Datasets:
lmqg
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Text
Sub-tasks:
extractive-qa
Languages:
English
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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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+
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+ # Dataset Card for "lmqg/qa_squad"
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+
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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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+
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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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+
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+
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+ ### Supported Tasks and Leaderboards
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+ * `question-answering`
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+
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+ ### Languages
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+ English (en)
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+
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+ ## Dataset Structure
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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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+
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+ #### plain_text
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+
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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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+
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+ ### Data Splits
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+
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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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+
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+ ## Citation Information
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+
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+ ```
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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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+ ```