एमएल समुदाय दिवस 9 नवंबर है! TensorFlow, JAX से नई जानकारी के लिए हमसे जुड़ें, और अधिक जानें

रत्न

  • विवरण:

जीईएम दोनों मानव एनोटेशन और स्वचालित मेट्रिक्स के माध्यम से, अपने मूल्यांकन पर ध्यान देने के साथ प्राकृतिक भाषा पीढ़ी के लिए एक बेंचमार्क माहौल है।

GEM का लक्ष्य है: (1) कई NLG कार्यों और भाषाओं में फैले 13 डेटासेट में NLG प्रगति को मापना। (२) डेटा स्टेटमेंट और चैलेंज सेट के माध्यम से प्रस्तुत डेटा और मॉडल का गहन विश्लेषण प्रदान करें। (३) स्वचालित और मानव मीट्रिक दोनों का उपयोग करके उत्पन्न पाठ के मूल्यांकन के लिए मानक विकसित करना।

अधिक जानकारी में पाया जा सकता https://gem-benchmark.com

  • होमपेज: https://gem-benchmark.com

  • स्रोत कोड: tfds.text.gem.Gem

  • संस्करण:

    • 1.0.0 : प्रारंभिक संस्करण
    • 1.0.1 : अद्यतन MLSum के लिए बुरा लिंक फिल्टर
    • 1.1.0 (डिफ़ॉल्ट): चैलेंज सेट की रिहाई
  • पर्यवेक्षित कुंजियों (देखें as_supervised डॉक ): None

  • चित्रा ( tfds.show_examples ): समर्थित नहीं।

मणि/common_gen (डिफ़ॉल्ट कॉन्फ़िगरेशन)

  • कॉन्फ़िग विवरण: CommonGen एक कंस्ट्रेन्ड पाठ पीढ़ी कार्य, एक बेंचमार्क डाटासेट, उत्पादक commonsense तर्क की क्षमता के लिए स्पष्ट रूप से परीक्षण मशीनों के साथ जुड़े है। सामान्य अवधारणाओं के एक सेट को देखते हुए; कार्य इन अवधारणाओं का उपयोग करके रोजमर्रा के परिदृश्य का वर्णन करते हुए एक सुसंगत वाक्य उत्पन्न करना है।

  • डाउनलोड का आकार: 1.84 MiB

  • डेटासेट का आकार: 16.84 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ

  • विभाजन:

विभाजित करना उदाहरण
'challenge_test_scramble' 500
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test' 1,497
'train' 67,389
'validation' ९९३
  • विशेषताएं:
FeaturesDict({
    'concept_set_id': tf.int32,
    'concepts': Sequence(tf.string),
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'target': tf.string,
})
  • प्रशस्ति पत्र:
@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."

मणि/सीएस_रेस्तरां

  • कॉन्फ़िग विवरण: काम के लिए एक (काल्पनिक) संवाद प्रणाली है कि रेस्तरां के बारे में जानकारी प्रदान करता है के संदर्भ में प्रतिक्रियाओं पैदा कर रहा है। इनपुट एक बुनियादी आशय/संवाद अधिनियम प्रकार और स्लॉट्स (विशेषताओं) और उनके मूल्यों की एक सूची है। आउटपुट एक प्राकृतिक भाषा वाक्य है।

  • डाउनलोड का आकार: 1.46 MiB

  • डेटासेट का आकार: 2.71 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ

  • विभाजन:

विभाजित करना उदाहरण
'challenge_test_scramble' 500
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test' 842
'train' 3,569
'validation' 781
  • विशेषताएं:
FeaturesDict({
    'dialog_act': tf.string,
    'dialog_act_delexicalized': tf.string,
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'target': tf.string,
    'target_delexicalized': tf.string,
})
  • प्रशस्ति पत्र:
@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."

मणि/डार्ट

  • कॉन्फ़िग विवरण: डार्ट एक बड़े और खुले डोमेन प्रत्येक इनपुट निम्नलिखित इकाई-संबंध ट्रिपल का एक सेट होने के साथ उच्च गुणवत्ता वाले वाक्य एनोटेशन के साथ संरचित पाठ पीढ़ी कोष के लिए डेटा रिकॉर्ड है एक सत्तामीमांसा पेड़ से संरचित।

  • डाउनलोड का आकार: 28.01 MiB

  • डेटासेट का आकार: 33.78 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ

  • विभाजन:

विभाजित करना उदाहरण
'test' 6,959
'train' 62,659
'validation' 2,768
  • विशेषताएं:
FeaturesDict({
    'dart_id': tf.int32,
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'subtree_was_extended': tf.bool,
    'target': tf.string,
    'target_sources': Sequence(tf.string),
    'tripleset': Sequence(tf.string),
})
  • प्रशस्ति पत्र:
@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."

