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metadata
language:
  - en
datasets:
  - alinet/balanced_qg
model-index:
  - name: alinet/bart-base-balanced-qg
    results:
      - task:
          type: text2text-generation
          name: Question Generation
        dataset:
          name: MRQA
          type: mrqa
        metrics:
          - type: bertscore
            value: 0.6579994835741414
            name: BERTScore F1
          - type: bertscore
            value: 0.6617731395187654
            name: BERTScore Precision
          - type: bertscore
            value: 0.6576008430831539
            name: BERTScore Recall
      - task:
          type: text2text-generation
          name: Question Generation
        dataset:
          name: Spoken-SQuAD
          type: alinet/spoken_squad
        metrics:
          - type: bertscore
            value: 0.6005104740534271
            name: BERTScore F1
          - type: bertscore
            value: 0.5973629577263946
            name: BERTScore Precision
          - type: bertscore
            value: 0.6071276199638798
            name: BERTScore Recall

A question generation model trained on alinet/balanced_qg dataset.

Example usage:

from transformers import BartConfig, BartForConditionalGeneration, BartTokenizer

model_name = "alinet/bart-base-balanced-qg"

tokenizer = BartTokenizer.from_pretrained(model_name)
model = BartForConditionalGeneration.from_pretrained(model_name) 

def run_model(input_string, **generator_args):
  input_ids = tokenizer.encode(input_string, return_tensors="pt")
  res = model.generate(input_ids, **generator_args)
  output = tokenizer.batch_decode(res, skip_special_tokens=True)
  print(output)

run_model("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.", max_length=32, num_beams=4)
# ['What is the Stanford Question Answering Dataset?']