wanyu/IteraTeR_full_sent huggingface dataset:
Original:  To facilitate cross-dataset alignment and comparison, we created a working nomenclature convention for matching and tracking cell types across studies . The convention is qualitatively similar to how gene transcripts are tracked across different versions of GENCODE genome builds, allowing comparison of matched types with a common reference or any other taxonomy.
Revised:  To facilitate cross-dataset alignment and comparison, we created a working nomenclature convention for matching and tracking cell types across studies that is qualitatively similar to how gene transcripts are tracked across different versions of GENCODE genome builds, allowing comparison of matched types with a common reference or any other taxonomy.
Edit intent: coherence
Original:  The convention is qualitatively similar to how gene transcripts are tracked across different versions of GENCODE genome builds, allowing comparison of matched types with a common reference or any other taxonomy. It augments but does not change existing cell type names provided in original publications and can be directly applied to data from new or published studies. We applied this nomenclature to a series of published cell type data from the Allen Institute, highlighting its extensibility to classifications defined using multiple quantifiable modalities.
Revised:  The convention is qualitatively similar to gene transcript management across different genome builds. The CCN can be readily applied to new or established taxonomies and was applied herein to diverse cell type datasets derived from multiple quantifiable modalities.
Edit intent: clarity
Original:  Finally, we propose conventions for assigning accurate yet flexible cell types names in the mammalian cortex as a step towards a much larger community-wide effort URLanize multi-source, data-driven information related to cell types.
Revised:  The CCN facilitates assigning accurate yet flexible cell types names in the mammalian cortex as a step towards a much larger community-wide effort URLanize multi-source, data-driven information related to cell types.
Edit intent: meaning-changed
Original:  Finally, we propose conventions for assigning accurate yet flexible cell types names in the mammalian cortex as a step towards a much larger community-wide effort URLanize multi-source, data-driven information related to cell types.
Revised:  Finally, we propose conventions for assigning accurate yet flexible cell type names in the mammalian cortex as a step towards a much larger community-wide effort URLanize multi-source, data-driven information related to cell types.
Edit intent: fluency
Original:  Finally, we propose conventions for assigning accurate yet flexible cell types names in the mammalian cortex as a step towards a much larger community-wide effort URLanize multi-source, data-driven information related to cell types.
Revised:  Finally, we propose conventions for assigning accurate yet flexible cell types names in the mammalian cortex as a step towards community-wide effort URLanize multi-source, data-driven information related to cell types.
Edit intent: clarity
Original:  Finally, we propose conventions for assigning accurate yet flexible cell types names in the mammalian cortex as a step towards a much larger community-wide effort URLanize multi-source, data-driven information related to cell types.
Revised:  Finally, we propose conventions for assigning accurate yet flexible cell types names in the mammalian cortex as a step towards a much larger community-wide efforts URLanize multi-source, data-driven information related to cell types.
Edit intent: fluency
Original:  Finally, we propose conventions for assigning accurate yet flexible cell types names in the mammalian cortex as a step towards a much larger community-wide effort URLanize multi-source, data-driven information related to cell types. The convention presented here can be easily applied to cell type taxonomies from URLan system URLanism.
Revised:  Finally, we propose conventions for assigning accurate yet flexible cell types names in the mammalian cortex as a step towards a much larger community-wide effort URLanize multi-source, data-driven information related to cell type taxonomies from URLan system URLanism.
Edit intent: coherence
Original:  Here  , we derive an a posteriori error estimator based on the dual weighted residual method that allows for a splitting of the error into averaging error, error on the slow scale and error on the fast scale.
Revised:  Here , we generalize this multiscale approach to a larger class of problems but in particular , we derive an a posteriori error estimator based on the dual weighted residual method that allows for a splitting of the error into averaging error, error on the slow scale and error on the fast scale.
Edit intent: meaning-changed
Original:  It has been shown for the case of ridge regression (  p,q,r,s=2) that we can obtain a coreset  smaller than the coreset for its unregularized counterpart i.e. least squares regression (Avron et al.).
