wanyu/IteraTeR_v2 huggingface dataset:
Original:  Finally, we apply our new formulation to study the nature of group dynamics in real systems, showing how to extract the actual dependence of the synergy factor on the size of a group from real-world collaboration data in science and technology.
Revised:  Finally, we apply the proposed framework to extract the actual dependence of the synergy factor on the size of a group from real-world collaboration data in science and technology.
Edit intent: clarity
Original:  Our work is a first step towards the implementation of new actions to boost cooperation in social groups.
Revised:  Our work provides a way to implement informed actions to boost cooperation in social groups.
Edit intent: clarity
Original:  First, we show that the game on uniform hypergraphs corresponds to the replicator dynamics in the well-mixed limit, providing an exact theoretical foundation to study cooperation in networked groups.
Revised:  First, we show that the game on uniform hypergraphs corresponds to the replicator dynamics in the well-mixed limit, providing a formal theoretical foundation to study cooperation in networked groups.
Edit intent: clarity
Original:  We argue that, for the problem at hand, using Age of Information (AoI) for quantifying the staleness of a sample is conservative and therefore, introduce age penalty for this purpose.
Revised:  We argue that, for the problem at hand, using Age of Information (AoI) for quantifying the staleness of a sample is conservative and therefore, introduce age penalty for this purpose.
Edit intent: fluency
Original:  As a result, the corresponding ranking of the nodes, which takes into account a long-range interaction between them, does not exhibit concentration phenomena typical for spectral rankings taking into account just local interactions.
Revised:  As a result, the corresponding ranking of the nodes, which takes into account a long-range interaction between them, does not exhibit concentration phenomena typical for spectral rankings taking into account just local interactions.
Edit intent: fluency
Original:  As a result, the corresponding ranking of the nodes, which takes into account a long-range interaction between them, does not exhibit concentration phenomena typical for spectral rankings taking into account just local interactions.
Revised:  As a result, the corresponding ranking of the nodes, which takes into account a long-range interaction between them, does not exhibit concentration phenomena typical of spectral rankings which take into account just local interactions.
Edit intent: clarity
Original:  In this paper, we provide a general formulation of the recommendation problem that captures the complexities of modern systems and encompasses most of the existing recommendation system formulations.
Revised:  In this paper, we provide a general formulation for the problem that captures the complexities of modern systems and encompasses most of the existing recommendation system formulations.
Edit intent: fluency
Original:  In this paper, we provide a general formulation of the recommendation problem that captures the complexities of modern systems and encompasses most of the existing recommendation system formulations.
Revised:  In this paper, we provide a general formulation of the recommendation problem that captures the complexities of modern real-world recommendations and generalizes many existing formulations.
Edit intent: clarity
Original:  The relationships between entities are captured by multiple weighted bipartite graphs.
Revised:  The relationships between entities are captured by several weighted bipartite graphs.
Edit intent: fluency
Original:  To effectively exploit these complex interactions for recommendations , we propose MEDRES -- a multiple graph-CNN based novel deep-learning architecture.
Revised:  To effectively exploit these complex interactions and learn the recommendation model , we propose MEDRES -- a multiple graph-CNN based novel deep-learning architecture.
Edit intent: clarity
Original:  To effectively exploit these complex interactions for recommendations , we propose MEDRES -- a multiple graph-CNN based novel deep-learning architecture.
Revised:  To effectively exploit these complex interactions for recommendations , we propose MEDRES- a multiple graph-CNN based novel deep-learning architecture.
Edit intent: fluency
Original:  In addition, we propose a new metric , pAp@k , that is critical for a variety of classification+ranking scenarios.
Revised:  In addition, we propose a novel ranking metric pAp@k , that is critical for a variety of classification+ranking scenarios.
Edit intent: clarity
Original:  We demonstrate the effectiveness of our method on two benchmarks as well as on amessage recommendation system deployed in Microsoft Teams where it improves upon the existing production-grade model by 3\% .
Revised:  We demonstrate effectiveness of our method on two benchmarks as well as on amessage recommendation system deployed in Microsoft Teams where it improves upon the existing production-grade model by 3\% .
Edit intent: fluency
Original: Hypergraphs with random hyperedges underlie various data structures where hash functionsmap inputs to hyperedges,e.g. cuckoo hash tables, ]  ] invertible Bloom lookup tables , retrieval data structures and perfect hash functions .
Revised: Hypergraphs with random hyperedges underlie various data structures where hash functionsmap inputs to hyperedges,e.g. cuckoo hash tables, ] ] invertible Bloom lookup tables and can speed up the construction of retrieval data structures and perfect hash functions .
Edit intent: coherence
Original: Hypergraphs with random hyperedges underlie various data structures where hash functionsmap inputs to hyperedges,e.g. cuckoo hash tables, ]  ] invertible Bloom lookup tables , retrieval data structures and perfect hash functions .
