

# ViQP: Dataset for Vietnamese Question Paraphrasing

## Dataset sample
An example of 'viqp_train.json' looks as follows.
```json
  {
    "source": "Trong thuật toán Caesar Cipher, ký tự K với mã hóa k=4 thì sẽ được chữ mới gì?",
    "target": [
      "Ký tự K với mã hóa k=4 trong thuật toán Caesar Cipher thì sẽ được chữ gì?",
      "Ký tự K với mã hóa k=4 trong thuật toán Caesar Cipher thì sẽ được chữ mới gì?",
      "Trong thuật toán Caesar Cipher, ký tự K với mã hóa k=4 thì sẽ được chữ gì?",
      "Trong thuật toán Caesar Cipher, mã hóa k=4 thì ký tự K sẽ là chữ gì?"
    ],
    "type": "ENTY_letter"
  }
```

# Model resource

Question paraphrasing model after training with ViQP is available at [here](https://huggingface.co/SCM-LAB/vietnamese_question_paraphrasing_ViT5_base)

```cmd
pip install simplet5
```

```python
from simplet5 import SimpleT5

model = SimpleT5()
model.load_model("t5", "SCM-LAB/vietnamese_question_paraphrasing_ViT5_base", use_gpu=True)

question = "Tác phẩm Lục Vân Tiên được sáng tác năm nào?"
model.predict(f"question paraphrasing: {question}", num_return_sequences= 5, num_beams= 5)

>>> ['Tác phẩm Lục Vân Tiên được sáng tác lúc nào?',
 'Tác phẩm Lục Vân Tiên được sáng tác khi nào?',
 'Tác phẩm Lục Vân Tiên được sáng tác vào năm nào?',
 'Lúc nào tác phẩm Lục Vân Tiên được sáng tác?',
 'Tác phẩm Lục Vân Tiên được sáng tác vào lúc nào?']

```


# Citation Information

```
@INPROCEEDINGS{10288738,
  author={Nguyen, Sang Quang and Vo, Thuc Dinh and Nguyen, Duc P.A and Tran, Dang T. and Nguyen, Kiet Van},
  booktitle={2023 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)}, 
  title={ViQP: Dataset for Vietnamese Question Paraphrasing}, 
  year={2023},
  volume={},
  number={},
  pages={1-6},
  doi={10.1109/MAPR59823.2023.10288738}
}
```

**Please CITE** our paper when ViQP is used to help produce published results or is incorporated into other software.
task_categories:text2text-generation size_categories:10K<n<100K language:vi license:mit doi:10.57967/hf/1333 region:us
{"language": ["vi"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text2text-generation"], "viewer": true}
TAGS
#task_categories-text2text-generation #size_categories-10K<n<100K #language-Vietnamese #license-mit #doi-10.57967/hf/1333 #region-us 



# ViQP: Dataset for Vietnamese Question Paraphrasing

## Dataset sample
An example of 'viqp_train.json' looks as follows.


# Model resource

Question paraphrasing model after training with ViQP is available at here










Please CITE our paper when ViQP is used to help produce published results or is incorporated into other software.
# ViQP: Dataset for Vietnamese Question Paraphrasing ## Dataset sample
An example of 'viqp_train.json' looks as follows. # Model resource

Question paraphrasing model after training with ViQP is available at here










Please CITE our paper when ViQP is used to help produce published results or is incorporated into other software.
TAGS
#task_categories-text2text-generation #size_categories-10K<n<100K #language-Vietnamese #license-mit #doi-10.57967/hf/1333 #region-us 
 # ViQP: Dataset for Vietnamese Question Paraphrasing ## Dataset sample
An example of 'viqp_train.json' looks as follows. # Model resource

Question paraphrasing model after training with ViQP is available at here










Please CITE our paper when ViQP is used to help produce published results or is incorporated into other software.
passage: TAGS
#task_categories-text2text-generation #size_categories-10K<n<100K #language-Vietnamese #license-mit #doi-10.57967/hf/1333 #region-us 
# ViQP: Dataset for Vietnamese Question Paraphrasing## Dataset sample
An example of 'viqp_train.json' looks as follows.# Model resource

Question paraphrasing model after training with ViQP is available at here










Please CITE our paper when ViQP is used to help produce published results or is incorporated into other software.