Datasets:
Tasks:
Question Answering
Modalities:
Text
Sub-tasks:
extractive-qa
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Create README.md
Browse files
README.md
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---
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license: cc-by-4.0
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pretty_name: SQuAD with QG split.
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language: en
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multilinguality: monolingual
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size_categories: 1M<
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source_datasets:
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- extended|wikipedia
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task_categories:
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- question-answering
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task_ids:
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- extractive-qa
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---
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# Dataset Card for "lmqg/qa_squad"
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## Dataset Description
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- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
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- **Paper:** [https://rajpurkar.github.io/SQuAD-explorer/](https://rajpurkar.github.io/SQuAD-explorer/)
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- **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
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### Dataset Summary
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This is the SQuAD v1 dataset with the train/validatio/test split used in [qg_squad](https://huggingface.co/datasets/lmqg/qg_squad).
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### Supported Tasks and Leaderboards
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* `question-answering`
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### Languages
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English (en)
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## Dataset Structure
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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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- `id`: a `string` feature of id
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- `title`: a `string` feature of title of the paragraph
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- `context`: a `string` feature of paragraph
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- `question`: a `string` feature of question
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- `answers`: a `json` feature of answers
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### Data Splits
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|train |validation|test |
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|--------:|---------:|-------:|
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|1,204,925| 30,293| 24,473|
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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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