Revised: Hypergraphs with random hyperedges underlie various data structures where hash functionsmap inputs to hyperedges,e.g. cuckoo hash tables, ] ] invertible Bloom lookup tables , retrieval data structures , perfect hash functions .
Edit intent: fluency
Original:  Our construction is simple: The N vertices are linearly ordered and each hyperedge selects its k elements uniformly at random from a random range of N{z exploit the phenomenon of threshold saturation via spatial coupling discovered in the context of low density parity check codes.
Revised:  We exploit the phenomenon of threshold saturation via spatial coupling discovered in the context of low density parity check codes.
Edit intent: coherence
Original:  Our construction is simple: The N vertices are linearly ordered and each hyperedge selects its k elements uniformly at random from a random range of N{z exploit the phenomenon of threshold saturation via spatial coupling discovered in the context of low density parity check codes.
Revised:  Our construction is simple: The N vertices are linearly ordered and each hyperedge selects its k elements uniformly at random from a random range of N{z exploit the phenomenon of threshold saturation via spatial coupling discovered in the context of low-density parity-check codes.
Edit intent: fluency
Original:  Once the connection to data structures is in plain sight, we employ a framework by Kudekar, Richardson and Urbanke (2015) to do the heavy lifting in our proof .
Revised:  Once the connection to data structures is in plain sight, a framework by Kudekar, Richardson and Urbanke (2015) to do the heavy lifting in our proof .
Edit intent: clarity
Original:  Once the connection to data structures is in plain sight, we employ a framework by Kudekar, Richardson and Urbanke (2015) to do the heavy lifting in our proof .
Revised:  Once the connection to data structures is in plain sight, we employ a framework by Kudekar, Richardson and Urbanke (2015) does the heavy lifting in our proof .
Edit intent: fluency
Original: Objectives : To estimate the basic reproduction number of the Wuhan novel coronavirus (2019-nCoV).
Revised: Objectives .--To estimate the basic reproduction number of the Wuhan novel coronavirus (2019-nCoV).
Edit intent: fluency
Original:  Methods : Based on the susceptible-exposed-infected-removed (SEIR)
Revised:  Methods .--Based on the susceptible-exposed-infected-removed (SEIR)
Edit intent: coherence
Original:  Results : The basic reproduction number falls between 2.8 to 3.3 by using the real-time reports on the number of 2019-nCoV infected cases from People's Daily in China, and falls between 3.2 and 3.9 on the basis of the predicted number of infected cases from colleagues.
Revised:  Results The basic reproduction number falls between 2.8 to 3.3 by using the real-time reports on the number of 2019-nCoV infected cases from People's Daily in China, and falls between 3.2 and 3.9 on the basis of the predicted number of infected cases from colleagues.
Edit intent: clarity
Original:  Conclusions : The early transmission ability of 2019-nCoV is closed to or slightly higher than SARS.
Revised:  Conclusions .--The early transmission ability of 2019-nCoV is closed to or slightly higher than SARS.
Edit intent: fluency
Original:  Here, I extract a macroscopic non-identity law from physics.
Revised:  Here, a new logic tool, the non-identity law from physics.
Edit intent: clarity
Original:  These findings suggest that visual creatures possesses a gift of not only subjectively imaging in response to the messenger of original but also projecting the image back onto the original.
Revised:  These findings suggest that visual creatures possesses a gift of not only subjectively imaging but also projecting the image back onto the original.
Edit intent: clarity
Original:  The recurrent projection provides a foundation for understanding the subjectivity and intentionality of consciousness and the relationships between original, conscious outcome and expression, and paves the way for scientific research involving consciousness .
Revised:  The recurrent projection provides a foundation for understanding the subjectivity and intentionality of consciousness and the relationships between original, experience, and expression. The result paves the way for scientific research involving consciousness .
Edit intent: coherence
Original:  Here, a new logic tool, the non-identity law, was extracted from physics and applied into the analysis of the visual dynamics related to  naturalistic observation of  night-shot still life.
Revised:  Here, a new logic tool, the non-identity law, to the analysis of the visual dynamics related to naturalistic observation of night-shot still life.
Edit intent: coherence
Original:  Here, a new logic tool, the non-identity law, was extracted from physics and applied into the analysis of the visual dynamics related to  naturalistic observation of  night-shot still life.
Revised:  Here, a new logic tool, the non-identity law, was extracted from physics and applied into the analysis of the visual dynamics related to the naturalistic observation of night-shot still life.
Edit intent: fluency
Original:  Here, a new logic tool, the non-identity law, was extracted from physics and applied into the analysis of the visual dynamics related to  naturalistic observation of  night-shot still life.
Revised:  Here, a new logic tool, the non-identity law, was extracted from physics and applied into the analysis of the visual dynamics related to naturalistic observation of a night-shot still life.
