
# The SQuAD QG Dataset

## Description

[Stanford Question Answering Dataset (SQuAD)](https://rajpurkar.github.io/SQuAD-explorer/) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.

This modified version is aimed at question generation; 
each entry only contains contexts and questions concatenated to a single string related to the specific context. 

`The SQuAD` unites SQuAD 1.1 and 2.0 in two subsets each containing a `train` and `validation` split.


## Dataset Structure

### Data Instances

An example entry looks as follows:

```python
{
  context: "This is a test context",
  questions: ["Is this a test?", "Is this a test context?"]
}
```

### Data Fields

The dataset has the following fields:

* context: a string feature
* questions: a string feature

**NB:** The data fields are the same among all splits.

### Data Splits

| name | train | validation |
|------|-------|------------|
| v1   | 18891 | 2067       |
| v2   | 18877 | 1204       |

language:en license:wtfpl region:us
{"language": ["en"], "license": "wtfpl", "pretty_name": "The SQuAD QG Dataset", "dataset_info": [{"config_name": "v2", "features": [{"name": "context", "dtype": "string"}, {"name": "questions", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20328952, "num_examples": 18877}, {"name": "validation", "num_bytes": 1419411, "num_examples": 1204}], "download_size": 24163282, "dataset_size": 21748363}, {"config_name": "v1", "features": [{"name": "context", "dtype": "string"}, {"name": "questions", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20391081, "num_examples": 18891}, {"name": "validation", "num_bytes": 2389185, "num_examples": 2067}], "download_size": 25308169, "dataset_size": 22780266}]}
TAGS
#language-English #license-wtfpl #region-us 

The SQuAD QG Dataset
====================


Description
-----------


Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.


This modified version is aimed at question generation;
each entry only contains contexts and questions concatenated to a single string related to the specific context.


'The SQuAD' unites SQuAD 1.1 and 2.0 in two subsets each containing a 'train' and 'validation' split.


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


### Data Instances


An example entry looks as follows:


### Data Fields


The dataset has the following fields:


* context: a string feature
* questions: a string feature


NB: The data fields are the same among all splits.


### Data Splits


name: v1, train: 18891, validation: 2067
name: v2, train: 18877, validation: 1204



### Data Instances


An example entry looks as follows: ### Data Fields


The dataset has the following fields:


* context: a string feature
* questions: a string feature


NB: The data fields are the same among all splits. ### Data Splits


name: v1, train: 18891, validation: 2067
name: v2, train: 18877, validation: 1204
TAGS
#language-English #license-wtfpl #region-us 
 ### Data Instances


An example entry looks as follows: ### Data Fields


The dataset has the following fields:


* context: a string feature
* questions: a string feature


NB: The data fields are the same among all splits. ### Data Splits


name: v1, train: 18891, validation: 2067
name: v2, train: 18877, validation: 1204
passage: TAGS
#language-English #license-wtfpl #region-us 
### Data Instances


An example entry looks as follows:### Data Fields


The dataset has the following fields:


* context: a string feature
* questions: a string feature


NB: The data fields are the same among all splits.### Data Splits


name: v1, train: 18891, validation: 2067
name: v2, train: 18877, validation: 1204