Datasets:
Tasks:
Text2Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
| dataset_info: | |
| features: | |
| - name: context | |
| dtype: string | |
| - name: questions | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 20293805 | |
| num_examples: 18896 | |
| - name: validation | |
| num_bytes: 2376313 | |
| num_examples: 2067 | |
| download_size: 12600387 | |
| dataset_size: 22670118 | |
| annotations_creators: | |
| - crowdsourced | |
| language: | |
| - en | |
| language_creators: | |
| - crowdsourced | |
| license: | |
| - cc-by-4.0 | |
| multilinguality: | |
| - monolingual | |
| pretty_name: Question Generation for T5 based on Squad V1.1 | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - extended|squad | |
| tags: | |
| - questiongeneration | |
| - question-generation | |
| - text2text-generation | |
| task_categories: | |
| - text2text-generation | |
| task_ids: [] | |
| # Dataset Card for "squad-v1.1-t5-question-generation" | |
| ## Dataset Description | |
| - **Homepage:** [https://rajpurkar.github.io/SQuAD-explorer/](https://rajpurkar.github.io/SQuAD-explorer/) | |
| - **Paper:** [SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://arxiv.org/abs/1606.05250) | |
| ### Dataset Summary | |
| 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) | |
| specifically for the T5 family of models. The prefix is `generate questions: ` so that the task can be unique to a trained model. | |
| Check out the generation notebook [here](https://nbviewer.org/urls/huggingface.co/datasets/derek-thomas/squad-v1.1-t5-question-generation/resolve/main/Squad_V1_Question_Generation.ipynb). | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Languages | |
| ## Dataset Structure | |
| ### Data Instances | |
| #### plain_text | |
| An example of 'train' looks as follows. | |
| ``` | |
| { | |
| "context": "generate questions: This is a test context.", | |
| "question": "Is this a test? {sep_token} Is this another Test {sep_token}" | |
| } | |
| ``` | |
| ### Data Fields | |
| The data fields are the same among all splits. | |
| #### plain_text | |
| - `context`: a `string` feature. | |
| - `question`: a `string` feature. | |
| ### Data Splits | |
| | name |train|validation| | |
| |----------|----:|---------:| | |
| |plain_text|18896| 2067| | |
| ### Citation Information | |
| ``` | |
| @article{2016arXiv160605250R, | |
| author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev}, | |
| Konstantin and {Liang}, Percy}, | |
| title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}", | |
| journal = {arXiv e-prints}, | |
| year = 2016, | |
| eid = {arXiv:1606.05250}, | |
| pages = {arXiv:1606.05250}, | |
| archivePrefix = {arXiv}, | |
| eprint = {1606.05250}, | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [Derek Thomas](https://huggingface.co/derek-thomas) and [Thomas Simonini](https://huggingface.co/ThomasSimonini) for adding this to the hub | |
| Check out: [How to contribute more](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Visitors | |
| [](https://visitorbadge.io/status?path=https%3A%2F%2Fhuggingface.co%2Fdatasets%2Fderek-thomas%2Fsquad-v1.1-t5-question-generation) |