Edit intent: fluency
Original:  It likewise provides a foundation for understanding the subjectivity and intentionality of consciousness as well as the isomorphic relations between original, experience, and  expression.
Revised:  It likewise provides a foundation for understanding the subjectivity and intentionality of consciousness as well as the isomorphic relations between original, experience, and shareable expression.
Edit intent: clarity
Original:  These query problems generalize the problems of 2d orthogonal range counting and reporting in planar point sets, as well as the range median query problem in arrays, to tree structured data.
Revised:  These query problems generalize the well-known problems of the range median query problem in arrays, as well as the 2d orthogonal range counting and reporting in planar point sets, as well as the range median query problem in arrays, to tree structured data.
Edit intent: clarity
Original:  These query problems generalize the problems of 2d orthogonal range counting and reporting in planar point sets, as well as the range median query problem in arrays, to tree structured data.
Revised:  These query problems generalize the problems of 2d orthogonal range counting and reporting in planar point sets, to tree structured data.
Edit intent: clarity
Original:  We propose practical realizations of the latest theoretical results in path queries.
Revised:  We propose practical realizations of the latest theoretical results on path queries.
Edit intent: clarity
Original:  Our data structures, whose components include tree extraction, heavy-path decomposition , and wavelet trees, are implemented in both succinct and plain pointer-based form.
Revised:  Our data structures, which use tree extraction, heavy-path decomposition , and wavelet trees, are implemented in both succinct and plain pointer-based form.
Edit intent: clarity
Original:  Our data structures, whose components include tree extraction, heavy-path decomposition , and wavelet trees, are implemented in both succinct and plain pointer-based form.
Revised:  Our data structures, whose components include tree extraction, heavy-path decomposition and wavelet trees, are implemented in both succinct and plain pointer-based form.
Edit intent: fluency
Original:  We compare the performance of our data structures to naive approaches that encode the tree in plain pointer-based form and } do not preprocess it to speedup the queries, but rather compute the answer by explicitly traversing the query path and checking the nodes.
Revised:  Compared to na } do not preprocess it to speedup the queries, but rather compute the answer by explicitly traversing the query path and checking the nodes.
Edit intent: coherence
Original:  We compare the performance of our data structures to naive approaches that encode the tree in plain pointer-based form and } do not preprocess it to speedup the queries, but rather compute the answer by explicitly traversing the query path and checking the nodes.
Revised:  We compare the performance of our data structures to naive approaches that encode the tree in plain pointer-based form and }ve approaches which do not preprocess it to speedup the queries, but rather compute the answer by explicitly traversing the query path and checking the nodes.
Edit intent: clarity
Original:  We compare the performance of our data structures to naive approaches that encode the tree in plain pointer-based form and } do not preprocess it to speedup the queries, but rather compute the answer by explicitly traversing the query path and checking the nodes.
Revised:  We compare the performance of our data structures to naive approaches that encode the tree in plain pointer-based form and } do not preprocess the tree but rather compute the answer by explicitly traversing the query path and checking the nodes.
Edit intent: clarity
Original:  Our succinct data structures are several times faster in path median queries , and perform comparably in path counting and path reporting queries, while being several times more space-efficient , than such naive approaches . Plain pointer-based realizations of our data structures, requiring a few times more space than the naive } structures, yield a 30-100-times speedup over them.
Revised:  Our succinct data structures are several times faster in path median queries and perform comparably in path counting and path reporting queries, while being several times more space-efficient , than such naive approaches . Plain pointer-based realizations of our data structures, requiring a few times more space than the naive } structures, yield a 30-100-times speedup over them.
Edit intent: fluency
Original:  Our succinct data structures are several times faster in path median queries , and perform comparably in path counting and path reporting queries, while being several times more space-efficient , than such naive approaches . Plain pointer-based realizations of our data structures, requiring a few times more space than the naive } structures, yield a 30-100-times speedup over them.
Revised:  Our succinct data structures are several times faster in path median queries , and perform comparably in path counting and path reporting queries, while being several times more space-efficient . Plain pointer-based realizations of our data structures, requiring a few times more space than the naive } structures, yield a 30-100-times speedup over them.
Edit intent: clarity
Original:  Our succinct data structures are several times faster in path median queries , and perform comparably in path counting and path reporting queries, while being several times more space-efficient , than such naive approaches . Plain pointer-based realizations of our data structures, requiring a few times more space than the naive } structures, yield a 30-100-times speedup over them.
Revised:  Our succinct data structures are several times faster in path median queries , and perform comparably in path counting and path reporting queries, while being several times more space-efficient , than such naive approaches . Plain pointer-based realizations of our data structures, requiring a few times more space than the na } structures, yield a 30-100-times speedup over them.
