# AutoTrain Dataset for project: nma-qa

## Dataset Description

This dataset has been automatically processed by AutoTrain for project nma-qa.

### Languages

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

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "context": "A minority view is that early seventeenth-century Baptists were influenced by (but not directly connected to) continental Anabaptists. According to this view, the General Baptists shared similarities with Dutch Waterlander Mennonites (one of many Anabaptist groups) including believer's baptism only, religious liberty, separation of church and state, and Arminian views of salvation, predestination and original sin. Representative writers including A.C. Underwood and William R. Estep. Gourley wrote that among some contemporary Baptist scholars who emphasize the faith of the community over soul liberty, the Anabaptist influence theory is making a comeback.",
    "question": "Early seventeenth-century Baptists were thought to be influenced by who?",
    "answers.text": [
      "continental Anabaptists"
    ],
    "answers.answer_start": [
      110
    ],
    "feat_id": [
      "5727dbdf3acd2414000dee3a"
    ],
    "feat_title": [
      "Baptists"
    ]
  },
  {
    "context": "Much of California consists of a Mediterranean climate, with sometimes excessive rainfall from October\u2013April and nearly no rain the rest of the year. In the Pacific Northwest rain falls year-round, but is much heavier during winter and spring. The mountains of the west receive abundant precipitation and very heavy snowfall. The Cascades are one of the snowiest places in the world, with some places averaging over 600 inches (1,524 cm) of snow annually, but the lower elevations closer to the coast receive very little snow.",
    "question": "Which region in the US is also one of the most snowiest places in the world?",
    "answers.text": [
      "The Cascades"
    ],
    "answers.answer_start": [
      326
    ],
    "feat_id": [
      "572ecda5cb0c0d14000f159b"
    ],
    "feat_title": [
      "Geography_of_the_United_States"
    ]
  }
]
```

### 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)",
  "feat_id": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "feat_title": "Sequence(feature=Value(dtype='string', 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        | 104204 |
| valid        | 26051 |

region:us
{}
TAGS
#region-us 

AutoTrain Dataset for project: nma-qa
=====================================


Dataset Description
-------------------


This dataset has been automatically processed by AutoTrain for project nma-qa.


### Languages


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


Dataset Structure
-----------------


### Data Instances


A sample from this dataset looks as follows:


### Dataset Fields


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


### Dataset Splits


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




### Languages


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


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


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


This dataset is split into a train and validation split. The split sizes are as follow:
TAGS
#region-us 
 ### Languages


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


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


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


This dataset is split into a train and validation split. The split sizes are as follow:
passage: TAGS
#region-us 
### Languages


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


Dataset Structure
-----------------### Data Instances


A sample from this dataset looks as follows:### Dataset Fields


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


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