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grammarly
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coedit

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train · 69.1k rows

_id stringlengths 1 5	task stringclasses 6 values	src stringlengths 22 884	tgt stringlengths 1 697
67801	coherence	Fix coherence in the sentence: O' my child, make yourself the measure (for dealings) between you and others. You should desire for others what you desire for yourself and hate for others what you hate for yourself.	O' my child, make yourself the measure (for dealings) between you and others. Thus, you should desire for others what you desire for yourself and hate for others what you hate for yourself.
67802	coherence	Fix coherence errors: Frankie and Marla have both got some making up to do. Have they messed up too much to be forgiven?	Frankie and Marla have both got some making up to do, but have they messed up too much to be forgiven?
67803	coherence	Improve the consistency of the text: John Wiley a math and science competition for middle school students. John Wiley is a mentor of a finalist in the 2015 Broadcom MASTERS.	John Wiley, a mentor of a finalist in the 2015 Broadcom MASTERS, a math and science competition for middle school students.
67804	coherence	Make the text clearer: Unit pricing was originally designed as a device to enable customers to make comparisons between grocery products of different sizes and brand,. Enabling informed purchase decisions.	Unit pricing was originally designed as a device to enable customers to make comparisons between grocery products of different sizes and brand, hence enabling informed purchase decisions.
67805	coherence	Improve the cohesiveness of the text: In addition, even testing for known GMOs is time-consuming and costly, as current reliable detection methods can test for only one GMO at a time. Research programmes such as Co-Extra are developing improved and alternative testing methods, for example DNA microarrays.	In addition, even testing for known GMOs is time-consuming and costly, as current reliable detection methods can test for only one GMO at a time. Therefore, research programmes such as Co-Extra are developing improved and alternative testing methods, for example DNA microarrays.
67806	coherence	Make the text more consistent: Ophelia Shalini Venturelli a science competition for high school seniors. Ophelia Shalini Venturelli is a finalist in the 2002 Intel Science Talent Search.	Ophelia Shalini Venturelli, a finalist in the 2002 Intel Science Talent Search, a science competition for high school seniors.
67807	coherence	Make the text coherent: The game was also reviewed in USA TODAY and got press coverage in Canada's national newspaper The Toronto Star and The Ottawa Citizen. Canada's national newspaper is the Globe and Mail.	The game was also reviewed in USA TODAY and got press coverage in Canada's national newspaper, The Globe and Mail, The Toronto Star and The Ottawa Citizen.
67808	coherence	Make the text coherent: Cupples IEEE Trans. Cupples is a comparison of speaker identification results using features based on cepstrum and Fourier -- Bessel expansion.	Cupples, A comparison of speaker identification results using features based on cepstrum and Fourier -- Bessel expansion, IEEE Trans.
67809	coherence	Make the text more consistent: Jump up ^ Allen 26 -- 27. Allen is the Port Chicago Mutiny.	Jump up ^ Allen, The Port Chicago Mutiny, 26 -- 27.
67810	coherence	Fix coherence mistakes in this sentence: Jump up ^ Colgrave & Mynors pp. xxxix -- xl. Colgrave & Mynors is bede's Ecclesiastical History.	Jump up ^ Colgrave & Mynors, Bede's Ecclesiastical History, pp. xxxix -- xl.
67811	coherence	Fix coherence mistakes in this sentence: Many soldiers have large heads with highly modified powerful jaws so enlarged they can not feed themselves. Like juveniles, soldiers are fed by workers.	Many soldiers have large heads with highly modified powerful jaws so enlarged they can not feed themselves. Instead, like juveniles, they are fed by workers.
67812	coherence	Make the text more cohesive: Jump up ^ Highland Hills 2003-06-22. Highland Hills is the Encyclopedia of Cleveland History.	Jump up ^ Highland Hills, The Encyclopedia of Cleveland History, 2003-06-22.
67813	coherence	Fix coherence in this text: His latest book The Gold Eaters was published in 2015. His latest book The Gold Eaters is a novel set during the Spanish invasion of the Inca Empire in the 1520s-1540s.	His latest book The Gold Eaters, a novel set during the Spanish invasion of the Inca Empire in the 1520s-1540s, was published in 2015.
67814	coherence	Make the text more coherent: Jump up ^ News: 3 December 2003 retrieved on 10 June 2011. Jump up ^ News: 3 December 2003 is the Tribe Official Website.	Jump up ^ News: 3 December 2003, The Tribe Official Website, retrieved on 10 June 2011.
