mücevher

  • Açıklama :

GEM , hem insan ek açıklamaları hem de otomatik Metrikler yoluyla Değerlendirmeye odaklanan Doğal Dil Üretimi için bir kıyaslama ortamıdır.

GEM şunları amaçlamaktadır: (1) birçok NLG görevini ve dilini kapsayan 13 veri setinde NLG ilerlemesini ölçmek. (2) veri ifadeleri ve zorluk setleri aracılığıyla sunulan verilerin ve modellerin derinlemesine bir analizini sağlar. (3) hem otomatik hem de insan ölçümlerini kullanarak oluşturulan metnin değerlendirilmesi için standartlar geliştirmek.

Daha fazla bilgi https://gem-benchmark.com adresinde bulunabilir.

gem/common_gen (varsayılan yapılandırma)

  • Yapılandırma açıklaması : CommonGen, makineleri üretken sağduyulu muhakeme yeteneği açısından açık bir şekilde test etmek için bir kıyaslama veri kümesiyle ilişkilendirilmiş kısıtlı bir metin oluşturma görevidir. Bir dizi ortak kavram verildiğinde; görev, bu kavramları kullanarak günlük bir senaryoyu açıklayan tutarlı bir cümle oluşturmaktır.

  • İndirme boyutu : 1.84 MiB

  • Veri kümesi boyutu : 16.84 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Evet

  • bölmeler :

Bölmek örnekler
'challenge_test_scramble' 500
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test' 1.497
'train' 67.389
'validation' 993
  • Özellik yapısı :
FeaturesDict({
    'concept_set_id': int32,
    'concepts': Sequence(string),
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'target': string,
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
concept_set_id tensör int32
kavramlar Sıra(Tensor) (Hiçbiri,) sicim
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
hedef tensör sicim
  • Alıntı :
@inproceedings{lin2020commongen,
  title = "CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning",
  author = "Lin, Bill Yuchen  and
    Zhou, Wangchunshu  and
    Shen, Ming  and
    Zhou, Pei  and
    Bhagavatula, Chandra  and
    Choi, Yejin  and
    Ren, Xiang",
  booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
  month = nov,
  year = "2020",
  address = "Online",
  publisher = "Association for Computational Linguistics",
  url = "https://www.aclweb.org/anthology/2020.findings-emnlp.165",
  pages = "1823--1840",
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

mücevher/cs_restoranlar

  • Yapılandırma açıklaması : Görev, restoranlar hakkında bilgi sağlayan (varsayımsal) bir diyalog sistemi bağlamında yanıtlar üretmektir. Girdi, temel bir niyet/diyalog eylemi türü ve bir yuvalar (öznitelikler) listesi ve değerleridir. Çıktı, bir doğal dil cümlesidir.

  • İndirme boyutu : 1.46 MiB

  • Veri kümesi boyutu : 2.71 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Evet

  • bölmeler :

Bölmek örnekler
'challenge_test_scramble' 500
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test' 842
'train' 3.569
'validation' 781
  • Özellik yapısı :
FeaturesDict({
    'dialog_act': string,
    'dialog_act_delexicalized': string,
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'target': string,
    'target_delexicalized': string,
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
dialog_act tensör sicim
dialog_act_delexicalized tensör sicim
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
hedef tensör sicim
target_delexicalized tensör sicim
  • Alıntı :
@inproceedings{cs_restaurants,
  address = {Tokyo, Japan},
  title = {Neural {Generation} for {Czech}: {Data} and {Baselines} },
  shorttitle = {Neural {Generation} for {Czech} },
  url = {https://www.aclweb.org/anthology/W19-8670/},
  urldate = {2019-10-18},
  booktitle = {Proceedings of the 12th {International} {Conference} on {Natural} {Language} {Generation} ({INLG} 2019)},
  author = {Dušek, Ondřej and Jurčíček, Filip},
  month = oct,
  year = {2019},
  pages = {563--574}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

mücevher/dart

  • Yapılandırma açıklaması : DART, her bir girdinin ağaç yapılı bir ontolojiyi izleyen bir varlık-ilişki üçlüsü kümesi olduğu, yüksek kaliteli cümle ek açıklamalarına sahip, büyük ve açık alan yapılı bir Veri Kaydından Metne oluşturma külliyatıdır.

