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- ---
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- task_categories:
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- - translation
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- language:
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- - en
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- - es
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- - fr
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- - he
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- - it
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- - ja
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- - ko
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- - pt
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- - ru
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- - tr
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- - zh
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- multilinguality:
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- - multilingual
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- configs:
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- - config_name: EN
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- data_files:
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- - split: train
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- path: "ted_talks_en.csv"
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- - config_name: ES
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- data_files:
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- - split: train
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- path: "ted_talks_es.csv"
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- - config_name: FR
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- data_files:
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- - split: train
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- path: "ted_talks_fr.csv"
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- - config_name: HE
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- data_files:
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- - split: train
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- path: "ted_talks_he.csv"
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- - config_name: IT
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- data_files:
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- - split: train
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- path: "ted_talks_it.csv"
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- - config_name: JA
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- data_files:
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- - split: train
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- path: "ted_talks_ja.csv"
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- - config_name: KO
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- data_files:
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- - split: train
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- path: "ted_talks_ko.csv"
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- - config_name: PT-BR
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- data_files:
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- - split: train
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- path: "ted_talks_pt-br.csv"
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- - config_name: RU
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- data_files:
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- - split: train
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- path: "ted_talks_ru.csv"
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- - config_name: TR
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- data_files:
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- - split: train
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- path: "ted_talks_tr.csv"
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- - config_name: ZH-CN
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- data_files:
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- - split: train
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- path: "ted_talks_zh-cn.csv"
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- - config_name: ZH-TW
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- data_files:
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- - split: train
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- path: "ted_talks_zh-tw.csv"
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- ---
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-
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- > [!NOTE]
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- > Dataset origin: https://www.kaggle.com/datasets/miguelcorraljr/ted-ultimate-dataset
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-
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-
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- ## Context
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-
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- TED is devoted to spreading powerful ideas in just about any topic. These datasets contain over 4,000 TED talks including transcripts in many languages.
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-
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- If you would like a dataset for a language that is not listed below or a in a different file format (JSON, SQL, etc.), please checkout my Python module – [TEDscraper](https://github.com/corralm/ted-scraper).
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-
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- ## Attributes
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- | Attribute | Description | Data Type |
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- |----------------|------------------------------------------------|------------|
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- | talk_id | Talk identification number provided by TED | int |
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- | title | Title of the talk | string |
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- | speaker_1 | First speaker in TED's speaker list | string |
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- | speakers | Speakers in the talk | dictionary |
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- | occupations | *Occupations of the speakers | dictionary |
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- | about_speakers | *Blurb about each speaker | dictionary |
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- | views | Count of views | int |
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- | recorded_date | Date the talk was recorded | string |
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- | published_date | Date the talk was published to TED com | string |
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- | event | Event or medium in which the talk was given | string |
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- | native_lang | Language the talk was given in | string |
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- | available_lang | All available languages (lang_code) for a talk | list |
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- | comments | Count of comments | int |
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- | duration | Duration in seconds | int |
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- | topics | Related tags or topics for the talk | list |
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- | related_talks | Related talks (key='talk_id', value='title') | dictionary |
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- | url | URL of the talk | string |
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- | description | Description of the talk | string |
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- | transcript | Full transcript of the talk | string |
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-
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- *The dictionary key maps to the speaker in ‘speakers’.
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-
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- ## Meta
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-
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- Author: Miguel Corral Jr.
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- LinkedIn: https://www.linkedin.com/in/iMiguel/
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- GitHub: https://github.com/corralm
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-
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- ## License
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  Distributed under the Creative Commons license – Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
 
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+ ---
2
+ task_categories:
3
+ - translation
4
+ language:
5
+ - eng
6
+ - spa
7
+ - fra
8
+ - heb
9
+ - ita
10
+ - jpn
11
+ - kor
12
+ - por
13
+ - rus
14
+ - tur
15
+ - zho
16
+ multilinguality:
17
+ - multilingual
18
+ configs:
19
+ - config_name: EN
20
+ data_files:
21
+ - split: train
22
+ path: "ted_talks_en.csv"
23
+ - config_name: ES
24
+ data_files:
25
+ - split: train
26
+ path: "ted_talks_es.csv"
27
+ - config_name: FR
28
+ data_files:
29
+ - split: train
30
+ path: "ted_talks_fr.csv"
31
+ - config_name: HE
32
+ data_files:
33
+ - split: train
34
+ path: "ted_talks_he.csv"
35
+ - config_name: IT
36
+ data_files:
37
+ - split: train
38
+ path: "ted_talks_it.csv"
39
+ - config_name: JA
40
+ data_files:
41
+ - split: train
42
+ path: "ted_talks_ja.csv"
43
+ - config_name: KO
44
+ data_files:
45
+ - split: train
46
+ path: "ted_talks_ko.csv"
47
+ - config_name: PT-BR
48
+ data_files:
49
+ - split: train
50
+ path: "ted_talks_pt-br.csv"
51
+ - config_name: RU
52
+ data_files:
53
+ - split: train
54
+ path: "ted_talks_ru.csv"
55
+ - config_name: TR
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+ data_files:
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+ - split: train
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+ path: "ted_talks_tr.csv"
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+ - config_name: ZH-CN
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+ data_files:
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+ - split: train
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+ path: "ted_talks_zh-cn.csv"
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+ - config_name: ZH-TW
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+ data_files:
65
+ - split: train
66
+ path: "ted_talks_zh-tw.csv"
67
+ ---
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+
69
+ > [!NOTE]
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+ > Dataset origin: https://www.kaggle.com/datasets/miguelcorraljr/ted-ultimate-dataset
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+
72
+
73
+ ## Context
74
+
75
+ TED is devoted to spreading powerful ideas in just about any topic. These datasets contain over 4,000 TED talks including transcripts in many languages.
76
+
77
+ If you would like a dataset for a language that is not listed below or a in a different file format (JSON, SQL, etc.), please checkout my Python module – [TEDscraper](https://github.com/corralm/ted-scraper).
78
+
79
+ ## Attributes
80
+ | Attribute | Description | Data Type |
81
+ |----------------|------------------------------------------------|------------|
82
+ | talk_id | Talk identification number provided by TED | int |
83
+ | title | Title of the talk | string |
84
+ | speaker_1 | First speaker in TED's speaker list | string |
85
+ | speakers | Speakers in the talk | dictionary |
86
+ | occupations | *Occupations of the speakers | dictionary |
87
+ | about_speakers | *Blurb about each speaker | dictionary |
88
+ | views | Count of views | int |
89
+ | recorded_date | Date the talk was recorded | string |
90
+ | published_date | Date the talk was published to TED com | string |
91
+ | event | Event or medium in which the talk was given | string |
92
+ | native_lang | Language the talk was given in | string |
93
+ | available_lang | All available languages (lang_code) for a talk | list |
94
+ | comments | Count of comments | int |
95
+ | duration | Duration in seconds | int |
96
+ | topics | Related tags or topics for the talk | list |
97
+ | related_talks | Related talks (key='talk_id', value='title') | dictionary |
98
+ | url | URL of the talk | string |
99
+ | description | Description of the talk | string |
100
+ | transcript | Full transcript of the talk | string |
101
+
102
+ *The dictionary key maps to the speaker in ‘speakers’.
103
+
104
+ ## Meta
105
+
106
+ Author: Miguel Corral Jr.
107
108
+ LinkedIn: https://www.linkedin.com/in/iMiguel/
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+ GitHub: https://github.com/corralm
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+
111
+ ## License
112
  Distributed under the Creative Commons license – Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).