idx
int64 0
99
| SearchEngine
stringlengths 3
14
| UserInterface
stringclasses 3
values | MobileFriendly
stringclasses 2
values | SEOfriendly
stringclasses 4
values | AlgorithmTransparency
stringclasses 3
values | UserSatisfaction
stringclasses 4
values | EngagementScore
stringclasses 6
values | RelevanceRating
float64 2.5
5
| FeedbackSentiment
stringclasses 4
values |
|---|---|---|---|---|---|---|---|---|---|
0 | Google | High | Yes | High | Medium | Very High | A | 4.5 | Positive |
1 | Bing | Medium | Yes | Medium | Low | High | B | 4 | Neutral |
2 | Yahoo | Low | No | Low | High | Medium | C | 3.5 | Negative |
3 | DuckDuckGo | Medium | Yes | High | High | High | A | 4.8 | Very Positive |
4 | Baidu | High | Yes | Medium | Medium | Medium | A | 4.2 | Positive |
5 | Ecosia | High | Yes | High | High | Very High | A | 4.9 | Very Positive |
6 | Microsoft | Medium | Yes | High | Medium | Very High | A | 4.7 | Positive |
7 | Amazon | Medium | Yes | Medium | Low | High | B | 4.1 | Positive |
8 | Amazon | Medium | No | Low | Low | Low | D | 2.8 | Negative |
9 | Ecosia | High | Yes | High | High | Very High | A | 4.7 | Very Positive |
10 | Lycos | High | Yes | Medium | Medium | High | B | 3.8 | Positive |
11 | Lexus | Medium | Yes | Low | Low | Low | D | 3.2 | Negative |
12 | Amazon | High | Yes | Very High | High | Very High | A+ | 4.9 | Very Positive |
13 | Amazon | Medium | Yes | High | Medium | High | B | 4.3 | Positive |
15 | Microsoft | Medium | Yes | Medium | Medium | High | B | 4.3 | Positive |
16 | Ecosia | High | Yes | High | High | Very High | A | 4.9 | Very Positive |
17 | Lycos | High | Yes | High | High | Very High | A | 4.7 | Very Positive |
18 | Ecosia | High | Yes | High | High | Very High | A | 5 | Very Positive |
19 | Petal | Medium | Yes | Medium | Medium | Medium | B | 3.8 | Neutral |
20 | Ask.com | Medium | No | Low | High | Medium | C | 3 | Negative |
21 | Microsoft | High | No | Medium | Medium | Medium | B | 3.8 | Neutral |
22 | Ecosia | Medium | No | High | Medium | High | B+ | 4.3 | Positive |
23 | Lycos | Low | No | Low | Low | Low | D | 3 | Negative |
25 | Everest | Low | No | Low | Low | Low | C | 3.2 | Negative |
26 | Goo | Medium | Yes | Medium | High | High | B | 4.3 | Positive |
27 | Ecosia | High | No | Medium | High | Medium | B | 3.9 | Positive |
28 | Mozilla | High | Yes | High | High | Very High | A | 4.7 | Very Positive |
29 | Yandex | High | No | High | High | High | A | 4.6 | Positive |
30 | Yandex | High | Yes | High | High | Very High | A | 4.7 | Very Positive |
31 | Ecosia | High | Yes | High | High | Very High | A | 4.9 | Very Positive |
32 | Yandex | High | Yes | High | High | Very High | A | 4.7 | Very Positive |
33 | Yandex | High | Yes | High | High | Very High | A | 4.9 | Very Positive |
35 | Brave | High | Yes | High | High | Very High | A | 4.7 | Very Positive |
36 | StartPage | High | Yes | Low | Low | Medium | C | 3.7 | Neutral |
37 | Exalead | Medium | Yes | High | Medium | High | A | 4.3 | Positive |
38 | Wikia | Low | Yes | Low | Medium | Medium | C | 3.8 | Neutral |
39 | Microsoft | Medium | Yes | High | Low | High | B | 4.3 | Positive |
40 | Ecosia | High | Yes | High | High | Very High | A | 4.9 | Very Positive |
41 | Wikia | Low | No | Low | Medium | Medium | C | 3 | Negative |
42 | Samsung | Medium | No | Medium | Low | Medium | B | 3.8 | Neutral |
43 | Ecosia | High | Yes | High | High | Very High | A | 4.7 | Very Positive |
45 | Pirate | Medium | No | Medium | Medium | Medium | B | 3.9 | Neutral |
46 | Lycos | Low | Yes | Medium | Medium | Medium | C | 3.8 | Neutral |
47 | Qwant | Low | No | Low | Low | Medium | C | 3.6 | Neutral |
48 | Webcrawler | Medium | Yes | Medium | Medium | Medium | B | 4.1 | Neutral |
49 | Google | High | Yes | High | Medium | Very High | A | 4.9 | Very Positive |
50 | Gigablast | Medium | Yes | Low | Medium | Low | D | 2.5 | Negative |
51 | Sogou | High | Yes | High | High | High | A | 4.7 | Very Positive |
52 | MetaSearch | Low | No | Low | Low | Low | C | 2.5 | Negative |
53 | Muzei | Medium | Yes | Medium | High | Medium | B | 3.8 | Neutral |
55 | JiWay | Low | Yes | High | Low | Medium | C | 4 | Positive |
56 | Ask | Medium | No | High | Low | Medium | B | 4.1 | Neutral |
57 | Startpage | Low | No | Low | Low | Medium | D | 3.2 | Negative |
58 | iWave | High | Yes | High | High | High | A | 4.9 | Very Positive |
59 | Bing | Medium | Yes | Medium | Low | High | B | 4.1 | Neutral |
60 | Samsung Search | Medium | Yes | Medium | Medium | Medium | C | 3.2 | Neutral |
