Datasets:
Tasks:
Text Generation
Modalities:
Text
Sub-tasks:
language-modeling
Languages:
Japanese
Size:
10K - 100K
ArXiv:
Tags:
question-generation
License:
Update README.md
Browse files
README.md
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---
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license: cc-by-sa-4.0
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pretty_name: SQuAD for question generation
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-
language:
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multilinguality: monolingual
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size_categories: 1k<n<10K
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source_datasets:
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task_categories:
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- text-generation
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task_ids:
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- question-generation
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# Dataset Card for "lmqg/
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## Dataset Description
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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 question & answer generation dataset based on the
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### Supported Tasks and Leaderboards
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* `question-answer-generation`: The dataset is assumed to be used to train a model for question & answer generation.
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Success on this task is typically measured by achieving a high BLEU4/METEOR/ROUGE-L/BERTScore/MoverScore (see our paper for more in detail).
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### Languages
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-
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## Dataset Structure
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An example of 'train' looks as follows.
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```
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{
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"paragraph": "
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"questions": [
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"4 minutes became Madonna's which number one single in the UK?",
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"What is the name of the first tour with Live Nation?",
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"How much did Stick and Sweet Tour grossed?"
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],
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"answers": [
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"4 Minutes",
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"Elvis Presley",
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"thirteenth",
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"Sticky & Sweet Tour",
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"$280 million,"
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],
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"questions_answers": "question: Which single was released as the album's lead single?, answer: 4 Minutes | question: Madonna surpassed which artist with the most top-ten hits?, answer: Elvis Presley | question: 4 minutes became Madonna's which number one single in the UK?, answer: thirteenth | question: What is the name of the first tour with Live Nation?, answer: Sticky & Sweet Tour | question: How much did Stick and Sweet Tour grossed?, answer: $280 million,"
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}
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```
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The data fields are the same among all splits.
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|train|validation|test |
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|----:|---------:|----:|
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-
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## Citation Information
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---
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license: cc-by-sa-4.0
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pretty_name: SQuAD for question generation
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language: ja
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multilinguality: monolingual
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size_categories: 1k<n<10K
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source_datasets: lmqg/qg_jaquad
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task_categories:
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- text-generation
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task_ids:
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- question-generation
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---
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# Dataset Card for "lmqg/qag_jaquad"
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## Dataset Description
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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 question & answer generation dataset based on the JAQuAD.
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### Supported Tasks and Leaderboards
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* `question-answer-generation`: The dataset is assumed to be used to train a model for question & answer generation.
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Success on this task is typically measured by achieving a high BLEU4/METEOR/ROUGE-L/BERTScore/MoverScore (see our paper for more in detail).
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### Languages
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Japanese (ja)
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## Dataset Structure
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An example of 'train' looks as follows.
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```
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{
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"paragraph": ""Nerdilinga"は898年にカロリング朝の王領として初めて文献に記録されている。レーゲンスブルク司教の統治下でネルトリンゲンは市場町に成長していった。1215年にネルトリンゲンは皇帝フリードリヒ2世から都市権を与えられ、帝国自由都市となった。この年に最初の市壁が築かれた。その縄張りは現在も街の地図に見て取れる。1219年、ネルトリンゲンの聖霊降臨祭についての最も古い文献上の記録が遺されている。重要な交易路が交差するこの都市は穀物、家畜、織物、毛皮、金属製品の主要な集散地に発展していった。ネルトリンゲンはフランクフルトと並ぶドイツで最も重要な遠距離交易都市の一つとなったのである。",
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"questions": [ "1215年にネルトリンゲンは誰から都市権を与えられ、帝国自由都市となったか。", "\"Nerdilinga\"の最初の記録は何年のものですか。" ],
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"answers": [ "皇帝フリードリヒ2世", "898年" ],
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"questions_answers": "question: 1215年にネルトリンゲンは誰から都市権を与えられ、帝国自由都市となったか。, answer: 皇帝フリードリヒ2世 | question: "Nerdilinga"の最初の記録は何年のものですか。, answer: 898年"
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}
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```
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The data fields are the same among all splits.
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|train|validation|test |
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|----:|---------:|----:|
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|9508| 1431 | 3050|
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## Citation Information
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