--- annotations_creators: - expert-generated language_creators: - crowdsourced - expert-generated language: - af - am - ar - arq - art - as - ast - az - be - bg - bi - bn - bo - bs - ca - ceb - cnh - cs - da - de - el - en - eo - es - et - eu - fa - fi - fil - fr - ga - gl - gu - ha - he - hi - hr - ht - hu - hup - hy - id - ig - inh - is - it - ja - ka - kk - km - kn - ko - ku - ky - la - lb - lo - lt - ltg - lv - mg - mk - ml - mn - mr - ms - mt - my - nb - ne - nl - nn - oc - pa - pl - ps - pt - ro - ru - rup - sh - si - sk - sl - so - sq - sr - sv - sw - szl - ta - te - tg - th - tl - tlh - tr - tt - ug - uk - ur - uz - vi - zh language_bcp47: - art-x-bork - fr-CA - pt-BR - zh-CN - zh-TW license: - cc-by-nc-nd-4.0 multilinguality: - translation size_categories: - 1K http://www.ted.com/talks/ryan_holladay_to_hear_this_music_you_have_to_be_there_literally.html 66634 Sun Jan 12 15:17:32 CET 2014 text/html; charset=utf-8 utf-8 http://download.ted.com/talks/RyanHolladay_2013S.mp4 talks/RyanHolladay_2013S.mp4 (Music) For any of you who have visited or lived in New York City, these shots might start to look familiar. This is Central Park, . . . for people to interact with and experience music. Thank you. (Applause) 1903 Ryan Holladay: To hear this music you have to be there. Literally The music industry ......segments of sounds that only play when a listener is physically nearby. (Filmed at TED@BCG.) entertainment,music,technology http://images.ted.com/images/ted/d98c17773da6f84e9f915895c270c7ffd2de3778_389x292.jpg 2014/01/12 885 5051 (Music) For any of you who have visited or lived in New York City, these shots might start to look familiar. This is Central Park, ............new ways for people to interact with and experience music. Thank you. (Applause) ``` ### Data Fields The fields of the dataset are: - translation: - : text in - L translated text in Information about the original data files: For each language, a single XML file is generated which includes all talks subtitled in that language. Each talk is enclosed in tags `` and `` and includes, among other tags: | Tags | Description | |---|:---| | ``| the address of the original HTML document of the talk | | `` | the name of the talk speaker | | `` | the numeric talk identifier | | `` | talk subtitles split in captions | | `` | the issue date of the talk | | `` | talk subtitles | ### Data Splits The paper doesn't provide any specific train-test-dev splits. However data can be split by available years (2014, 2015, 2016) ## Dataset Creation ### Curation Rationale TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English and their translations in more than 80 languages. Aside from its cultural and social relevance, this content, which is published under the Creative Commons BYNC-ND license, also represents a precious language resource for the machine translation research community, thanks to its size, variety of topics, and covered languages. ### Source Data #### Initial Data Collection and Normalization The talks were collected from the [Ted Conference website](http://www.ted.com/) #### Who are the source language producers? [Needs More Information] ### Annotations #### Annotation process [Needs More Information] #### Who are the annotators? Translation has been contributed by volunteers ### Personal and Sensitive Information No personal and sensitive information is provided in the dataset. All talks are publicly available ## Considerations for Using the Data ### Social Impact of Dataset In statistical machine translation, large amount of in-domain parallel data are usually required to properly train translation and reordering models. With more than 900+ Ted talks (as of 2011) and translation in more than 90+ languages. This dataset provides a useful resource for the MT research community. In turn, this enables easy access to a vast treasure trove of human knowledge. ### Discussion of Biases [Needs More Information] ### Other Known Limitations [Needs More Information] ## Additional Information ### Dataset Curators The original dataset was curated by: [Mauro Cettolo](mailto:cettolo@fbk.eu) [Roldano Cattoni](mailto:cattoni@fbk.eu) Author: Christian Girardi For issues with the HuggingFace Dataset implementation, reach out: [Aakash Gupta](mailto:aakashg80@gmail.com) ### Licensing Information cc-by-nc-nd-4.0 ### Citation Information ``` @inproceedings{cettolo-etal-2012-wit3, title = "{WIT}3: Web Inventory of Transcribed and Translated Talks", author = "Cettolo, Mauro and Girardi, Christian and Federico, Marcello", booktitle = "Proceedings of the 16th Annual conference of the European Association for Machine Translation", month = may # " 28{--}30", year = "2012", address = "Trento, Italy", publisher = "European Association for Machine Translation", url = "https://www.aclweb.org/anthology/2012.eamt-1.60", pages = "261--268", } ``` ### Contributions Thanks to [@skyprince999](https://github.com/skyprince999) for adding this dataset.