67815	coherence	Fix coherence mistakes in this sentence: Joshua Wentzel (born 1999) is a finalist in the 2013 Broadcom MASTERS for his physical sciences project. The 2013 Broadcom MASTERS are a math and science competition for middle school students.	Joshua Wentzel (born 1999) is a finalist in the 2013 Broadcom MASTERS, a math and science competition for middle school students, for his physical sciences project.
67816	coherence	Make the text more consistent: The highway began at a diamond interchange with I-70 and US-40 between Hays and Russell. US-40 run concurrently east -- west.	The highway began at a diamond interchange with I-70 and US-40, which run concurrently east -- west, between Hays and Russell.
67817	coherence	Make the text more cohesive: Kim Davis a math and science competition for middle school students. Kim Davis is a mentor of finalist in the 2014 Broadcom MASTERS.	Kim Davis, a mentor of finalist in the 2014 Broadcom MASTERS, a math and science competition for middle school students.
67818	coherence	Fix coherence of the sentence: Silver went to Japan's Miho Takagi in a time of 1: 54.55. Bronze went to Marrit Leenstra of the Netherlands in a time of 1.	Silver went to Japan's Miho Takagi in a time of 1: 54.55, while bronze went to Marrit Leenstra of the Netherlands in a time of 1.
67819	coherence	Improve the cohesiveness of the text: Heather Blonsky a math and science competition for middle-school students. Heather Blonsky is a mentor of a finalist in the 2011 Broadcom MASTERS.	Heather Blonsky, a mentor of a finalist in the 2011 Broadcom MASTERS, a math and science competition for middle-school students.
67820	clarity	Clarify: This has been widely demonstrated for English using contextualized word representations such as OpenAI GPT (Radford et al., 2018 ), BERT (Devlin et al., 2019 ), or XLNet (Yang et al., 2019b).	This has been widely demonstrated for English using contextualized word representations such as OpenAI GPT (Radford et al., 2018 ), BERT (Devlin et al., 2019; Yang et al., 2019b).
67821	clarity	Use clearer wording: We apply our French language models to complex NLP tasks (natural language inference, parsing, word sense disambiguation) and show that most of the time they outperform other pre-training approaches.	We apply our French language models to diverse NLP tasks (natural language inference, parsing, word sense disambiguation) and show that most of the time they outperform other pre-training approaches.
67822	clarity	Make the text more understandable: The method was not able to utilize the available huge amount of monolingual data because of the inability of models to differentiate between the authentic and synthetic parallel data.	The method was not able to utilize the available huge amount of existing monolingual data because of the inability of models to differentiate between the authentic and synthetic parallel data.
67823	clarity	Rewrite this sentence clearly: The method was not able to utilize the available huge amount of monolingual data because of the inability of models to differentiate between the authentic and synthetic parallel data.	The method was not able to utilize the available huge amount of monolingual data because of the inability of models to differentiate between the authentic and synthetic parallel data during training.
67824	clarity	Clarify this sentence: The approach-tag-less back-translation-trains the model on the synthetic data and fine-tunes it on the authentic data. Experiments have shown the approach to outperform the baseline and standard back-translation by 4.0 and 0.7 BLEU respectively on low resource English-Vietnamese NMT. While the need for tagging (noising) the dataset has been removed, the technique outperformed tagged back-translation by 0.4 BLEU.	The approach-tag-less back-translation approaches on low resource English-Vietnamese NMT. While the need for tagging (noising) the dataset has been removed, the technique outperformed tagged back-translation by 0.4 BLEU.
67825	clarity	Clarify this sentence: Experiments have shown the approach to outperform the baseline and standard back-translation by 4.0 and 0.7 BLEU respectively on low resource English-Vietnamese NMT. While the need for tagging (noising) the dataset has been removed, the technique outperformed tagged back-translation by 0.4 BLEU. The approach reached the best scores in less training time than the standard and tagged back-translation approaches.	Experiments have shown the approach to outperform the baseline and standard back-translation by 4.0 and 0.7 BLEU respectively on low resource English-Vietnamese and English-German neural machine translation.
67826	clarity	Make the sentence clearer: While deep learning methods have been applied to classification-based approaches, current similarity-based methods only embody static notions of similarity.	While deep learning methods have been applied to classification-based approaches, applications to similarity-based methods only embody static notions of similarity.
67827	clarity	Rewrite this sentence for readability: Siamese networks have been used to develop learned notions of similarity in one-shot image tasks, and also for tasks of semantic relatedness in NLP.	Siamese networks have been used to develop learned notions of similarity in one-shot image tasks, and also for tasks of mostly semantic relatedness in NLP.
