task_categories:question-answering task_categories:text-generation task_categories:text2text-generation size_categories:n<1K language:pt region:us
---
language:
- pt
task_categories:
- question-answering
- text-generation
- text2text-generation
size_categories:
- n<1K
---
# AutoTrain Dataset for project: teste

## Dataset Description

This dataset has been automatically processed by AutoTrain for project teste.

### Languages

The BCP-47 code for the dataset's language is pt.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "context": "Sherlock Holmes \u00e9 um personagem de fic\u00e7\u00e3o criado pelo escritor brit\u00e2nico Sir Arthur Conan Doyle. Ele \u00e9 um detetive famoso por sua habilidade em resolver mist\u00e9rios e crimes complexos.",
    "question": "Pergunta 268: Qual \u00e9 o nome do irm\u00e3o mais velho de Sherlock Holmes que trabalha para o servi\u00e7o secreto brit\u00e2nico?",
    "answers.text": [
      "Mycroft Holmes"
    ],
    "answers.answer_start": [
      0
    ]
  },
  {
    "context": "Sherlock Holmes \u00e9 um personagem de fic\u00e7\u00e3o criado pelo escritor brit\u00e2nico Sir Arthur Conan Doyle. Ele \u00e9 um detetive famoso por sua habilidade em resolver mist\u00e9rios e crimes complexos.",
    "question": "Pergunta 52: Qual \u00e9 o nome do irm\u00e3o mais velho de Sherlock Holmes que trabalha para o servi\u00e7o secreto brit\u00e2nico?",
    "answers.text": [
      "Mycroft Holmes"
    ],
    "answers.answer_start": [
      0
    ]
  }
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
  "context": "Value(dtype='string', id=None)",
  "question": "Value(dtype='string', id=None)",
  "answers.text": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "answers.answer_start": "Sequence(feature=Value(dtype='int32', id=None), length=-1, id=None)"
}
```

### Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

| Split name   | Num samples         |
| ------------ | ------------------- |
| train        | 720 |
| valid        | 180 |