readme: ---
  datasets:
  - squad
  tags:
  - question-generation
  widget:
  - text: "Harry Potter is a series of seven fantasy novels written by British author, [HL]J. K. Rowling[HL]."
  ---
  
  # Transformer QG on SQuAD
  HLQG is Proposed by [Ying-Hong Chan & Yao-Chung Fan. (2019). A Re-current BERT-based Model for Question Generation.](https://www.aclweb.org/anthology/D19-5821/)
  
  **This is a Reproduce Version**
  
  More detail: [p208p2002/Transformer-QG-on-SQuAD](https://github.com/p208p2002/Transformer-QG-on-SQuAD)
  
  ## Usage
  ### Input Format
  ```
  C' = [c1, c2, ..., [HL], a1, ..., a|A|, [HL], ..., c|C|]
  ```
  ### Input Example
  ```
  Harry Potter is a series of seven fantasy novels written by British author, [HL]J. K. Rowling[HL].
  ```
  > # Who wrote Harry Potter?
  
  ## Data setting
  We report two dataset setting as Follow
  
  ### SQuAD
  - train: 87599\\\\t
  - validation: 10570
  > [SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://arxiv.org/abs/1606.05250)
  
  ### SQuAD NQG
  - train: 75722
  - dev: 10570
  - test: 11877
  > [Learning to Ask: Neural Question Generation for Reading Comprehension](https://arxiv.org/abs/1705.00106)
  
  ## Available models
  - BART
  - GPT2
  - T5
  
  ## Expriments
  We report score with `NQG Scorer` which is using in SQuAD NQG.
  
  If not special explanation, the size of the model defaults to "base".
  
  ### SQuAD
  Model                            |Bleu 1|Bleu 2|Bleu 3|Bleu 4|METEOR|ROUGE-L|
  ---------------------------------|------|------|------|------|------|-------|
  BART-HLSQG                       |54.67 |39.26 |30.34 |24.15 |25.43 |52.64  |
  GPT2-HLSQG                       |49.31 |33.95 |25.41| 19.69 |22.29 |48.82  |
  T5-HLSQG                         |54.29 |39.22 |30.43 |24.26 |25.56 |53.11  |
  
  ### SQuAD NQG
  Model                            |Bleu 1|Bleu 2|Bleu 3|Bleu 4|METEOR|ROUGE-L|
  ---------------------------------|------|------|------|------|------|-------|
  BERT-HLSQG (Chan et al.)         |49.73 |34.60 |26.13 |20.33 |23.88 |48.23  |
  BART-HLSQG                       |54.12 |38.19 |28.84 |22.35 |24.55 |51.03  |
  GPT2-HLSQG                       |49.82 |33.69 |24.71 |18.63 |21.90 |47.60  |
  T5-HLSQG                         |53.13 |37.60 |28.62 |22.38 |24.48 |51.20  |