Datasets:
lmqg
/

Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Source Datasets:
squad
ArXiv:
Tags:
question-generation
License:
asahi417 commited on
Commit
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1 Parent(s): 04fc499

Update README.md

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@@ -15,6 +15,8 @@ task_ids: question-generation
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  - **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
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  - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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  - **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
 
 
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  ### Dataset Summary
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  [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) dataset for question generation (QG) task. The split
@@ -31,11 +33,6 @@ compatible with the [leader board](https://paperswithcode.com/sota/question-gene
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  English (en)
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  ## Dataset Structure
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- ### Data Instances
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- #### plain_text
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- - **Size of downloaded dataset files:** 284.1 MB
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- - **Size of the generated dataset:** 269 MB
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-
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  An example of 'train' looks as follows.
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  ```
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  {
@@ -49,7 +46,6 @@ An example of 'train' looks as follows.
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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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  - `question`: a `string` feature.
@@ -64,7 +60,7 @@ Each of `paragraph_answer`, `paragraph_sentence`, and `sentence_answer` feature
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  but with different information. The `paragraph_answer` and `sentence_answer` features are for answer-aware question generation and
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  `paragraph_sentence` feature is for sentence-aware question generation.
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- ### Data Splits
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  | name |train|validation|test |
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  |----------|----:|---------:|----:|
 
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  - **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
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  - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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  - **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
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+ - **Size of downloaded dataset files:** 284.1 MB
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+ - **Size of the generated dataset:** 269 MB
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  ### Dataset Summary
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  [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) dataset for question generation (QG) task. The split
 
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  English (en)
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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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  }
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  ```
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  The data fields are the same among all splits.
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  - `question`: a `string` feature.
 
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  but with different information. The `paragraph_answer` and `sentence_answer` features are for answer-aware question generation and
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  `paragraph_sentence` feature is for sentence-aware question generation.
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+ ## Data Splits
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  | name |train|validation|test |
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  |----------|----:|---------:|----:|