रत्न/e2e_nlg

  • कॉन्फ़िग विवरण: E2E डाटासेट एक सीमित डोमेन डेटा से पाठ कार्य के लिए डिज़ाइन किया गया है - 8 अलग-अलग विशेषताओं (नाम, क्षेत्र, मूल्य सीमा आदि) के लिए ऊपर के आधार पर रेस्तरां विवरण / सिफारिशों की पीढ़ी

  • डाउनलोड का आकार: 13.99 MiB

  • डेटासेट का आकार: 16.92 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ

  • विभाजन:

विभाजित करना उदाहरण
'challenge_test_scramble' 500
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test' 4,693
'train' 33,525
'validation' 4,299
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'meaning_representation': tf.string,
    'references': Sequence(tf.string),
    'target': tf.string,
})
  • प्रशस्ति पत्र:
@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."

रत्न/mlsum_de

  • कॉन्फ़िग विवरण: MLSum एक बड़े पैमाने पर बहुभाषी संक्षिप्तीकरण डाटासेट है। यह ऑनलाइन समाचार आउटलेट से बनाया गया है, यह विभाजन जर्मन पर केंद्रित है।

  • डाउनलोड का आकार: 345.98 MiB

  • डेटासेट का आकार: 963.60 MiB

  • ऑटो-कैश ( प्रलेखन ): नहीं

  • विभाजन:

विभाजित करना उदाहरण
'challenge_test_covid' 5,058
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test' १०,६९५
'train' २२०,७४८
'validation' ११,३९२
  • विशेषताएं:
FeaturesDict({
    'date': tf.string,
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'target': tf.string,
    'text': tf.string,
    'title': tf.string,
    'topic': tf.string,
    'url': tf.string,
})
  • प्रशस्ति पत्र:
@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."

रत्न/mlsum_es

  • कॉन्फ़िग विवरण: MLSum एक बड़े पैमाने पर बहुभाषी संक्षिप्तीकरण डाटासेट है। यह ऑनलाइन समाचार आउटलेट से बनाया गया है, यह विभाजन स्पेनिश पर केंद्रित है।

  • डाउनलोड का आकार: 501.27 MiB

  • डेटासेट का आकार: 1.29 GiB

  • ऑटो-कैश ( प्रलेखन ): नहीं

  • विभाजन:

विभाजित करना उदाहरण
'challenge_test_covid' 1,938
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test' १३,३६६
'train' २५९,८८८
'validation' 9,977
  • विशेषताएं:
FeaturesDict({
    'date': tf.string,
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'target': tf.string,
    'text': tf.string,
    'title': tf.string,
    'topic': tf.string,
    'url': tf.string,
})
  • प्रशस्ति पत्र:
@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."

रत्न/स्कीमा_निर्देशित_संवाद

  • कॉन्फ़िग विवरण: स्कीमा-गाइडेड वार्ता (SGD) डाटासेट एक मानव और एक आभासी सहायक है, जो 17 बैंकों और घटनाओं से करने के लिए मीडिया, कैलेंडर, यात्रा, और मौसम लेकर डोमेन को शामिल किया गया के बीच 18K बहु-डोमेन कार्य उन्मुख संवाद होता है।

  • डाउनलोड का आकार: 17.00 MiB

  • डेटासेट का आकार: 201.19 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ (challenge_test_backtranslation, challenge_test_bfp02, challenge_test_bfp05, challenge_test_nopunc, challenge_test_scramble, challenge_train_sample, challenge_validation_sample, परीक्षण, सत्यापन), केवल जब shuffle_files=False (ट्रेन)

  • विभाजन:

विभाजित करना उदाहरण
'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' १६४,९८२
'validation' 10,000
  • विशेषताएं:
FeaturesDict({
    'context': Sequence(tf.string),
    'dialog_acts': Sequence({
        'act': ClassLabel(shape=(), dtype=tf.int64, num_classes=18),
        'slot': tf.string,
        'values': Sequence(tf.string),
    }),
    'dialog_id': tf.string,
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'prompt': tf.string,
    'references': Sequence(tf.string),
    'service': tf.string,
    'target': tf.string,
    'turn_id': tf.int32,
})
  • प्रशस्ति पत्र:
@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."

