arXiv:1606.05250},
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archivePrefix = {arXiv},
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eprint = {1606.05250},
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}
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```
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### Contributions
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Thanks to [Derek Thomas](https://huggingface.co/derek-thomas) and [Thomas Simonini](https://huggingface.co/ThomasSimonini) for adding this to the hub
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Check out: [How to contribute more](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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