Revised:  Prior work has shown that for ridge regression ( p,q,r,s=2) that we can obtain a coreset smaller than the coreset for its unregularized counterpart i.e. least squares regression (Avron et al.).
Edit intent: clarity
Original:  It has been shown for the case of ridge regression (  p,q,r,s=2) that we can obtain a coreset  smaller than the coreset for its unregularized counterpart i.e. least squares regression (Avron et al.).
Revised:  It has been shown for the case of ridge regression ( where p,q,r,s=2) that we can obtain a coreset smaller than the coreset for its unregularized counterpart i.e. least squares regression (Avron et al.).
Edit intent: meaning-changed
Original:  It has been shown for the case of ridge regression (  p,q,r,s=2) that we can obtain a coreset  smaller than the coreset for its unregularized counterpart i.e. least squares regression (Avron et al.).
Revised:  It has been shown for the case of ridge regression ( p,q,r,s=2) we can obtain a coreset smaller than the coreset for its unregularized counterpart i.e. least squares regression (Avron et al.).
Edit intent: coherence
Original:  It has been shown for the case of ridge regression (  p,q,r,s=2) that we can obtain a coreset  smaller than the coreset for its unregularized counterpart i.e. least squares regression (Avron et al.).
Revised:  It has been shown for the case of ridge regression ( p,q,r,s=2) that we can obtain a coreset that is smaller than the coreset for its unregularized counterpart i.e. least squares regression (Avron et al.).
Edit intent: clarity
Original:  It has been shown for the case of ridge regression (  p,q,r,s=2) that we can obtain a coreset  smaller than the coreset for its unregularized counterpart i.e. least squares regression (Avron et al.).
Revised:  It has been shown for the case of ridge regression ( p,q,r,s=2) that we can obtain a coreset smaller than the coreset for the unregularized counterpart i.e. least squares regression (Avron et al.).
Edit intent: fluency
Original:  In this work, we train a hierarchical dialog policy to jointly perform %DIFDELCMD < {\it %%% both clarification and active learning in the context of an interactive language-based image retrieval task motivated by an on-line shopping application, and demonstrate that jointly learning dialog policies for clarification and active learning is more effective than the use of static dialog policies for one or both of these functions.
Revised:  In this work, we train a hierarchical dialog policy to jointly perform %DIFDELCMD < {\it %%% both clarification and active learning in the context of an interactive language-based image retrieval task motivated by an on-line shopping application, and demonstrate that jointly learning dialog policies for clarification and active learning is more effective than the use of static dialog policies for one or both of these functions.
Edit intent: fluency
Original:  In this work, we train a hierarchical dialog policy to jointly perform %DIFDELCMD < {\it %%% both clarification and active learning in the context of an interactive language-based image retrieval task motivated by an on-line shopping application, and demonstrate that jointly learning dialog policies for clarification and active learning is more effective than the use of static dialog policies for one or both of these functions.
Revised:  In this work, we train a hierarchical dialog policy to jointly perform %DIFDELCMD < {\it %%% both clarification and active learning in the context of an interactive language-based image retrieval task motivated by an online shopping application, and demonstrate that jointly learning dialog policies for clarification and active learning is more effective than the use of static dialog policies for one or both of these functions.
Edit intent: fluency
Original:  Notably, this algorithm makes no reference to the training data and consistently  outperforms existing state-of-the-art pruning algorithms at initialization over a range of models (VGG and ResNet), datasets (CIFAR-10/100 and Tiny ImageNet), and sparsity constraints (up to 99.9 percent).
Revised:  Notably, this algorithm makes no reference to the training data and consistently competes with or outperforms existing state-of-the-art pruning algorithms at initialization over a range of models (VGG and ResNet), datasets (CIFAR-10/100 and Tiny ImageNet), and sparsity constraints (up to 99.9 percent).
Edit intent: meaning-changed
Original:  Notably, this algorithm makes no reference to the training data and consistently  outperforms existing state-of-the-art pruning algorithms at initialization over a range of models (VGG and ResNet), datasets (CIFAR-10/100 and Tiny ImageNet), and sparsity constraints (up to 99.9 percent).
