
# Squad-it
This dataset is an adapted version of that [squad-it](https://github.com/crux82/squad-it) to train on HuggingFace models.

It contains:
- train samples: 87599
- test samples : 10570

This dataset is for question answering and his format is the following:
```
[
  {
    "answers": [
      {
        "answer_start": [1],
        "text": ["Questo è un testo"]
      },
    ],
    "context": "Questo è un testo relativo al contesto.",
    "id": "1",
    "question": "Questo è un testo?",
    "title": "train test"
  }
]
```

It can be used to train many models like T5, Bert, Distilbert...
task_categories:question-answering task_ids:extractive-qa multilinguality:monolingual size_categories:8k<n<10k language:it region:us
{"language": ["it"], "multilinguality": ["monolingual"], "size_categories": ["8k<n<10k"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"]}
TAGS
#task_categories-question-answering #task_ids-extractive-qa #multilinguality-monolingual #size_categories-8k<n<10k #language-Italian #region-us 


# Squad-it
This dataset is an adapted version of that squad-it to train on HuggingFace models.

It contains:
- train samples: 87599
- test samples : 10570

This dataset is for question answering and his format is the following:


It can be used to train many models like T5, Bert, Distilbert...
# Squad-it
This dataset is an adapted version of that squad-it to train on HuggingFace models.

It contains:
- train samples: 87599
- test samples : 10570

This dataset is for question answering and his format is the following:


It can be used to train many models like T5, Bert, Distilbert...
TAGS
#task_categories-question-answering #task_ids-extractive-qa #multilinguality-monolingual #size_categories-8k<n<10k #language-Italian #region-us 
 # Squad-it
This dataset is an adapted version of that squad-it to train on HuggingFace models.

It contains:
- train samples: 87599
- test samples : 10570

This dataset is for question answering and his format is the following:


It can be used to train many models like T5, Bert, Distilbert...
passage: TAGS
#task_categories-question-answering #task_ids-extractive-qa #multilinguality-monolingual #size_categories-8k<n<10k #language-Italian #region-us 
# Squad-it
This dataset is an adapted version of that squad-it to train on HuggingFace models.

It contains:
- train samples: 87599
- test samples : 10570

This dataset is for question answering and his format is the following:


It can be used to train many models like T5, Bert, Distilbert...