
# Question Generation Model

## Github

https://github.com/Seoneun/T5-Question-Generation

## Fine-tuning Dataset

SQuAD 1.1

| Train Data | Dev Data | Test Data |
| ------ | ------ | ------ |
| 75,722 | 10,570 | 11,877 |

## Demo

https://huggingface.co/Sehong/t5-large-QuestionGeneration

## How to use

```python
import torch
from transformers import PreTrainedTokenizerFast
from transformers import T5ForConditionalGeneration

tokenizer = PreTrainedTokenizerFast.from_pretrained('Sehong/t5-large-QuestionGeneration')
model = T5ForConditionalGeneration.from_pretrained('Sehong/t5-large-QuestionGeneration')

# tokenized
'''
text = "answer:Saint Bern ##ade ##tte So ##ubi ##rous content:Architectural ##ly , the school has a Catholic character . At ##op the Main Building ' s gold dome is a golden statue of the Virgin Mary . Immediately in front of the Main Building and facing it , is a copper statue of Christ with arms up ##rai ##sed with the legend "" V ##eni ##te Ad Me O ##m ##nes "" . Next to the Main Building is the Basilica of the Sacred Heart . Immediately behind the b ##asi ##lica is the G ##rot ##to , a Marian place of prayer and reflection . It is a replica of the g ##rot ##to at Lou ##rdes , France where the Virgin Mary reputed ##ly appeared to Saint Bern ##ade ##tte So ##ubi ##rous in 1858 . At the end of the main drive ( and in a direct line that connects through 3 statues and the Gold Dome ) , is a simple , modern stone statue of Mary ."
'''

text = "answer:Saint Bernadette Soubirous content:Architecturally , the school has a Catholic character . Atop the Main Building ' s gold dome is a golden statue of the Virgin Mary . Immediately in front of the Main Building and facing it , is a copper statue of Christ with arms upraised with the legend "" Venite Ad Me Omnes "" . Next to the Main Building is the Basilica of the Sacred Heart . Immediately behind the basilica is the Grotto , a Marian place of prayer and reflection . It is a replica of the grotto at Lourdes , France where the Virgin Mary reputedly appeared to Saint Bernadette Soubirous in 1858 . At the end of the main drive ( and in a direct line that connects through 3 statues and the Gold Dome ) , is a simple , modern stone statue of Mary ."

raw_input_ids = tokenizer.encode(text)
input_ids = [tokenizer.bos_token_id] + raw_input_ids + [tokenizer.eos_token_id]

question_ids = model.generate(torch.tensor([input_ids]))

decode = tokenizer.decode(question_ids.squeeze().tolist(), skip_special_tokens=True)

decode = decode.replace(' # # ', '').replace('  ', ' ').replace(' ##', '')

print(decode)
```

## Evalutation

| BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 | METEOR | ROUGE-L |
| ------ | ------ | ------ | ------ | ------ | ------- |
| 51.333 | 36.742 | 28.218 | 22.289 | 26.126 | 51.069  |
{"language": "en", "license": "mit", "tags": ["t5"], "datasets": ["squad"]}
transformers pytorch t5 text2text-generation en dataset:squad license:mit autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #en #dataset-squad #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

Question Generation Model
=========================


Github
------


URL


Fine-tuning Dataset
-------------------


SQuAD 1.1


Train Data: 75,722, Dev Data: 10,570, Test Data: 11,877


Demo
----


URL


How to use
----------


Evalutation
-----------




TAGS
#transformers #pytorch #t5 #text2text-generation #en #dataset-squad #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

passage: TAGS
#transformers #pytorch #t5 #text2text-generation #en #dataset-squad #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
