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@@ -21,7 +21,7 @@ This model is a Candidate Set Generator in **"CDGP: Automatic Cloze Distractor G
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  Its input are stem and answer, and output is candidate set of distractors. It is fine-tuned by [**CLOTH**](https://www.cs.cmu.edu/~glai1/data/cloth/) dataset based on [**bert-base-uncased**](https://huggingface.co/bert-base-uncased) model.
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- For more details, you can see our paper or [GitHub](https://github.com/AndyChiangSH/CDGP).
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  ## How to use?
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@@ -47,7 +47,7 @@ print(cs)
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  ## Dataset
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- This model is fine-tuned by [**CLOTH**](https://www.cs.cmu.edu/~glai1/data/cloth/) dataset, which is a collection of nearly 100,000 cloze questions from middle school and high school English exams. The detail of CLOTH dataset is shown below.
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  | Number of questions | Train | Valid | Test |
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  | ------------------- | ----- | ----- | ----- |
 
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  Its input are stem and answer, and output is candidate set of distractors. It is fine-tuned by [**CLOTH**](https://www.cs.cmu.edu/~glai1/data/cloth/) dataset based on [**bert-base-uncased**](https://huggingface.co/bert-base-uncased) model.
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+ For more details, you can see our **paper** or [**GitHub**](https://github.com/AndyChiangSH/CDGP).
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  ## How to use?
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  ## Dataset
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+ This model is fine-tuned by [CLOTH](https://www.cs.cmu.edu/~glai1/data/cloth/) dataset, which is a collection of nearly 100,000 cloze questions from middle school and high school English exams. The detail of CLOTH dataset is shown below.
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  | Number of questions | Train | Valid | Test |
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  | ------------------- | ----- | ----- | ----- |