  • İndirme boyutu : 28.01 MiB

  • Veri kümesi boyutu : 33.78 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Evet

  • bölmeler :

Bölmek örnekler
'test' 6.959
'train' 62.659
'validation' 2.768
  • Özellik yapısı :
FeaturesDict({
    'dart_id': int32,
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'subtree_was_extended': bool,
    'target': string,
    'target_sources': Sequence(string),
    'tripleset': Sequence(string),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
dart_id tensör int32
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
subtree_was_extended tensör bool
hedef tensör sicim
hedef_kaynaklar Sıra(Tensor) (Hiçbiri,) sicim
üçlü takım Sıra(Tensor) (Hiçbiri,) sicim
  • Alıntı :
@article{radev2020dart,
  title=Dart: Open-domain structured data record to text generation,
  author={Radev, Dragomir and Zhang, Rui and Rau, Amrit and Sivaprasad, Abhinand and Hsieh, Chiachun and Rajani, Nazneen Fatema and Tang, Xiangru and Vyas, Aadit and Verma, Neha and Krishna, Pranav and others},
  journal={arXiv preprint arXiv:2007.02871},
  year={2020}
}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

mücevher/e2e_nlg

  • Yapılandırma açıklaması : E2E veri kümesi, sınırlı alanlı bir veriden metne dönüştürme görevi için tasarlanmıştır -- 8 adede kadar farklı özniteliğe (ad, bölge, fiyat aralığı vb.) dayalı restoran açıklamaları/önerileri oluşturma.

  • İndirme boyutu : 13.99 MiB

  • Veri kümesi boyutu : 16.92 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Evet

  • bölmeler :

Bölmek örnekler
'challenge_test_scramble' 500
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test' 4.693
'train' 33.525
'validation' 4.299
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'meaning_representation': string,
    'references': Sequence(string),
    'target': string,
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
anlam_temsil tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
hedef tensör sicim
  • Alıntı :
@inproceedings{e2e_cleaned,
  address = {Tokyo, Japan},
  title = {Semantic {Noise} {Matters} for {Neural} {Natural} {Language} {Generation} },
  url = {https://www.aclweb.org/anthology/W19-8652/},
  booktitle = {Proceedings of the 12th {International} {Conference} on {Natural} {Language} {Generation} ({INLG} 2019)},
  author = {Dušek, Ondřej and Howcroft, David M and Rieser, Verena},
  year = {2019},
  pages = {421--426},
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/mlsum_de

  • Yapılandırma açıklaması : MLSum, büyük ölçekli çok dilli bir özetleme veri kümesidir. Çevrimiçi haber kaynaklarından oluşturulmuştur, bu bölüm Almanca'ya odaklanmaktadır.

  • İndirme boyutu : 345.98 MiB

  • Veri kümesi boyutu : 963.60 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Hayır

  • bölmeler :

Bölmek örnekler
'challenge_test_covid' 5.058
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test' 10.695
'train' 220.748
'validation' 11.392
  • Özellik yapısı :
FeaturesDict({
    'date': string,
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'target': string,
    'text': string,
    'title': string,
    'topic': string,
    'url': string,
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
tarih tensör sicim
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
hedef tensör sicim
Metin tensör sicim
Başlık tensör sicim
başlık tensör sicim
url tensör sicim
  • Alıntı :
@inproceedings{scialom-etal-2020-mlsum,
    title = "{MLSUM}: The Multilingual Summarization Corpus",
    author = {Scialom, Thomas  and Dray, Paul-Alexis  and Lamprier, Sylvain  and Piwowarski, Benjamin  and Staiano, Jacopo},
    booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
    year = {2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/mlsum_es

  • Yapılandırma açıklaması : MLSum, büyük ölçekli çok dilli bir özetleme veri kümesidir. Çevrimiçi haber kaynaklarından oluşturulmuştur, bu bölüm İspanyolca'ya odaklanmaktadır.

