idx
int64 0
99
| name
stringlengths 4
22
| source
stringlengths 3
25
| influence_score
int64 65
99
| label
stringclasses 20
values |
---|---|---|---|---|
0 | John Smith | literature | 87 | character |
1 | Mary Johnson | social_media | 92 | individual |
2 | Alexander Hamilton | history | 76 | historical_figure |
3 | Elizabeth Bennet | literature | 89 | character |
4 | Charlie Brown | popular_culture | 65 | fictional_character |
5 | Darth Vader | popular_culture | 98 | character |
6 | Barack Obama | politics | 95 | individual |
7 | Abraham Lincoln | biographies | 95 | historical_figure |
8 | Harry Potter | popular_culture | 98 | fictional_character |
9 | Gregory House | medical_drama | 94 | character |
10 | Michael Scott | TV_series | 78 | individual |
11 | Leonardo da Vinci | academic_works | 94 | artist_scientist |
12 | Harry Potter | literature | 95 | fictional_character |
13 | John Smith | literature | 87 | character |
14 | Jane Doe | business | 85 | entrepreneur |
15 | Harry Potter | literature | 95 | character |
16 | Oprah Winfrey | media | 98 | individual |
17 | Marie Curie | science_documentaries | 93 | historical_figure |
18 | Sherlock Holmes | literature | 85 | fictional_character |
19 | Elizabeth Bennet | literature | 89 | character |
20 | Sherlock Holmes | literature | 85 | individual |
21 | Cleopatra | history_documentaries | 88 | queen_of_egypt |
22 | Sherlock Holmes | literature | 88 | fictional_character |
23 | Mary Johnson | social_media | 92 | individual |
24 | Emma Watson | film | 79 | actress |
25 | Luke Skywalker | popular_culture | 90 | character |
26 | Elon Musk | technology | 90 | individual |
27 | Albert Einstein | physics_lectures | 98 | historical_figure |
28 | Atticus Finch | literature | 90 | fictional_character |
29 | Harry Potter | fantasy | 99 | character |
30 | Marie Curie | history | 82 | individual |
31 | William Shakespeare | educational_curriculums | 97 | playwright |
32 | Elizabeth Bennet | literature | 90 | fictional_character |
33 | Alexander Hamilton | history | 76 | historical_figure |
34 | Roger Federer | sports | 95 | athlete |
35 | Sherlock Holmes | literature | 88 | character |
36 | Malala Yousafzai | activism | 93 | individual |
37 | Mahatma Gandhi | peace_movements | 90 | historical_figure |
38 | Jessica Rabbit | popular_culture | 88 | fictional_character |
39 | Sherlock Holmes | literature | 95 | character |
40 | Leonardo Da Vinci | history | 90 | individual |
41 | Marie Curie | science_journals | 90 | scientist |
42 | Jay Gatsby | popular_culture | 79 | fictional_character |
43 | Elizabeth Bennet | literature | 89 | character |
44 | Marie Curie | science | 90 | scientist |
45 | Jay Gatsby | literature | 91 | character |
46 | Bill Gates | technology | 94 | individual |
47 | Julius Caesar | historical_dramas | 92 | historical_figure |
48 | Sherlock Holmes | movies | 82 | fictional_character |
49 | Victor Frankenstein | literature | 86 | character |
50 | Amy Tan | literature | 80 | individual |
51 | George Washington | political_speeches | 85 | founding_father |
52 | Frodo Baggins | literature | 85 | fictional_character |
53 | Charlie Brown | popular_culture | 65 | fictional_character |
54 | Malala Yousafzai | humanitarian | 98 | activist |
55 | Hermione Granger | literature | 94 | character |
56 | Jane Goodall | science | 89 | individual |
57 | Cleopatra | romantic_literature | 88 | historical_figure |
58 | Arya Stark | TV series | 80 | fictional_character |
59 | Tony Stark | comic_books | 98 | character |
60 | Steve Jobs | biography | 88 | individual |
61 | Ada Lovelace | computing_textbooks | 81 | mathematician_computer_scientist |
62 | Hermione Granger | literature | 91 | fictional_character |
63 | Sherlock Holmes | literature | 90 | character |
64 | Albert Einstein | physics | 92 | scientist |
65 | Atticus Finch | literature | 90 | character |
66 | Leonardo DiCaprio | film | 85 | individual |
67 | Winston Churchill | WWII_documentaries | 94 | historical_figure |
68 | Eleanor Shellstrop | TV series | 78 | fictional_character |
69 | Sherlock Holmes | television | 90 | character |
70 | Albert Einstein | history | 91 | individual |
71 | Frida Kahlo | art_exhibitions | 82 | painter |
72 | Sherlock Holmes | popular_culture | 75 | fictional_character |
73 | Gandalf | literature | 85 | fictional_character |
74 | Leonardo da Vinci | art | 88 | inventor |
75 | Elsa | popular_culture | 85 | character |
76 | Steve Jobs | technology | 92 | individual |
77 | Martin Luther King Jr. | civil_rights_speeches | 97 | historical_figure |
78 | Tony Stark | popular_culture | 83 | fictional_character |
79 | Harry Potter | film | 96 | character |
80 | Martin Luther King Jr. | history | 84 | individual |
81 | Socrates | philosophy_literature | 86 | philosopher |
82 | Huckleberry Finn | literature | 82 | fictional_character |
83 | Daenerys Targaryen | tv_series | 95 | fictional_character |
84 | Steve Jobs | technology | 93 | innovator |
85 | Daenerys Targaryen | popular_culture | 89 | character |
86 | Arianna Huffington | media | 91 | individual |
87 | Rosa Parks | civil_rights_movements | 89 | historical_figure |
88 | Katniss Everdeen | TV series | 75 | fictional_character |
89 | Iron Man | comic_books | 97 | character |
90 | Julia Child | TV_series | 75 | individual |
91 | Mahatma Gandhi | human_rights_movements | 93 | freedom_fighter |
92 | Daenerys Targaryen | literature | 93 | fictional_character |
93 | Atticus Finch | literature | 91 | character |
94 | Oprah Winfrey | media | 91 | media_personality |
95 | Peter Parker | popular_culture | 86 | character |
96 | Ruth Bader Ginsburg | law | 88 | individual |
97 | Napoleon Bonaparte | military_history_channels | 91 | historical_figure |
98 | Walter White | popular_culture | 70 | fictional_character |
99 | Arya Stark | literature | 88 | character |
NameInfluence
tags: names, influence mapping, social network analysis
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'NameInfluence' dataset comprises records detailing the influence of names within various social networks. It includes metrics derived from social media platforms, literature citations, and public recognition surveys. Each record contains the name of an individual or a character, the sources of their influence, and quantifiable impact scores based on reach and engagement. The dataset can be used for influence mapping and understanding patterns in name popularity and recognition.
CSV Content Preview:
name,source,influence_score,label
John Smith,literature,87,character
Mary Johnson,social_media,92,individual
Alexander Hamilton,history,76,historical_figure
Elizabeth Bennet,literature,89,character
Charlie Brown,popular_culture,65,fictional_character
Source of the data:
The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'names':
- Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=names&dataset=NameInfluence&tags=names,+influence+mapping,+social+network+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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