Model: lmqg/bart-base-squad-qg
Author: lmqg
Pipeline: text-generation
Library: transformers
Tags: transformers, pytorch, bart, text2text-generation, question generation, en, dataset:lmqg/qg_squad, arxiv:2210.03992, license:cc-by-4.0, model-index, endpoints_compatible, region:us
Card metadata: license: cc-by-4.0
metrics: bleu4, meteor, rouge-l, bertscore, moverscore
language: en
datasets: lmqg/qg_squad
pipeline_tag: text2text-generation
tags: question generation
widget: text: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.
example_title: Question Generation Example 1, text: Beyonce further expanded her acting career, starring as blues singer <hl> Etta James <hl> in the 2008 musical biopic, Cadillac Records.
example_title: Question Generation Example 2, text: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic,  <hl> Cadillac Records <hl> .
example_title: Question Generation Example 3
model-index: name: lmqg/bart-base-squad-qg
results: task: name: Text2text Generation
type: text2text-generation
dataset: name: lmqg/qg_squad
type: default
args: default
metrics: name: BLEU4 (Question Generation)
type: bleu4_question_generation
value: 24.68
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 52.66
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 26.05
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 90.87
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 64.47
verified: no, name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer_gold_answer
value: 95.49
verified: no, name: QAAlignedRecall-BERTScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
type: qa_aligned_recall_bertscore_question_answer_generation_with_gold_answer_gold_answer
value: 95.44
verified: no, name: QAAlignedPrecision-BERTScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
type: qa_aligned_precision_bertscore_question_answer_generation_with_gold_answer_gold_answer
value: 95.55
verified: no, name: QAAlignedF1Score-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
type: qa_aligned_f1_score_moverscore_question_answer_generation_with_gold_answer_gold_answer
value: 70.38
verified: no, name: QAAlignedRecall-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
type: qa_aligned_recall_moverscore_question_answer_generation_with_gold_answer_gold_answer
value: 70.1
verified: no, name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer_gold_answer
value: 70.67
verified: no, name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
value: 92.84
verified: no, name: QAAlignedRecall-BERTScore (Question & Answer Generation) [Gold Answer]
type: qa_aligned_recall_bertscore_question_answer_generation_gold_answer
value: 92.95
verified: no, name: QAAlignedPrecision-BERTScore (Question & Answer Generation) [Gold Answer]
type: qa_aligned_precision_bertscore_question_answer_generation_gold_answer
value: 92.75
verified: no, name: QAAlignedF1Score-MoverScore (Question & Answer Generation) [Gold Answer]
type: qa_aligned_f1_score_moverscore_question_answer_generation_gold_answer
value: 64.24
verified: no, name: QAAlignedRecall-MoverScore (Question & Answer Generation) [Gold Answer]
type: qa_aligned_recall_moverscore_question_answer_generation_gold_answer
value: 64.11
verified: no, name: QAAlignedPrecision-MoverScore (Question & Answer Generation) [Gold Answer]
type: qa_aligned_precision_moverscore_question_answer_generation_gold_answer
value: 64.46
verified: no, task: name: Text2text Generation
type: text2text-generation
dataset: name: lmqg/qg_squadshifts
type: amazon
args: amazon
metrics: name: BLEU4 (Question Generation)
type: bleu4_question_generation
value: 0.05824165264328302
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.23816054441894524
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.2126541577267873
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.9049284884636415
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.6026811246610306
verified: no, task: name: Text2text Generation
type: text2text-generation
dataset: name: lmqg/qg_squadshifts
type: new_wiki
args: new_wiki
metrics: name: BLEU4 (Question Generation)
type: bleu4_question_generation
value: 0.10732253983426589
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.2843539251435107
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.26233713078026283
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.9307303692241476
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.656720781293701
verified: no, task: name: Text2text Generation
type: text2text-generation
dataset: name: lmqg/qg_squadshifts
type: nyt
args: nyt
metrics: name: BLEU4 (Question Generation)
type: bleu4_question_generation
value: 0.07645313983751752
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.2390325229516282
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.244330483594333
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.9235989114144583
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.6368628469746445
verified: no, task: name: Text2text Generation
type: text2text-generation
dataset: name: lmqg/qg_squadshifts
type: reddit
args: reddit
metrics: name: BLEU4 (Question Generation)
type: bleu4_question_generation
value: 0.053789810023704955
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.2141155595451475
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.20395821936787215
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.905714302466044
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.6013927660089013
verified: no, task: name: Text2text Generation
type: text2text-generation
dataset: name: lmqg/qg_subjqa
type: books
args: books
metrics: name: BLEU4 (Question Generation)
type: bleu4_question_generation
value: 1.4952813458186383e-10
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.10769136267285535
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.11520101781020654
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.8774975922095214
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.5520873074919223
verified: no, task: name: Text2text Generation
type: text2text-generation
dataset: name: lmqg/qg_subjqa
type: electronics
args: electronics
metrics: name: BLEU4 (Question Generation)
type: bleu4_question_generation
value: 1.3766381900873328e-06
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.14287460464803423
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.14866637711177003
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.8759880110997111
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.5607199201429516
verified: no, task: name: Text2text Generation
type: text2text-generation
dataset: name: lmqg/qg_subjqa
type: grocery
args: grocery
metrics: name: BLEU4 (Question Generation)
type: bleu4_question_generation
value: 0.006003840641121225
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.1248840598199836
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.1553374628831024
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.8737966828346252
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.5662545638649026
verified: no, task: name: Text2text Generation
type: text2text-generation
dataset: name: lmqg/qg_subjqa
type: movies
args: movies
metrics: name: BLEU4 (Question Generation)
type: bleu4_question_generation
value: 0.0108258720771249
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.1389815289507374
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.12855849168399078
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.8773110466344016
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.5555164603510797
verified: no, task: name: Text2text Generation
type: text2text-generation
dataset: name: lmqg/qg_subjqa
type: restaurants
args: restaurants
metrics: name: BLEU4 (Question Generation)
type: bleu4_question_generation
value: 1.7873892359263582e-10
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.12160976589996819
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.1146979295288459
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.8771339668070569
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.5490739019998478
verified: no, task: name: Text2text Generation
type: text2text-generation
dataset: name: lmqg/qg_subjqa
type: tripadvisor
args: tripadvisor
metrics: name: BLEU4 (Question Generation)
type: bleu4_question_generation
value: 0.010174680918435602
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.1341425139885307
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.1391725168440533
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.8877592491739579
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.5590591813016728
verified: no
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Created: 2022-03-02 23:29:05