  • İndirme boyutu : 501.27 MiB

  • Veri kümesi boyutu : 1.29 GiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Hayır

  • bölmeler :

Bölmek örnekler
'challenge_test_covid' 1.938
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test' 13.366
'train' 259.888
'validation' 9.977
  • Özellik yapısı :
FeaturesDict({
    'date': string,
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'target': string,
    'text': string,
    'title': string,
    'topic': string,
    'url': string,
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
tarih tensör sicim
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
hedef tensör sicim
Metin tensör sicim
Başlık tensör sicim
başlık tensör sicim
url tensör sicim
  • Alıntı :
@inproceedings{scialom-etal-2020-mlsum,
    title = "{MLSUM}: The Multilingual Summarization Corpus",
    author = {Scialom, Thomas  and Dray, Paul-Alexis  and Lamprier, Sylvain  and Piwowarski, Benjamin  and Staiano, Jacopo},
    booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
    year = {2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/schema_guided_dialog

  • Yapılandırma açıklaması : Şema Kılavuzlu Diyalog (SGD) veri kümesi, bankalardan etkinliklere, medyadan takvime, seyahate ve hava durumuna kadar 17 alanı kapsayan, bir insan ile bir sanal asistan arasında 18K çok alanlı, göreve yönelik diyaloglar içerir.

  • İndirme boyutu : 17.00 MiB

  • Veri kümesi boyutu : 201.19 MiB

  • Otomatik önbelleğe alma ( belgeler ): Evet (challenge_test_backtranslation, challenge_test_bfp02, challenge_test_bfp05, challenge_test_nopunc, challenge_test_scramble, challenge_train_sample, challenge_validation_sample, test, doğrulama), Yalnızca shuffle_files=False (tren) olduğunda

  • bölmeler :

Bölmek örnekler
'challenge_test_backtranslation' 500
'challenge_test_bfp02' 500
'challenge_test_bfp05' 500
'challenge_test_nopunc' 500
'challenge_test_scramble' 500
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test' 10.000
'train' 164.982
'validation' 10.000
  • Özellik yapısı :
FeaturesDict({
    'context': Sequence(string),
    'dialog_acts': Sequence({
        'act': ClassLabel(shape=(), dtype=int64, num_classes=18),
        'slot': string,
        'values': Sequence(string),
    }),
    'dialog_id': string,
    'gem_id': string,
    'gem_parent_id': string,
    'prompt': string,
    'references': Sequence(string),
    'service': string,
    'target': string,
    'turn_id': int32,
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
bağlam Sıra(Tensor) (Hiçbiri,) sicim
dialog_acts Sekans
dialog_acts/eylem SınıfEtiketi int64
dialog_acts/yuva tensör sicim
dialog_acts/değerler Sıra(Tensor) (Hiçbiri,) sicim
dialog_id tensör sicim
gem_id tensör sicim
gem_parent_id tensör sicim
çabuk tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
hizmet tensör sicim
hedef tensör sicim
turn_id tensör int32
  • Alıntı :
@article{rastogi2019towards,
  title={Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset},
  author={Rastogi, Abhinav and Zang, Xiaoxue and Sunkara, Srinivas and Gupta, Raghav and Khaitan, Pranav},
  journal={arXiv preprint arXiv:1909.05855},
  year={2019}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

mücevher / toto

  • Yapılandırma açıklaması : ToTTo, Tablodan Metne NLG görevidir. Görev şu şekildedir: Bir hücre alt kümesi vurgulanmış olarak satır adları, sütun adları ve tablo hücreleri içeren bir Wikipedia tablosu verildiğinde, tablonun vurgulanan kısmı için bir doğal dil açıklaması oluşturun.

  • İndirme boyutu : 180.75 MiB

  • Veri kümesi boyutu : 645.86 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Hayır

  • bölmeler :

Bölmek örnekler
'challenge_test_scramble' 500
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test' 7.700
'train' 121.153
'validation' 7.700
  • Özellik yapısı :
FeaturesDict({
    'example_id': string,
    'gem_id': string,
    'gem_parent_id': string,
    'highlighted_cells': Sequence(Sequence(int32)),
    'overlap_subset': string,
    'references': Sequence(string),
    'sentence_annotations': Sequence({
        'final_sentence': string,
        'original_sentence': string,
        'sentence_after_ambiguity': string,
        'sentence_after_deletion': string,
    }),
    'table': Sequence(Sequence({
        'column_span': int32,
        'is_header': bool,
        'row_span': int32,
        'value': string,
    })),
    'table_page_title': string,
    'table_section_text': string,
    'table_section_title': string,
    'table_webpage_url': string,
    'target': string,
    'totto_id': int32,
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
örnek_id tensör sicim
gem_id tensör sicim
gem_parent_id tensör sicim
vurgulanan_hücreler Dizi(Dizi(Tensor)) (Yok, Yok) int32
üst üste binme_altkümesi tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
cümle_annotations Sekans
cümle_annotations/son_sentence tensör sicim
cümle_annotations/original_sentence tensör sicim
cümle_annotations/sentence_after_ambiguity tensör sicim
cümle_annotations/sentence_after_deletion tensör sicim
masa Sekans
tablo/sütun_span tensör int32
tablo/is_header tensör bool
tablo/satır_span tensör int32
tablo/değer tensör sicim
tablo_sayfası_başlığı tensör sicim
tablo_bölümü_metni tensör sicim
tablo_bölümü_başlığı tensör sicim
tablo_web sayfası_url tensör sicim
hedef tensör sicim
totto_id tensör int32
  • Alıntı :
@inproceedings{parikh2020totto,
  title=ToTTo: A Controlled Table-To-Text Generation Dataset,
  author={Parikh, Ankur and Wang, Xuezhi and Gehrmann, Sebastian and Faruqui, Manaal and Dhingra, Bhuwan and Yang, Diyi and Das, Dipanjan},
  booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  pages={1173--1186},
  year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/web_nlg_tr

