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Recording Studios
- datasets.ai
- data.cityofnewyork.us
- +3more
55Updated Aug 6, 2024
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EmailClick to copy linkLink copiedCiteCity of New York (2024). Recording Studios [Dataset]. https://datasets.ai/datasets/recording-studios55Available download formatsDataset updatedAug 6, 2024Dataset authored and provided byCity of New YorkDescriptionList of local recording studios
The Best Sarcasm Annotated Dataset in Spanish
- kaggle.com
Updated Jun 21, 2020+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteMika Hämäläinen (2020). The Best Sarcasm Annotated Dataset in Spanish [Dataset]. http://doi.org/10.34740/kaggle/dsv/1268848CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Unique identifierhttps://doi.org/10.34740/kaggle/dsv/1268848Dataset updatedJun 21, 2020AuthorsMika HämäläinenLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionContent
This dataset contains all utterances of two episodes of South Park (Latin American voices) and two episodes of Archer (Spanish voices). The order of the utterances is shuffled. Each utterance has been annotated based on whether it is sarcastic or not. Sarcastic expressions also contain further annotation based on different theories on sarcasm.
This corpus is unique because it is annotated from primarily audiovisual media. It also contains a lot of negative examples of sentences that are meant to be humorous or outrageous, but not sarcastic. This data provides thus a closer to real life benchmark for any sarcasm detection system.
Cite
I annotated this data for my MA thesis, so please cite it if you use this data.
Hämäläinen, Mika (2016). Reconocimiento automático del sarcasmo: ¡Esto va a funcionar bien!. Helsinki: University of Helsinki, Department of Modern Languages.
Inspiration
- Sarcasm detection
- Prediction of the theoretical categories of sarcasm
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elevenlabs
- huggingface.co
Updated May 11, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCitedd (2025). elevenlabs [Dataset]. https://huggingface.co/datasets/Sh1man/elevenlabsDataset updatedMay 11, 2025AuthorsddLicenseAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automaticallyDescriptionВведение
Набор данных Elevenlabs - это высококачественный (48 кГц) набор данных синтетической речи в формате mono wav общим обьемом по времени на 15ч 56м 47с 133мс
СтатистикаDataset Voice total (hrs)
den4ikai Arcades 2.30
den4ikai Alexandr Vlasov - Professional Voiceover 3.08
den4ikai Ana 2.05
den4ikai Saira 2.22
fairy_tales_children Saira 1.21
fairy_tales_children Soft Female Russian voice 4.27
Total
15.56h
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Code for EchoTables (IKILeUS)
- darus.uni-stuttgart.de
Updated Feb 28, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteNadeen Fathallah; Steffen Staab (2025). Code for EchoTables (IKILeUS) [Dataset]. http://doi.org/10.18419/DARUS-4774CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Unique identifierhttps://doi.org/10.18419/DARUS-4774Dataset updatedFeb 28, 2025Dataset provided byDaRUSAuthorsNadeen Fathallah; Steffen StaabLicensehttps://spdx.org/licenses/MIT.htmlhttps://spdx.org/licenses/MIT.html
Time period coveredAug 1, 2022 - Nov 30, 2024Dataset funded byGerman Federal Ministry of Education and Research (BMBF)DescriptionEchoTables is an innovative accessibility tool developed as part of the IKILeUS project at the University of Stuttgart. It is designed to improve the usability of tabular data for visually impaired users by converting structured tables into concise, auditory-friendly textual summaries. Traditional screen readers navigate tables linearly, which imposes a high cognitive load on users. EchoTables alleviates this issue by summarizing tables, facilitating quicker comprehension and more efficient information retrieval. Initially utilizing RUCAIBox (LLM), EchoTables transitioned to Mistral-7B, a more powerful open-source model, to enhance processing efficiency and scalability. The tool has been tested with widely used screen readers such as VoiceOver to ensure accessibility. EchoTables has been adapted to process diverse data sources, including lecture materials, assignments, and WikiTables, making it a valuable resource for students navigating complex datasets.
- r
Data from: Ebook accessibility testing: accessibility ranking by ebook...
- researchdata.edu.au
docxUpdated Jan 1, 2018ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMs Pam Schindler; Ms Pam Schindler; Ms Julie Oates; Ms Julie Oates (2018). Ebook accessibility testing: accessibility ranking by ebook platform [Dataset]. http://doi.org/10.14264/UQL.2018.666docx(29637)Available download formatsUnique identifierhttps://doi.org/10.14264/UQL.2018.666Dataset updatedJan 1, 2018Dataset provided byThe University of QueenslandAuthorsMs Pam Schindler; Ms Pam Schindler; Ms Julie Oates; Ms Julie OatesLicensehttps://creativecommons.org/licenses/by_nc_nd/3.0/deed.enhttps://creativecommons.org/licenses/by_nc_nd/3.0/deed.en
Time period coveredMar 1, 2017 - Dec 22, 2017DescriptionThe topic of the dataset is the accessibility of academic ebook platforms for users with a print disability. The dataset is a table in Word format, ranking 14 ebook platforms in bands from "more accessible platforms" to "less accessible platforms", based on testing done as part of the University of Queensland Library's Ebook Accessibility Project, conducted in 2017. The table includes scoring from the Jisc Ebook Accessibility Audit and observations regarding how each platform performed with the screenreaders NVDA and VoiceOver.
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