मणि/टोटो

  • कॉन्फ़िग विवरण: Totto एक टेबल-टू-पाठ NLG काम है। कार्य इस प्रकार है: एक विकिपीडिया तालिका को पंक्ति नाम, स्तंभ नाम और तालिका कक्षों के साथ, हाइलाइट किए गए कक्षों के सबसेट के साथ, तालिका के हाइलाइट किए गए भाग के लिए एक प्राकृतिक भाषा विवरण उत्पन्न करें।

  • डाउनलोड का आकार: 180.75 MiB

  • डेटासेट का आकार: 645.86 MiB

  • ऑटो-कैश ( प्रलेखन ): नहीं

  • विभाजन:

विभाजित करना उदाहरण
'challenge_test_scramble' 500
'challenge_train_sample' 500
'challenge_validation_sample' 500
'test' 7,700
'train' १२१,१५३
'validation' 7,700
  • विशेषताएं:
FeaturesDict({
    'example_id': tf.string,
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'highlighted_cells': Sequence(Sequence(tf.int32)),
    'overlap_subset': tf.string,
    'references': Sequence(tf.string),
    'sentence_annotations': Sequence({
        'final_sentence': tf.string,
        'original_sentence': tf.string,
        'sentence_after_ambiguity': tf.string,
        'sentence_after_deletion': tf.string,
    }),
    'table': Sequence(Sequence({
        'column_span': tf.int32,
        'is_header': tf.bool,
        'row_span': tf.int32,
        'value': tf.string,
    })),
    'table_page_title': tf.string,
    'table_section_text': tf.string,
    'table_section_title': tf.string,
    'table_webpage_url': tf.string,
    'target': tf.string,
    'totto_id': tf.int32,
})
  • प्रशस्ति पत्र:
@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."

मणि/web_nlg_en

  • कॉन्फ़िग विवरण: WebNLG एक द्वि-बहुभाषी डाटासेट समानांतर DBpedia ट्रिपल सेट और कम ग्रंथों के बारे में कवर 450 विभिन्न DBpedia गुणों का (अंग्रेजी, रूसी) है। वेबएनएलजी डेटा मूल रूप से आरडीएफ वर्बलाइज़र के विकास को बढ़ावा देने के लिए बनाया गया था जो लघु पाठ उत्पन्न करने और माइक्रो-प्लानिंग को संभालने में सक्षम था।

  • डाउनलोड का आकार: 12.57 MiB

  • डेटासेट का आकार: 19.91 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ

  • विभाजन:

विभाजित करना उदाहरण
'challenge_test_numbers' 500
'challenge_test_scramble' 500
'challenge_train_sample' 502
'challenge_validation_sample' 499
'test' १,७७९
'train' 35,426
'validation' 1,667
  • विशेषताएं:
FeaturesDict({
    'category': tf.string,
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'input': Sequence(tf.string),
    'references': Sequence(tf.string),
    'target': tf.string,
    'webnlg_id': tf.string,
})
  • प्रशस्ति पत्र:
@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."

रत्न/web_nlg_ru

  • कॉन्फ़िग विवरण: WebNLG एक द्वि-बहुभाषी डाटासेट समानांतर DBpedia ट्रिपल सेट और कम ग्रंथों के बारे में कवर 450 विभिन्न DBpedia गुणों का (अंग्रेजी, रूसी) है। वेबएनएलजी डेटा मूल रूप से आरडीएफ वर्बलाइज़र के विकास को बढ़ावा देने के लिए बनाया गया था जो लघु पाठ उत्पन्न करने और माइक्रो-प्लानिंग को संभालने में सक्षम था।

  • डाउनलोड का आकार: 7.49 MiB

  • डेटासेट का आकार: 11.30 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ

  • विभाजन:

विभाजित करना उदाहरण
'challenge_test_scramble' 500
'challenge_train_sample' 501
'challenge_validation_sample' 500
'test' १,१०२
'train' १४,६३०
'validation' 790
  • विशेषताएं:
FeaturesDict({
    'category': tf.string,
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'input': Sequence(tf.string),
    'references': Sequence(tf.string),
    'target': tf.string,
    'webnlg_id': tf.string,
})
  • प्रशस्ति पत्र:
@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."