  • Yapılandırma açıklaması : WebNLG, paralel DBpedia üçlü kümelerinden ve yaklaşık 450 farklı DBpedia özelliğini kapsayan kısa metinlerden oluşan iki dilli bir veri kümesidir (İngilizce, Rusça). WebNLG verileri başlangıçta, kısa metin oluşturabilen ve mikro planlamayı gerçekleştirebilen RDF sözelleştiricilerinin geliştirilmesini desteklemek için oluşturulmuştur.

  • İndirme boyutu : 12.57 MiB

  • Veri kümesi boyutu : 19.91 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Evet

  • bölmeler :

Bölmek örnekler
'challenge_test_numbers' 500
'challenge_test_scramble' 500
'challenge_train_sample' 502
'challenge_validation_sample' 499
'test' 1.779
'train' 35.426
'validation' 1.667
  • Özellik yapısı :
FeaturesDict({
    'category': string,
    'gem_id': string,
    'gem_parent_id': string,
    'input': Sequence(string),
    'references': Sequence(string),
    'target': string,
    'webnlg_id': string,
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
kategori tensör sicim
gem_id tensör sicim
gem_parent_id tensör sicim
giriş Sıra(Tensor) (Hiçbiri,) sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
hedef tensör sicim
webnlg_id tensör sicim
  • Alıntı :
@inproceedings{gardent2017creating,
  author = "Gardent, Claire
    and Shimorina, Anastasia
    and Narayan, Shashi
    and Perez-Beltrachini, Laura",
  title = "Creating Training Corpora for NLG Micro-Planners",
  booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
  year = "2017",
  publisher = "Association for Computational Linguistics",
  pages = "179--188",
  location = "Vancouver, Canada",
  doi = "10.18653/v1/P17-1017",
  url = "http://www.aclweb.org/anthology/P17-1017"
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/web_nlg_ru

  • Yapılandırma açıklaması : WebNLG, paralel DBpedia üçlü kümelerinden ve yaklaşık 450 farklı DBpedia özelliğini kapsayan kısa metinlerden oluşan iki dilli bir veri kümesidir (İngilizce, Rusça). WebNLG verileri başlangıçta, kısa metin oluşturabilen ve mikro planlamayı gerçekleştirebilen RDF sözelleştiricilerinin geliştirilmesini desteklemek için oluşturulmuştur.

  • İndirme boyutu : 7.49 MiB

  • Veri kümesi boyutu : 11.30 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Evet

  • bölmeler :

Bölmek örnekler
'challenge_test_scramble' 500
'challenge_train_sample' 501
'challenge_validation_sample' 500
'test' 1.102
'train' 14.630
'validation' 790
  • Özellik yapısı :
FeaturesDict({
    'category': string,
    'gem_id': string,
    'gem_parent_id': string,
    'input': Sequence(string),
    'references': Sequence(string),
    'target': string,
    'webnlg_id': string,
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
kategori tensör sicim
gem_id tensör sicim
gem_parent_id tensör sicim
giriş Sıra(Tensor) (Hiçbiri,) sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
hedef tensör sicim
webnlg_id tensör sicim
  • Alıntı :
@inproceedings{gardent2017creating,
  author = "Gardent, Claire
    and Shimorina, Anastasia
    and Narayan, Shashi
    and Perez-Beltrachini, Laura",
  title = "Creating Training Corpora for NLG Micro-Planners",
  booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
  year = "2017",
  publisher = "Association for Computational Linguistics",
  pages = "179--188",
  location = "Vancouver, Canada",
  doi = "10.18653/v1/P17-1017",
  url = "http://www.aclweb.org/anthology/P17-1017"
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_auto_asset_turk