Edit intent: fluency
Original:  Our succinct data structures are several times faster in path median queries , and perform comparably in path counting and path reporting queries, while being several times more space-efficient , than such naive approaches . Plain pointer-based realizations of our data structures, requiring a few times more space than the naive } structures, yield a 30-100-times speedup over them.
Revised:  Our succinct data structures are several times faster in path median queries , and perform comparably in path counting and path reporting queries, while being several times more space-efficient , than such naive approaches . Plain pointer-based realizations of our data structures, requiring a few times more space than the naive }ve structures, yield a 30-100-times speedup over them.
Edit intent: clarity
Original:  Our succinct data structures are several times faster in path median queries , and perform comparably in path counting and path reporting queries, while being several times more space-efficient , than such naive approaches . Plain pointer-based realizations of our data structures, requiring a few times more space than the naive } structures, yield a 30-100-times speedup over them.
Revised:  Our succinct data structures are several times faster in path median queries , and perform comparably in path counting and path reporting queries, while being several times more space-efficient , than such naive approaches . Plain pointer-based realizations of our data structures, requiring a few times more space than the naive } structures, yield a 30-100-times speed-up over them.
Edit intent: fluency
Original: We perform an experimental study on data structures that answer path median, path counting, and path reporting queries in weighted trees.
Revised: We perform experimental studies on data structures that answer path median, path counting, and path reporting queries in weighted trees.
Edit intent: fluency
Original:  These query problems generalize the well-known problems of the range median query problem in arrays, as well as the 2d orthogonal range counting and reporting  in planar point sets, to tree structured data.
Revised:  These query problems generalize the well-known range median query problem in arrays, as well as the 2d orthogonal range counting and reporting in planar point sets, to tree structured data.
Edit intent: clarity
Original:  These query problems generalize the well-known problems of the range median query problem in arrays, as well as the 2d orthogonal range counting and reporting  in planar point sets, to tree structured data.
Revised:  These query problems generalize the well-known problems of the range median query problem in arrays, as well as the 2d orthogonal range counting and reporting problems in planar point sets, to tree structured data.
Edit intent: fluency
Original:  Our data structures, which use tree extraction, heavy-path decomposition and wavelet trees, are implemented in both succinct and plain pointer-based form.
Revised:  Our data structures, which use tree extraction, heavy-path decomposition and wavelet trees, are implemented in both succinct and pointer-based form.
Edit intent: clarity
Original:  Through a set of experiments on large datasets , we show that succinct data structures for path queries  present a viable alternative to standard pointer-based realizations  in practical scenarios.
Revised:  Through a set of experiments on large sets , we show that succinct data structures for path queries present a viable alternative to standard pointer-based realizations in practical scenarios.
Edit intent: clarity
Original:  Through a set of experiments on large datasets , we show that succinct data structures for path queries  present a viable alternative to standard pointer-based realizations  in practical scenarios.
Revised:  Through a set of experiments on large datasets , we show that succinct data structures for path queries may present a viable alternative to standard pointer-based realizations in practical scenarios.
Edit intent: clarity
Original:  Through a set of experiments on large datasets , we show that succinct data structures for path queries  present a viable alternative to standard pointer-based realizations  in practical scenarios.
Revised:  Through a set of experiments on large datasets , we show that succinct data structures for path queries present a viable alternative to standard pointer-based realizations , in practical scenarios.
Edit intent: fluency
Original:  Compared to na{\"i}ve approaches which do not preprocess the tree but rather compute the answer by explicitly traversing the query path, our succinct data structures are several times faster in path median queries and perform comparably in path counting and path reporting queries, while being several times more space-efficient.
Revised:  Compared to na{\"i}ve approaches that compute the answer by explicitly traversing the query path, our succinct data structures are several times faster in path median queries and perform comparably in path counting and path reporting queries, while being several times more space-efficient.
Edit intent: coherence
Original:  Compared to na{\"i}ve approaches which do not preprocess the tree but rather compute the answer by explicitly traversing the query path, our succinct data structures are several times faster in path median queries and perform comparably in path counting and path reporting queries, while being several times more space-efficient.
Revised:  Compared to na{\"i}ve approaches which do not preprocess the tree but rather compute the answer by explicit traversal of the query path, our succinct data structures are several times faster in path median queries and perform comparably in path counting and path reporting queries, while being several times more space-efficient.
Edit intent: fluency
Original:  Plain pointer-based realizations of our data structures, requiring a few times more space than the na{\"i}ve structures, yield a 30-100-times speed-up over them .
Revised:  Plain pointer-based realizations of our data structures, requiring a few times more space than the na{\"i}ve ones, yield up to 100-times speed-up over them .
Edit intent: clarity
Original:  \mbox{ BDHS-ESA15 as a generalization of the common-base value model of Chawla et al.
Revised:  ESA 2015 as a generalization of the common-base value model of Chawla et al.
Edit intent: clarity