voidful's picture
Create README.md
e85b632
|
raw
history blame
2.06 kB
metadata
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
      stars from your bed . 

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.