  • Yapılandırma açıklaması : WikiAuto, cümle basitleştirme sistemlerini eğitmek için bir kaynak olarak İngilizce Wikipedia ve Basit İngilizce Wikipedia'dan bir dizi hizalanmış cümle sağlar. ASSET ve TURK, test için kullanılan yüksek kaliteli basitleştirme veri kümeleridir.

  • İndirme boyutu : 121.01 MiB

  • Veri kümesi boyutu : 202.40 MiB

  • Auto-cached ( documentation ): Yes (challenge_test_asset_backtranslation, challenge_test_asset_bfp02, challenge_test_asset_bfp05, challenge_test_asset_nopunc, challenge_test_turk_backtranslation, challenge_test_turk_bfp02, challenge_test_turk_bfp05, challenge_test_turk_nopunc, challenge_train_sample, challenge_validation_sample, test_asset, test_turk, validation), Only when shuffle_files=False (train)

  • bölmeler :

Bölmek örnekler
'challenge_test_asset_backtranslation' 359
'challenge_test_asset_bfp02' 359
'challenge_test_asset_bfp05' 359
'challenge_test_asset_nopunc' 359
'challenge_test_turk_backtranslation' 359
'challenge_test_turk_bfp02' 359
'challenge_test_turk_bfp05' 359
'challenge_test_turk_nopunc' 359
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test_asset' 359
'test_turk' 359
'train' 483.801
'validation' 20.000
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'target': string,
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
hedef tensör sicim
  • Alıntı :
@inproceedings{jiang-etal-2020-neural,
    title = "Neural {CRF} Model for Sentence Alignment in Text Simplification",
    author = "Jiang, Chao  and
      Maddela, Mounica  and
      Lan, Wuwei  and
      Zhong, Yang  and
      Xu, Wei",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.acl-main.709",
    doi = "10.18653/v1/2020.acl-main.709",
    pages = "7943--7960",
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

mücevher/xsum

  • Yapılandırma açıklaması : Veri kümesi, en uç haliyle soyutlayıcı özetleme görevi içindir, bir belgeyi tek bir cümlede özetlemekle ilgilidir.

  • İndirme boyutu : 246.31 MiB

  • Veri kümesi boyutu : 78.89 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Evet

  • bölmeler :

Bölmek örnekler
'challenge_test_backtranslation' 500
'challenge_test_bfp_02' 500
'challenge_test_bfp_05' 500
'challenge_test_covid' 401
'challenge_test_nopunc' 500
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test' 1.166
'train' 23.206
'validation' 1.117
  • Özellik yapısı :
FeaturesDict({
    'document': string,
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'target': string,
    'xsum_id': string,
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
belge tensör sicim
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
hedef tensör sicim
xsum_id tensör sicim
  • Alıntı :
@inproceedings{Narayan2018dont,
  author = "Shashi Narayan and Shay B. Cohen and Mirella Lapata",
  title = "Don't Give Me the Details, Just the Summary! {T}opic-Aware Convolutional Neural Networks for Extreme Summarization",
  booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing ",
  year = "2018",
  address = "Brussels, Belgium",
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_arabic_ar

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 56.25 MiB

  • Veri kümesi boyutu : 291.42 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Hayır

  • bölmeler :

Bölmek örnekler
'test' 5.841
'train' 20.441
'validation' 2.919
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'ar': Text(shape=(), dtype=string),
        'en': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'ar': Text(shape=(), dtype=string),
        'en': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
kaynak_hizalı/ar Metin sicim
source_aligned/tr Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_hizalı/ar Metin sicim
hedef_aligned/tr Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_chinese_zh

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 31.38 MiB

  • Veri kümesi boyutu : 122.06 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Evet

  • bölmeler :

Bölmek örnekler
'test' 3.775
'train' 13.211
'validation' 1.886
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'zh': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'zh': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
kaynak_aligned/zh Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
hedef_aligned/zh Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_czech_cs

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 13.84 MiB

  • Veri kümesi boyutu : 58.05 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Evet

  • bölmeler :