रत्न/wiki_auto_asset_turk

  • कॉन्फ़िग विवरण: WikiAuto एक संसाधन वाक्य सरलीकरण सिस्टम को प्रशिक्षित करने के रूप में अंग्रेजी विकिपीडिया और सरल अंग्रेजी विकिपीडिया से गठबंधन वाक्य का एक सेट प्रदान करता है। ASSET और TURK उच्च गुणवत्ता वाले सरलीकरण डेटासेट हैं जिनका उपयोग परीक्षण के लिए किया जाता है।

  • डाउनलोड का आकार: 121.01 MiB

  • डेटासेट का आकार: 202.40 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ (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, मान्यता), केवल जब shuffle_files=False (ट्रेन)

  • विभाजन:

विभाजित करना उदाहरण
'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' २०,०००
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'target': tf.string,
})
  • प्रशस्ति पत्र:
@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."

रत्न/xsum

  • कॉन्फ़िग विवरण: डाटासेट अपने चरम रूप में भावात्मक संक्षिप्तीकरण के कार्य के लिए, एक एक वाक्य में एक दस्तावेज़ का सारांश के बारे में अपनी।

  • डाउनलोड का आकार: 246.31 MiB

  • डेटासेट का आकार: 78.89 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ

  • विभाजन:

विभाजित करना उदाहरण
'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' २३,२०६
'validation' 1,117
  • विशेषताएं:
FeaturesDict({
    'document': tf.string,
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'target': tf.string,
    'xsum_id': tf.string,
})
  • प्रशस्ति पत्र:
@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."

रत्न/wiki_lingua_arabic_ar

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 56.25 MiB

  • डेटासेट का आकार: 291.42 MiB

  • ऑटो-कैश ( प्रलेखन ): नहीं

  • विभाजन:

विभाजित करना उदाहरण
'test' 5,841
'train' 20,441
'validation' २,९१९
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'ar': Text(shape=(), dtype=tf.string),
        'en': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'ar': Text(shape=(), dtype=tf.string),
        'en': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

रत्न/wiki_lingua_chinese_zh

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 31.38 MiB

  • डेटासेट का आकार: 122.06 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ

  • विभाजन:

विभाजित करना उदाहरण
'test' 3,775
'train' १३,२११
'validation' 1,886
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'zh': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'zh': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

मणि/विकी_लिंगुआ_चेक_सीएस

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 13.84 MiB

  • डेटासेट का आकार: 58.05 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ

  • विभाजन:

विभाजित करना उदाहरण
'test' 1,438
'train' 5,033
'validation' 718
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'cs': Text(shape=(), dtype=tf.string),
        'en': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'cs': Text(shape=(), dtype=tf.string),
        'en': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

रत्न/wiki_lingua_dutch_nl

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 53.88 MiB

  • डेटासेट का आकार: 237.97 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ (परीक्षण, सत्यापन), केवल जब shuffle_files=False (ट्रेन)

  • विभाजन:

विभाजित करना उदाहरण
'test' 6,248
'train' २१,८६६
'validation' 3,123
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'nl': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'nl': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

मणि/wiki_lingua_english_en

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 112.56 MiB

  • डेटासेट का आकार: 657.51 MiB

  • ऑटो-कैश ( प्रलेखन ): नहीं

  • विभाजन:

विभाजित करना उदाहरण
'test' 28,614
'train' 99,020
'validation' १३,८२३
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

रत्न/wiki_lingua_french_fr

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 113.26 MiB

  • डेटासेट का आकार: 522.28 MiB

  • ऑटो-कैश ( प्रलेखन ): नहीं

  • विभाजन:

विभाजित करना उदाहरण
'test' 12,731
'train' ४४,५५६
'validation' 6,364
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'fr': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'fr': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

रत्न/wiki_lingua_german_de

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 102.65 MiB

  • डेटासेट का आकार: 452.46 MiB

  • ऑटो-कैश ( प्रलेखन ): नहीं

  • विभाजन:

विभाजित करना उदाहरण
'test' ११,६६९
'train' 40,839
'validation' ५,८३३
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'de': Text(shape=(), dtype=tf.string),
        'en': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'de': Text(shape=(), dtype=tf.string),
        'en': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

