# voidful /bart-eqg-question-generator

e85b632
language: en
tags:
- bart
- question
- generation
- seq2seq
datasets:
- eqg-race
metrics:
- bleu
- rouge
pipeline_tag: text2text-generation
widget:
- text: >-
When you ' re having a holiday , one of the main questions to ask is which
hotel or apartment to choose . However , when it comes to France , you
have another special choice : treehouses . In France , treehouses are
offered to travelers as a new choice in many places . The price may be a
little higher , but you do have a chance to _ your childhood memories .
Alain Laurens , one of France ' s top treehouse designers , said , ' Most
of the people might have the experience of building a den when they were
young . And they like that feeling of freedom when they are children . '
Its fairy - tale style gives travelers a special feeling . It seems as if
they are living as a forest king and enjoying the fresh air in the morning
. Another kind of treehouse is the ' star cube ' . It gives travelers the
chance of looking at the stars shining in the sky when they are going to
sleep . Each ' star cube ' not only offers all the comfortable things that
a hotel provides for travelers , but also gives them a chance to look for
stars by using a telescope . The glass roof allows you to look at the


# voidful/bart-eqg-question-generator

## Model description

This model is a sequence-to-sequence question generator with only the context as an input, and generates a question as an output.
It is based on a pretrained bart-base model, and trained on EQG-RACE corpus.

## Intended uses & limitations

The model is trained to generate examinations-style multiple choice question.

#### How to use

The model takes context as an input sequence, and will generate a question as an output sequence. The max sequence length is 1024 tokens. Inputs should be organised into the following format:

context


The input sequence can then be encoded and passed as the input_ids argument in the model's generate() method.