Bölmek örnekler
'test' 1.438
'train' 5.033
'validation' 718
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'cs': Text(shape=(), dtype=string),
        'en': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'cs': Text(shape=(), dtype=string),
        'en': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
kaynak_aligned/cs Metin sicim
source_aligned/tr Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_hizalı/cs Metin sicim
hedef_aligned/tr Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_dutch_nl

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 53.88 MiB

  • Veri kümesi boyutu : 237.97 MiB

  • Otomatik önbelleğe alınmış ( belgeler ): Evet (test, doğrulama), Yalnızca shuffle_files=False (tren) olduğunda

  • bölmeler :

Bölmek örnekler
'test' 6.248
'train' 21.866
'validation' 3.123
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'nl': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'nl': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
kaynak_aligned/nl Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
hedef_hizalı/nl Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_english_en

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 112.56 MiB

  • Veri kümesi boyutu : 657.51 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Hayır

  • bölmeler :

Bölmek örnekler
'test' 28.614
'train' 99.020
'validation' 13.823
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_french_fr

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 113.26 MiB

  • Veri kümesi boyutu : 522.28 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Hayır

  • bölmeler :

Bölmek örnekler
'test' 12.731
'train' 44.556
'validation' 6.364
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'fr': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'fr': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
kaynak_hizalanmış/fr Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
hedef_hizalı/fr Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_german_de

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 102.65 MiB

  • Veri kümesi boyutu : 452.46 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Hayır

  • bölmeler :

Bölmek örnekler
'test' 11.669
'train' 40.839
'validation' 5.833
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'de': Text(shape=(), dtype=string),
        'en': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'de': Text(shape=(), dtype=string),
        'en': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
kaynak_aligned/de Metin sicim
source_aligned/tr Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_hizalı/de Metin sicim
hedef_aligned/tr Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_hindi_hi

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 20.07 MiB

  • Veri kümesi boyutu : 138.06 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Evet

  • bölmeler :

Bölmek örnekler
'test' 1.984
'train' 6.942
'validation' 991
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'hi': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'hi': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
source_aligned/merhaba Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
target_aligned/merhaba Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_indonesian_id

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 80.08 MiB

  • Veri kümesi boyutu : 370.63 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Hayır

  • bölmeler :

Bölmek örnekler
'test' 9.497
'train' 33.237
'validation' 4.747
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'id': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'id': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
kaynak_hizalı/kimlik Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
hedef_hizalı/kimlik Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_italian_it

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 84.80 MiB

  • Veri kümesi boyutu : 374.40 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Hayır

  • bölmeler :

Bölmek örnekler
'test' 10.189
'train' 35.661
'validation' 5.093
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'it': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'it': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
kaynak_aligned/it Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
hedef_hizalı/it Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_japanese_ja

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 21.75 MiB

  • Veri kümesi boyutu : 103.19 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Evet

  • bölmeler :

Bölmek örnekler
'test' 2.530
'train' 8.853
'validation' 1.264
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'ja': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'ja': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
kaynak_hizalanmış/ja Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
hedef_hizalı/ja Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_korean_ko

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 22.26 MiB

  • Veri kümesi boyutu : 102.35 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Evet

  • bölmeler :

Bölmek örnekler
'test' 2.436
'train' 8.524
'validation' 1.216
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'ko': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'ko': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
source_aligned/ko Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
target_aligned/ko Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_portuguese_pt

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 131.17 MiB

  • Veri kümesi boyutu : 570.46 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Hayır

  • bölmeler :

Bölmek örnekler
'test' 16.331
'train' 57.159
'validation' 8.165
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'pt': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'pt': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
kaynak_hizalı/pt Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
hedef_hizalı/nokta Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

mücevher/wiki_lingua_russian_ru

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 101.36 MiB

  • Veri kümesi boyutu : 564.69 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Hayır

  • bölmeler :

Bölmek örnekler
'test' 10.580
'train' 37.028
'validation' 5.288
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'ru': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'ru': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
kaynak_aligned/ru Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
hedef_hizalı/ru Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_spanish_es

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 189.06 MiB

  • Veri kümesi boyutu : 849.75 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Hayır

  • bölmeler :

Bölmek örnekler
'test' 22.632
'train' 79.212
'validation' 11.316
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'es': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'es': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
kaynak_aligned/es Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
hedef_aligned/es Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_thai_th

