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---

task_categories:
- translation
language:
- eng
- spa
- fra
- heb
- ita
- jpn
- kor
- por
- rus
- tur
- zho
multilinguality:
  - multilingual
configs:
- config_name: EN
  data_files:
    - split: train
      path: "ted_talks_en.csv"
- config_name: ES
  data_files:
    - split: train
      path: "ted_talks_es.csv"
- config_name: FR
  data_files:
    - split: train
      path: "ted_talks_fr.csv"
- config_name: HE
  data_files:
    - split: train
      path: "ted_talks_he.csv"
- config_name: IT
  data_files:
    - split: train
      path: "ted_talks_it.csv"
- config_name: JA
  data_files:
    - split: train
      path: "ted_talks_ja.csv"
- config_name: KO
  data_files:
    - split: train
      path: "ted_talks_ko.csv"
- config_name: PT-BR
  data_files:
    - split: train
      path: "ted_talks_pt-br.csv"
- config_name: RU
  data_files:
    - split: train
      path: "ted_talks_ru.csv"
- config_name: TR
  data_files:
    - split: train
      path: "ted_talks_tr.csv"
- config_name: ZH-CN
  data_files:
    - split: train
      path: "ted_talks_zh-cn.csv"
- config_name: ZH-TW
  data_files:
    - split: train
      path: "ted_talks_zh-tw.csv"
---


> [!NOTE]
> Dataset origin: https://www.kaggle.com/datasets/miguelcorraljr/ted-ultimate-dataset


## Context

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.

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).

## Attributes
| Attribute      | Description                                    | Data Type  |
|----------------|------------------------------------------------|------------|
| talk_id        | Talk identification number provided by TED     | int         |

| title          | Title of the talk                              | string      |

| speaker_1      | First speaker in TED's speaker list            | string      |
| speakers       | Speakers in the talk                           | dictionary  | 
| occupations    | *Occupations of the speakers                   | dictionary  |

| about_speakers | *Blurb about each speaker                      | dictionary  |
| views          | Count of views                                 | int         |
| recorded_date  | Date the talk was recorded                     | string      |

| published_date | Date the talk was published to TED com         | string      |
| event          | Event or medium in which the talk was given    | string      |
| native_lang    | Language the talk was given in                 | string      |

| available_lang | All available languages (lang_code) for a talk | list        |

| comments       | Count of comments                              | int         |

| duration       | Duration in seconds                            | int         |

| topics         | Related tags or topics for the talk            | list        |

| related_talks  | Related talks (key='talk_id', value='title')   | dictionary  | 

| url            | URL of the talk                                | string      |

| description    | Description of the talk                        | string      |

| transcript     | Full transcript of the talk                    | string      |



*The dictionary key maps to the speaker in ‘speakers’.



##  Meta



Author: Miguel Corral Jr.  

Email: [email protected]  

LinkedIn: https://www.linkedin.com/in/iMiguel/  

GitHub: https://github.com/corralm



## License

Distributed under the Creative Commons license – Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).