67828	clarity	Rewrite this sentence clearly: Classification-based approaches work well for small numbers of candidate authors, but only similarity-based methods are applicable for larger numbers of authors or for authors beyond the training set. While deep learning methodshave been applied to classification-based approaches, applications to similarity-based applications have been limited, and most similarity-based methods only embody static notions of similarity.	Classification-based approaches work well for small numbers of candidate authors, but only similarity-based methods are applicable for larger numbers of authors or for authors beyond the training set; these existing similarity-based applications have been limited, and most similarity-based methods only embody static notions of similarity.
67829	clarity	Clarify the sentence: We examine their application to the stylistic task of authorship attribution on datasets with large numbers of authors, looking at multiple energy functions and neural network architectures, and show that they can substantially outperform both classification- and existing similarity-based approaches. We also find an unexpected relationship between choice of energy function and number of authors, in terms of performance.	We examine their application to the stylistic task of authorship attribution on datasets with large numbers of authors, looking at multiple energy functions and neural network architectures, and show that they can substantially outperform previous approaches.
67830	clarity	Write a better readable version of the sentence: While many algorithms exploit this fact in summary generation, it has a detrimental effect on teaching the model to discriminate and extract important information.	While many algorithms exploit this fact in summary generation, it has a detrimental effect on teaching the model to discriminate and extract important information in general.
67831	clarity	Clarification: We propose that the lead bias can be leveraged in a simple and effective way in our favor to pretrain abstractive news summarization models on large-scale unlabeled corpus: predicting the leading sentences using the rest of an article.	We propose that the lead bias can be leveraged in a simple and effective way to pre-train abstractive news summarization models on large-scale unlabeled corpus: predicting the leading sentences using the rest of an article.
67832	clarity	Rewrite this sentence for readability: We propose that the lead bias can be leveraged in a simple and effective way in our favor to pretrain abstractive news summarization models on large-scale unlabeled corpus: predicting the leading sentences using the rest of an article.	We propose that the lead bias can be leveraged in a simple and effective way in our favor to pretrain abstractive news summarization models on large-scale unlabeled news corpora: predicting the leading sentences using the rest of an article.
67833	clarity	Write a clarified version of the sentence: Via careful data cleaning and filtering, our transformer-based pretrained model without any finetuning achieves remarkable results over various news summarization tasks.	We collect a massive news corpus and conduct data cleaning and filtering, our transformer-based pretrained model without any finetuning achieves remarkable results over various news summarization tasks.
67834	clarity	Make this sentence more readable: Lead bias is a common phenomenon in news summarization, where early parts of an article often contain the most salient information.	A typical journalistic convention in news articles is to deliver the most salient information.
67835	clarity	Make the text more understandable: Lead bias is a common phenomenon in news summarization, where early parts of an article often contain the most salient information. While many algorithms exploit this fact in summary generation, it has a detrimental effect on teaching the model to discriminate and extract important information in general.	Lead bias is a common phenomenon in news summarization, where early parts of an article often contain the most salient information in the beginning, also known as the lead bias. While this phenomenon can be exploited in generating a summary, it has a detrimental effect on teaching the model to discriminate and extract important information in general.
67836	clarity	Write a clearer version for the sentence: While many algorithms exploit this fact in summary generation, it has a detrimental effect on teaching the model to discriminate and extract important information in general.	While many algorithms exploit this fact in summary generation, it has a detrimental effect on teaching a model to discriminate and extract important information in general.
67837	clarity	Rewrite this sentence for readability: We then apply the proposed self-supervised pre-training to existing generation models BART and T5 for domain adaptation.	We then apply self-supervised pre-training to existing generation models BART and T5 for domain adaptation.
67838	clarity	Write a clarified version of the sentence: We also leverage the image features to incorporate the style information of words in LayoutLM.	We also leverage the image features to incorporate the visual information of words in LayoutLM.
67839	clarity	Rewrite this sentence for clarity: In this paper, we develop variants of layer-wise relevance backpropagation (LRP) and gradient backpropagation, tailored to image captioning with attention. The result provides simultaneously pixel-wise image explanation and linguistic explanation for each word in the captions.	In this paper, we develop variants of layer-wise relevance backpropagation (LRP) and gradient backpropagation, tailored to image captioning models with attention mechanisms. The explanations provide simultaneously pixel-wise image explanation and linguistic explanation for each word in the captions.
67840	clarity	Make the sentence clear: We show that given a word in the caption to be explained, explanation methods such as LRP reveal supporting and opposing pixels as well as words.	We show that given a word in the caption to be explained, explanation methods such as LRP reveal supporting and opposing pixels as well as preceding words.