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 28.60 MiB

  • Veri kümesi boyutu : 193.77 MiB

  • Otomatik önbelleğe alınmış ( belgeler ): Evet (test, doğrulama), Yalnızca shuffle_files=False (tren) olduğunda

  • bölmeler :

Bölmek örnekler
'test' 2.950
'train' 10.325
'validation' 1.475
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'th': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'th': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
kaynak_hizalı/th Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
hedef_hizalı/th Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_turkish_tr

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 6.73 MiB

  • Veri kümesi boyutu : 30.75 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Evet

  • bölmeler :

Bölmek örnekler
'test' 900
'train' 3.148
'validation' 449
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'tr': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'tr': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
kaynak_hizalı/tr Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
hedef_hizalı/tr Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."

gem/wiki_lingua_vietnamese_vi

  • Yapılandırma açıklaması : Wikilingua, diller arası soyutlayıcı özetleme sistemlerinin değerlendirilmesi için büyük ölçekli, çok dilli bir veri kümesidir.

  • İndirme boyutu : 36.27 MiB

  • Veri kümesi boyutu : 179.77 MiB

  • Otomatik önbelleğe alınmış ( belgeleme ): Evet

  • bölmeler :

Bölmek örnekler
'test' 3.917
'train' 13.707
'validation' 1.957
  • Özellik yapısı :
FeaturesDict({
    'gem_id': string,
    'gem_parent_id': string,
    'references': Sequence(string),
    'source': string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'vi': Text(shape=(), dtype=string),
    }),
    'target': string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=string),
        'vi': Text(shape=(), dtype=string),
    }),
})
  • Özellik belgeleri :
Özellik Sınıf Şekil Dtipi Tanım
ÖzelliklerDict
gem_id tensör sicim
gem_parent_id tensör sicim
Referanslar Sıra(Tensor) (Hiçbiri,) sicim
kaynak tensör sicim
kaynak_hizalı Tercüme
source_aligned/tr Metin sicim
kaynak_hizalı/vi Metin sicim
hedef tensör sicim
hedef_hizalı Tercüme
hedef_aligned/tr Metin sicim
hedef_hizalı/vi Metin sicim
  • Alıntı :
@inproceedings{ladhak-wiki-2020,
title=WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization,
author={Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
booktitle={Findings of EMNLP, 2020},
year={2020}
}
@article{gehrmann2021gem,
  author    = {Sebastian Gehrmann and
               Tosin P. Adewumi and
               Karmanya Aggarwal and
               Pawan Sasanka Ammanamanchi and
               Aremu Anuoluwapo and
               Antoine Bosselut and
               Khyathi Raghavi Chandu and
               Miruna{-}Adriana Clinciu and
               Dipanjan Das and
               Kaustubh D. Dhole and
               Wanyu Du and
               Esin Durmus and
               Ondrej Dusek and
               Chris Emezue and
               Varun Gangal and
               Cristina Garbacea and
               Tatsunori Hashimoto and
               Yufang Hou and
               Yacine Jernite and
               Harsh Jhamtani and
               Yangfeng Ji and
               Shailza Jolly and
               Dhruv Kumar and
               Faisal Ladhak and
               Aman Madaan and
               Mounica Maddela and
               Khyati Mahajan and
               Saad Mahamood and
               Bodhisattwa Prasad Majumder and
               Pedro Henrique Martins and
               Angelina McMillan{-}Major and
               Simon Mille and
               Emiel van Miltenburg and
               Moin Nadeem and
               Shashi Narayan and
               Vitaly Nikolaev and
               Rubungo Andre Niyongabo and
               Salomey Osei and
               Ankur P. Parikh and
               Laura Perez{-}Beltrachini and
               Niranjan Ramesh Rao and
               Vikas Raunak and
               Juan Diego Rodriguez and
               Sashank Santhanam and
               Jo{\~{a} }o Sedoc and
               Thibault Sellam and
               Samira Shaikh and
               Anastasia Shimorina and
               Marco Antonio Sobrevilla Cabezudo and
               Hendrik Strobelt and
               Nishant Subramani and
               Wei Xu and
               Diyi Yang and
               Akhila Yerukola and
               Jiawei Zhou},
  title     = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
               Metrics},
  journal   = {CoRR},
  volume    = {abs/2102.01672},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.01672},
  archivePrefix = {arXiv},
  eprint    = {2102.01672}
}

Note that each GEM dataset has its own citation. Please see the source to see
the correct citation for each contained dataset."