Revised:  Notably, this algorithm makes no reference to the training data and consistently outperforms existing state-of-the-art pruning algorithms at initialization over a range of models (VGG and ResNet), datasets (CIFAR-10/100 and Tiny ImageNet), and sparsity constraints (up to 99.99 percent).
Edit intent: clarity
Original:  Accordingly, it has been hypothesized that it may have a protective effect against COVID-19. 12 randomized controlled trials are currently underway to test this hypothesis, but their results shall not be available before at least five months.
Revised:  Accordingly, it has been hypothesized that it may have a protective effect against COVID-19. Recent research found that countries with universal Bacillus Calmette-Gu\'erin (BCG) childhood vaccination policies tend to be less affected by the COVID-19 pandemic. However, such ecological studies are biased by numerous confounders.
Edit intent: meaning-changed
Original:  In April 1975, Sweden discontinued newborns BCG vaccination . The vaccination rate fell from 92\% to 2\% . I compare the numbers of COVID-19 cases and hospitalizations for cohorts born just before and just after that change .
Revised:  In April 1975, Sweden discontinued newborns BCG vaccination led to a dramatic fall of the BCG coverage rate from 92\% to 2\% . I compare the numbers of COVID-19 cases and hospitalizations for cohorts born just before and just after that change .
Edit intent: clarity
Original:  The vaccination rate fell from 92\% to 2\% . I compare the numbers of COVID-19 cases and hospitalizations for cohorts born just before and just after that change .
Revised:  The vaccination rate fell from 92\% to 2\% , thus allowing us to estimate the BCG's effect without all the biases associated with cross-country comparisons. Numbers of COVID-19 cases and hospitalizations for cohorts born just before and just after that change .
Edit intent: meaning-changed
Original:  The vaccination rate fell from 92\% to 2\% . I compare the numbers of COVID-19 cases and hospitalizations for cohorts born just before and just after that change . I find no statistically significant differences, and I can reject small BCG effects. Thus,receiving the BCG vaccine at birth does not seem to have a protective effect against COVID-19. ] ]\\%DIF > confidence that universal BCG vaccination reduces the number of cases by more than 20\% and the number of hospitalizations by more than 24\%.
Revised:  The vaccination rate fell from 92\% to 2\% . I compare the numbers of COVID-19 cases and hospitalizations for cohorts born just before and just after that change , representing 1,026,304 and 1,018,544 individuals, respectively. We used regression discontinuity to assess the effect of BCG vaccination on Covid-19 related outcomes. This method used on such a large population allows for a high precision that would be hard to achieve using a classical randomized controlled trial. The odds ratio for Covid-19 cases and Covid-19 related hospitalizations were 0.9997 (CI95: ] ]\\%DIF > confidence that universal BCG vaccination reduces the number of cases by more than 20\% and the number of hospitalizations by more than 24\%.
Edit intent: meaning-changed
Original:  Thus,receiving the BCG vaccine at birth does not seem to have a protective effect against COVID-19. ] ]\\%DIF > confidence that universal BCG vaccination reduces the number of cases by more than 20\% and the number of hospitalizations by more than 24\%.
Revised:  Thus,receiving the BCG vaccine at birth does not seem to have a protective effect against COVID-19. 0.8002-1.1992] ]\\%DIF > confidence that universal BCG vaccination reduces the number of cases by more than 20\% and the number of hospitalizations by more than 24\%.
Edit intent: meaning-changed
Original:  Thus,receiving the BCG vaccine at birth does not seem to have a protective effect against COVID-19. ] ]\\%DIF > confidence that universal BCG vaccination reduces the number of cases by more than 20\% and the number of hospitalizations by more than 24\%.
Revised:  Thus,receiving the BCG vaccine at birth does not seem to have a protective effect against COVID-19. ]) and 1.1931 (CI95: ]\\%DIF > confidence that universal BCG vaccination reduces the number of cases by more than 20\% and the number of hospitalizations by more than 24\%.
