Model: lmqg/bart-large-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-large-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: 26.17
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 53.85
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 27.07
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 91
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 64.99
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: 95.54
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: 95.49
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: 95.59
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: 70.82
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: 70.54
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: 71.13
verified: no, name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
value: 93.23
verified: no, name: QAAlignedRecall-BERTScore (Question & Answer Generation) [Gold Answer]
type: qa_aligned_recall_bertscore_question_answer_generation_gold_answer
value: 93.35
verified: no, name: QAAlignedPrecision-BERTScore (Question & Answer Generation) [Gold Answer]
type: qa_aligned_precision_bertscore_question_answer_generation_gold_answer
value: 93.13
verified: no, name: QAAlignedF1Score-MoverScore (Question & Answer Generation) [Gold Answer]
type: qa_aligned_f1_score_moverscore_question_answer_generation_gold_answer
value: 64.76
verified: no, name: QAAlignedRecall-MoverScore (Question & Answer Generation) [Gold Answer]
type: qa_aligned_recall_moverscore_question_answer_generation_gold_answer
value: 64.63
verified: no, name: QAAlignedPrecision-MoverScore (Question & Answer Generation) [Gold Answer]
type: qa_aligned_precision_moverscore_question_answer_generation_gold_answer
value: 64.98
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: 0.06530369842068952
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.25030985091008146
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.2229994442645732
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.9092814804525936
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.6086538514008419
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: 0.11118273173452982
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.2967546690273089
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.27315087810722966
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.9322739617807421
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.6623000084761579
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: 0.08117757543966063
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.25292097720734297
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.25254205113198686
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.9249009759439454
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.6406329128556304
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: 0.059525104157825456
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.22365090580055863
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.21499800504546457
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.9095144685254328
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.6059332247878408
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: 0.006278914808207679
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.12368226019088967
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.11576293675813865
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.8807110440044503
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.5555905941686486
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: 0.00866799444965211
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.1601628874804186
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.15348605312210778
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.8783386920680519
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.5634845371093992
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: 0.00528043272450429
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.12343711316491492
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.15133496445452477
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.8778951253890991
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.5701949938103265
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: 1.0121579426501661e-06
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.12508697028506718
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.11862284941640638
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.8748829724726739
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.5528899173535703
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: 1.1301750984972448e-06
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.13083168975354642
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.12419733006916912
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.8797711839570719
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.5542757411268555
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: 8.380171318718442e-07
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 0.1402922852924756
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 0.1372146070365174
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 0.8891002409937424
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 0.5604572211470809
verified: no
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Created: 2022-03-02 23:29:05