रत्न/wiki_lingua_hindi_hi

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 20.07 MiB

  • डेटासेट का आकार: 138.06 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ

  • विभाजन:

विभाजित करना उदाहरण
'test' 1,984
'train' 6,942
'validation' 991
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'hi': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'hi': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

मणि/विकी_लिंगुआ_इंडोनेशियाई_आईडी

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 80.08 MiB

  • डेटासेट का आकार: 370.63 MiB

  • ऑटो-कैश ( प्रलेखन ): नहीं

  • विभाजन:

विभाजित करना उदाहरण
'test' 9,497
'train' 33,237
'validation' 4,747
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'id': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'id': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

रत्न/wiki_lingua_italian_it

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 84.80 MiB

  • डेटासेट का आकार: 374.40 MiB

  • ऑटो-कैश ( प्रलेखन ): नहीं

  • विभाजन:

विभाजित करना उदाहरण
'test' १०,१८९
'train' 35,661
'validation' 5,093
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'it': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'it': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

रत्न/wiki_lingua_japanese_ja

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 21.75 MiB

  • डेटासेट का आकार: 103.19 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ

  • विभाजन:

विभाजित करना उदाहरण
'test' २,५३०
'train' 8,853
'validation' 1,264
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'ja': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'ja': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

रत्न/wiki_lingua_korean_ko

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 22.26 MiB

  • डेटासेट का आकार: 102.35 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ

  • विभाजन:

विभाजित करना उदाहरण
'test' २,४३६
'train' 8,524
'validation' 1,216
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'ko': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'ko': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

रत्न/wiki_lingua_portuguese_pt

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 131.17 MiB

  • डेटासेट का आकार: 570.46 MiB

  • ऑटो-कैश ( प्रलेखन ): नहीं

  • विभाजन:

विभाजित करना उदाहरण
'test' १६,३३१
'train' 57,159
'validation' 8,165
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'pt': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'pt': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

रत्न/wiki_lingua_russian_ru

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 101.36 MiB

  • डेटासेट का आकार: 564.69 MiB

  • ऑटो-कैश ( प्रलेखन ): नहीं

  • विभाजन:

विभाजित करना उदाहरण
'test' १०,५८०
'train' 37,028
'validation' 5,288
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'ru': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'ru': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

मणि/विकी_लिंगुआ_स्पैनिश_एस

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 189.06 MiB

  • डेटासेट का आकार: 849.75 MiB

  • ऑटो-कैश ( प्रलेखन ): नहीं

  • विभाजन:

विभाजित करना उदाहरण
'test' 22,632
'train' 79,212
'validation' 11,316
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'es': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'es': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

रत्न/wiki_lingua_thai_th

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 28.60 MiB

  • डेटासेट का आकार: 193.77 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ (परीक्षण, सत्यापन), केवल जब shuffle_files=False (ट्रेन)

  • विभाजन:

विभाजित करना उदाहरण
'test' २,९५०
'train' १०,३२५
'validation' 1,475
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'th': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'th': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

रत्न/wiki_lingua_turkish_tr

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 6.73 MiB

  • डेटासेट का आकार: 30.75 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ

  • विभाजन:

विभाजित करना उदाहरण
'test' 900
'train' 3,148
'validation' 449
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'tr': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'tr': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."

मणि/विकी_लिंगुआ_वियतनामी_vi

  • कॉन्फ़िग विवरण: Wikilingua एक बड़े पैमाने पर, पार बहुभाषी भाववाचक संक्षिप्तीकरण प्रणालियों के मूल्यांकन के लिए बहुभाषी डाटासेट है ..

  • डाउनलोड का आकार: 36.27 MiB

  • डेटासेट का आकार: 179.77 MiB

  • ऑटो-कैश ( प्रलेखन ): हाँ

  • विभाजन:

विभाजित करना उदाहरण
'test' 3,917
'train' १३,७०७
'validation' 1,957
  • विशेषताएं:
FeaturesDict({
    'gem_id': tf.string,
    'gem_parent_id': tf.string,
    'references': Sequence(tf.string),
    'source': tf.string,
    'source_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'vi': Text(shape=(), dtype=tf.string),
    }),
    'target': tf.string,
    'target_aligned': Translation({
        'en': Text(shape=(), dtype=tf.string),
        'vi': Text(shape=(), dtype=tf.string),
    }),
})
  • प्रशस्ति पत्र:
@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."