Edit intent: meaning-changed
Original:  Thus,receiving the BCG vaccine at birth does not seem to have a protective effect against COVID-19. ] ]\\%DIF > confidence that universal BCG vaccination reduces the number of cases by more than 20\% and the number of hospitalizations by more than 24\%.
Revised:  Thus,receiving the BCG vaccine at birth does not seem to have a protective effect against COVID-19. ] 0.7558-1.6304]\\%DIF > confidence that universal BCG vaccination reduces the number of cases by more than 20\% and the number of hospitalizations by more than 24\%.
Edit intent: meaning-changed
Original:  Thus,receiving the BCG vaccine at birth does not seem to have a protective effect against COVID-19. ] ]\\%DIF > confidence that universal BCG vaccination reduces the number of cases by more than 20\% and the number of hospitalizations by more than 24\%.
Revised:  Thus,receiving the BCG vaccine at birth does not seem to have a protective effect against COVID-19. ] ]), respectively. We can thus reject with 95\\%DIF > confidence that universal BCG vaccination reduces the number of cases by more than 20\% and the number of hospitalizations by more than 24\%.
Edit intent: meaning-changed
Original: Considerable analytical work during the COVID-19 pandemic has been devoted to developing predictive models to evaluate the merits of potential governmental interventions versus the cost of not carrying them out. These prospective modeling efforts are based on formal assumptions, like the choice of epidemiological mode, and on the extrapolation of past timecourse data to the future. As both these aspects carry substantial potential for error, trusted models used by decision-makers of public policy undergo nearly continuous revision cycles. Less methodologically developed is to assess retrospectively the effects these interventions had .
Revised: Considerable analytical work during the COVID-19 pandemic has been devoted to developing predictive models to evaluate the merits of potential governmental interventions . However, the analysis of the effects these interventions had .
Edit intent: coherence
Original:  We use a sparse regression method to fit the dynamic progression of the data (the Rt parameter) with the least number of changes , allowing us to attribute discrete change events to specific intervention events. Since the sparse fit yields a discrete jump between two constant Rt , we follow do-operator prescriptions and simulate the counterfactual case by forcing Rt to stay at the pre-jump value.
Revised:  We use a sparse regression method to fit the dynamic progression of the data (the Rt parameter) with the least changes in the Rt parameter. Then, we postulate each jump in Rt as the effect of an intervention. Following the do-operator prescriptions and simulate the counterfactual case by forcing Rt to stay at the pre-jump value.
Edit intent: clarity
Original:  We then attribute a nominal value to the intervention from the difference between true evolution and simulated counterfactual , for example, in terms of reducing the number of cases or accelerating the timecourse towards a milestone.
Revised:  We then attribute a value to the intervention from the difference between true evolution and simulated counterfactual , for example, in terms of reducing the number of cases or accelerating the timecourse towards a milestone.
Edit intent: clarity
Original:  We then attribute a nominal value to the intervention from the difference between true evolution and simulated counterfactual , for example, in terms of reducing the number of cases or accelerating the timecourse towards a milestone. As an example, we show that the recommendation to use facemasks for all activities would result in a putative total of 71000 (95\% CI 64000 to 78000) fewer official cases in New York State  .
Revised:  We then attribute a nominal value to the intervention from the difference between true evolution and simulated counterfactual . We show that the recommendation to use facemasks for all activities would result in a putative total of 71000 (95\% CI 64000 to 78000) fewer official cases in New York State .
Edit intent: coherence
Original:  As an example, we show that the recommendation to use facemasks for all activities would result in a putative total of 71000 (95\% CI 64000 to 78000) fewer official cases in New York State  .
Revised:  As an example, we show that the recommendation to use facemasks for all activities would reduce the number of cases by 170000 (95\% CI 64000 to 78000) fewer official cases in New York State .
Edit intent: meaning-changed
Original:  As an example, we show that the recommendation to use facemasks for all activities would result in a putative total of 71000 (95\% CI 64000 to 78000) fewer official cases in New York State  .