61 | Naver | High | Yes | High | Low | Medium | C | 3.9 | Neutral |
62 | KnowWhat | High | Yes | Very High | High | Very High | A+ | 4.8 | Very Positive |
63 | Qwant | Low | No | Medium | Low | Medium | C | 3.5 | Negative |
65 | Tails | High | Yes | Medium | Medium | High | A | 4.6 | Positive |
66 | Ixquick | High | Yes | High | Medium | High | A | 4.6 | Positive |
67 | ShareThis | Low | No | Low | Medium | Low | D | 3 | Negative |
68 | ScrubbingAbyss | Low | Yes | Low | Low | Low | D | 2.6 | Negative |
69 | Yahoo | Low | No | Low | High | Medium | C | 3.9 | Negative |
70 | HotBot | High | No | Low | Low | Medium | C | 3.1 | Neutral |
71 | Gigablast | Low | No | Low | High | Low | D | 2.8 | Negative |
72 | RockYou | Medium | No | Medium | Low | Low | C | 3 | Negative |
73 | Startpage | Medium | Yes | High | Medium | High | B | 4.1 | Positive |
75 | Qwant | High | Yes | High | High | Very High | A | 4.8 | Very Positive |
76 | Swiftype | High | Yes | Medium | High | Very High | A | 4.8 | Very Positive |
77 | JiWire | Medium | Yes | Medium | High | Medium | B | 4 | Neutral |
78 | Microsoft | High | No | Medium | High | Medium | B | 3.9 | Neutral |
79 | DuckDuckGo | Medium | Yes | High | High | High | A | 4.7 | Very Positive |
80 | Metro | Medium | No | Low | High | Medium | C | 2.9 | Negative |
81 | Huawei Search | Medium | No | Medium | Medium | Medium | B | 3.5 | Neutral |
82 | Sogou | High | Yes | High | Medium | Very High | A | 4.6 | Very Positive |
83 | Bing | Medium | Yes | Medium | Low | High | B | 4 | Neutral |
85 | Bing (Europe) | Medium | Yes | Medium | Low | High | B | 4.1 | Neutral |
86 | Earthlink | Low | Yes | Low | Low | Low | D | 3.2 | Negative |
87 | Naver | High | Yes | High | High | Very High | A | 4.8 | Very Positive |
88 | Ixquick | Medium | Yes | Medium | Medium | Medium | B | 4 | Neutral |
89 | Baidu | High | Yes | Medium | Medium | Medium | A | 4 | Positive |
90 | Ezoic | Medium | Yes | Medium | High | High | A | 4.1 | Positive |
91 | Pandora | High | Yes | Low | Low | Low | D | 2.5 | Negative |
92 | ExploreWith | Medium | Yes | High | Medium | High | B | 4.1 | Positive |
93 | Yahoo | Low | No | Low | High | Medium | C | 3.5 | Negative |
95 | VK (Russia) | High | No | Low | High | Medium | C | 3.6 | Neutral |
96 | Pinpoint | Medium | No | Medium | High | High | B | 4.4 | Positive |
97 | Wikia | Low | No | Low | Medium | Medium | C | 3.4 | Neutral |
98 | FarsightSearch | High | Yes | High | High | Very High | A | 4.8 | Very Positive |
99 | StartPage | Low | Yes | Low | Medium | Low | D | 2.8 | Negative |
GlobalSearchEnginesFeatures
tags: feature extraction, regression, sentiment analysis
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'GlobalSearchEnginesFeatures' dataset compiles various attributes and user feedback metrics from multiple leading search engines worldwide. The dataset is designed for machine learning applications in feature extraction and sentiment analysis, focusing on aspects that influence search engine performance and user satisfaction.
CSV Content Preview:
index,SearchEngine,UserInterface,MobileFriendly,SEOfriendly,AlgorithmTransparency,UserSatisfaction,EngagementScore,RelevanceRating,FeedbackSentiment
1,"Google","High","Yes","High","Medium","Very High","A","4.5","Positive"
2,"Bing","Medium","Yes","Medium","Low","High","B","4.0","Neutral"
3,"Yahoo","Low","No","Low","High","Medium","C","3.5","Negative"
4,"DuckDuckGo","Medium","Yes","High","High","High","A","4.8","Very Positive"
5,"Baidu","High","Yes","Medium","Medium","Medium","A","4.2","Positive"
The dataset features a comprehensive list of popular search engines along with qualitative and quantitative data. The Labels column (named UserSatisfaction, EngagementScore, and FeedbackSentiment) provides categorical data representing the overall user satisfaction and sentiment analysis from user feedback, while the AlgorithmTransparency offers insight into how transparent the search engine is about its ranking algorithms. This information can be utilized in regression analysis to predict trends in user satisfaction or in developing more user-centric search engines.
Source of the data:
The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'list of search engines ':
- Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=list+of+search+engines+&dataset=GlobalSearchEnginesFeatures&tags=feature+extraction,+regression,+sentiment+analysis
- Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub
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