[ { "path": "table_paper/2407.00025v1.json", "table_id": "1", "section": "3.2", "all_context": [ "Although as one of the most popular frameworks for Python programming, Scrapy still has some feasible competitors that are other web crawling frameworks (Khder, 2021 ), such as Nutch (Shafiq and Mehmood, 2020 ) using the Java language.", "But compared with those crawling frameworks that are developed by Python, the amount of the crawling frameworks that are developed by other languages is low.", "To summary and further analyse the relative web crawling framework for Scrapy, we make a survey and statistics for the top 1,000 web spider frameworks that sorted by the liked starts number in a descending order, and deleted the mistaken searched items from them, the result is shown as Table 1 .", "The parameter means the language used to program, the parameter represents the number of projects that is used for actual training.", "The parameter represents the number of projects that are designed as a framework.", "The parameter represents the number of projects that is designed not as a framework but a relative toolkit or project.", "The parameter represents the number of projects that are designed with GUI user operations.", "The parameter represents the number of projects that are designed in a distributed or high-concurrency way.", "From the survey we can draw the conclusion that Python is the most popular language that is used to design web crawler projects or related projects.", "Golang is also used in most of the whole projects, but focuses more on the high-concurrency development, which is based on the characteristics of native concurrency of coroutines (Cox-Buday, 2017 ).", "Due to being same as a script language and easy to use, most important, the characteristics that native support the end operation in a browser with the web page source code (Gyimesi et al., 2019 ), Javascript is also used in most of the whole projects, most of these projects are relative project, in other way, means the JavaScript can not support the superior operations very well.", "Having the most convenience in programming and design, supporting the files operations and superior data processing well, most importantly, being the native programming language of Scrapy, that is why we selected Python as the programming language and the stady direction of our research.", "" ], "target_context_ids": [ 2, 8, 9, 10, 11 ], "selected_paragraphs": [ "[paragraph id = 2] To summary and further analyse the relative web crawling framework for Scrapy, we make a survey and statistics for the top 1,000 web spider frameworks that sorted by the liked starts number in a descending order, and deleted the mistaken searched items from them, the result is shown as Table 1 .", "[paragraph id = 8] From the survey we can draw the conclusion that Python is the most popular language that is used to design web crawler projects or related projects.", "[paragraph id = 9] Golang is also used in most of the whole projects, but focuses more on the high-concurrency development, which is based on the characteristics of native concurrency of coroutines (Cox-Buday, 2017 ).", "[paragraph id = 10] Due to being same as a script language and easy to use, most important, the characteristics that native support the end operation in a browser with the web page source code (Gyimesi et al., 2019 ), Javascript is also used in most of the whole projects, most of these projects are relative project, in other way, means the JavaScript can not support the superior operations very well.", "[paragraph id = 11] Having the most convenience in programming and design, supporting the files operations and superior data processing well, most importantly, being the native programming language of Scrapy, that is why we selected Python as the programming language and the stady direction of our research." ], "table_html": "
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Table 1. Analysis of GitHub’s top 1,000 star sorting items.
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
languagetrainframeworkrelativegraphicconcurrency
Python1763026
Golang18103
PHP13400
Java02310
JavaScript021010
C#02000
\n
", "perturb_sentence_id": [ 2, 3 ], "output": { "perturbed_statement": "[paragraph id = 2] To summary and further analyse the relative web crawling framework for Scrapy, we make a survey and statistics for the top 1,000 web spider frameworks that sorted by the liked comments number in a descending order, and deleted the mistaken searched items from them, the result is shown as Table 1. The parameter means the language used to program, the parameter represents the number of projects that is used for actual training.", "perturbed_explanation": "1. The statement refers to a survey and statistics made for web spider frameworks related to Scrapy. 2. The statement incorrectly states that the frameworks were sorted by the liked comments number, whereas the context specifies that they were sorted by the liked stars number. Comments are not mentioned as a criterion in the survey, marking a factual inconsistency in the statement." } }, { "path": "table_paper/2407.00025v1.json", "table_id": "2", "section": "5", "all_context": [ "To evaluate the performance efficiency of the processing algorithm of Anywhere, we design the following corresponding test experiments.", "Our work is mainly focusing on improving the native Scrapy framework in quickly generating one or multiple Scarpy projects based on specific custom templates in the coding interaction level with the corresponding configuration changing in the meantime.", "Therefore, we mainly compared the Anywhere with the normal Scrapy framework in this task.", "We use the time of finishing in seconds to evaluate the speed and efficiency of the performances.", "Due to the individual difference of the testing user is big for they have different experiences of Scrapy and Anywhere, we make a big value interval in comparison part.", "As shown in Table 2 , the count number of the multiple projects is 3.", "The value interval of comparison is 50%.", "From the result we can see that the framework Anywhere can improve the generation and configuration efficiency of using Scrapy at a good level.", "" ], "target_context_ids": [ 0, 2, 3, 4, 5, 6, 7 ], "selected_paragraphs": [ "[paragraph id = 0] To evaluate the performance efficiency of the processing algorithm of Anywhere, we design the following corresponding test experiments.", "[paragraph id = 2] Therefore, we mainly compared the Anywhere with the normal Scrapy framework in this task.", "[paragraph id = 3] We use the time of finishing in seconds to evaluate the speed and efficiency of the performances.", "[paragraph id = 4] Due to the individual difference of the testing user is big for they have different experiences of Scrapy and Anywhere, we make a big value interval in comparison part.", "[paragraph id = 5] As shown in Table 2 , the count number of the multiple projects is 3.", "[paragraph id = 6] The value interval of comparison is 50%.", "[paragraph id = 7] From the result we can see that the framework Anywhere can improve the generation and configuration efficiency of using Scrapy at a good level." ], "table_html": "
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Table 2. Experiments to test the performance of Anywhere.
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frameworktaskconfigtime /scomparison
ScrapySingle ProjectNo4-9100%
AnywhereSingle ProjectNo2-5200%
ScrapySingle ProjectYes6-12100%
AnywhereSingle ProjectYes3-6200%
ScrapyMultiple ProjectsNo26-30100%
AnywhereMultiple ProjectsNo9-10300%
ScrapyMultiple ProjectsYes29-40100%
AnywhereMultiple ProjectsYes10-13300%
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", "perturb_sentence_id": [ 5, 6 ], "output": { "perturbed_statement": "[paragraph id = 5] As shown in Table 2, the count number of the multiple projects is 4. The value interval of comparison is 30%.", "perturbed_explanation": "The count number of the multiple projects is 3, not 4, which makes the statement factually incorrect. 2. The value interval of comparison is noted to be large due to significant individual differences, and altering it to 30% could inaccurately reflect the variation intended for comparison." } } ]