Revised:  As an example, we show that the recommendation to use facemasks for all activities would result in a putative total of 71000 (95\% CI 160000 to 180000) in Connecticut, Massachusetts, and New York State .
Edit intent: meaning-changed
Original:  As an example, we show that the recommendation to use facemasks for all activities would result in a putative total of 71000 (95\% CI 64000 to 78000) fewer official cases in New York State  .
Revised:  As an example, we show that the recommendation to use facemasks for all activities would result in a putative total of 71000 (95\% CI 64000 to 78000) fewer official cases in New York State . The framework presented here might be used in any case where cause and effects are sparse in time .
Edit intent: meaning-changed
Original:  By inheriting the credibility of the media on which they were published, a total of 2,029 news articles on coronavirus, published from January to May 2020, are collected in the repository, along with 140,820 tweets that reveal how these news articles are spread on the  social network.
Revised:  By inheriting the credibility of the media on which they were published, a total of 2,029 news articles on coronavirus, published from January to May 2020, are collected in the repository, along with 140,820 tweets that reveal how these news articles have spread on the social network.
Edit intent: clarity
Original:  By inheriting the credibility of the media on which they were published, a total of 2,029 news articles on coronavirus, published from January to May 2020, are collected in the repository, along with 140,820 tweets that reveal how these news articles are spread on the  social network.
Revised:  By inheriting the credibility of the media on which they were published, a total of 2,029 news articles on coronavirus, published from January to May 2020, are collected in the repository, along with 140,820 tweets that reveal how these news articles are spread on the Twitter social network.
Edit intent: meaning-changed
Original:  First, we have configured a multi-agent historical order book simulation environment for execution tasks based on an Agent-Based Interactive Discrete Event Simulation (ABIDES) [arXiv:1904.12066].
Revised:  First, we configure a multi-agent historical order book simulation environment for execution tasks based on an Agent-Based Interactive Discrete Event Simulation (ABIDES) [arXiv:1904.12066].
Edit intent: clarity
Original:  First, we have configured a multi-agent historical order book simulation environment for execution tasks based on an Agent-Based Interactive Discrete Event Simulation (ABIDES) [arXiv:1904.12066].
Revised:  First, we have configured a multi-agent historical order book simulation environment for execution tasks built on an Agent-Based Interactive Discrete Event Simulation (ABIDES) [arXiv:1904.12066].
Edit intent: clarity
Original:  Here, we develop a fair clustering variant where the input data is a hypergraph with multiple edge types , representing information about past experiences of groups of individuals . Our method is based on diversity of experience, instead ofprotected attributes , with a goal of forming groups that have both experience and diversity with respect to participation in edge types.
Revised:  Here, we develop a fair clustering variant where the input data is a hypergraph with multiple edge types , representing information about past experiences of groups of individuals -- and the output is groups of nodes. In contrast to related problems on fair or balanced clustering, we model diversity in terms of variety of past experience (instead of, e.g., protected attributes) , with a goal of forming groups that have both experience and diversity with respect to participation in edge types.
Edit intent: meaning-changed
Original:  We model this goal with a regularized edge-based  clustering objective,  design an efficient 2-approximation algorithm for optimizing the NP-hard objective, and provide bounds on hyperparameters to avoid trivial solutions .
Revised:  In other words, both diversity and experience are measured from the types of the hyperedges. Our clustering model is based on a regularized version of an edge-based clustering objective, design an efficient 2-approximation algorithm for optimizing the NP-hard objective, and provide bounds on hyperparameters to avoid trivial solutions .
Edit intent: meaning-changed
Original:  We model this goal with a regularized edge-based  clustering objective,  design an efficient 2-approximation algorithm for optimizing the NP-hard objective, and provide bounds on hyperparameters to avoid trivial solutions .
Revised:  We model this goal with a regularized edge-based hypergraph clustering objective, design an efficient 2-approximation algorithm for optimizing the NP-hard objective, and provide bounds on hyperparameters to avoid trivial solutions .
Edit intent: meaning-changed