Datasets:
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README.md
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</pre>
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List of domains (and number of sentences per domain)
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AUT: Automotive, transport, traffic regulations (2.289.951)
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LSM: Medicine, natural sciences, food/nutrition, biology, sexology, cosmetics, chemistry, genetics (457.647)
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ENV: Environment, agriculture, forestry, fisheries, farming, zoology, ecology
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FIN: Finance, economics, business, entrepreneurship, business, competitions, labour, employment, accounting, insurance, insurance
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POL: Politics, international relations, European Union, international organisations, defence, military
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PRN: Porn, inappropriate content
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COM: Computers, IT, robotics, domotics, home automation, telecommunications
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ING: Pure engineering (mechanical, electrical, electronic, aerospace...), meteorology, mining, engineering, maritime, acoustics
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ARC: Architecture, civil engineering, construction, public engineering
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MAT: Mathematics, statistics, physics
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HRM: History, religion, mythology, folklore, philosophy, psychology, ethics, anthropology, tourism
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CUL: Art, poetry, literature, cinema, video games, theatre, theatre/film scripts, esotericism, astrology, sports, music, photography
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GEN: General - generic cathegory with topics such as clothing, textiles, gastronomy,
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List of text types
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PAT: Patents
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SM: Social
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CON:
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EML: Emails
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MNL: Manuals, data sheets
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NEW: News, journalism
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GEN: Prose, generic type of text
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### Data Splits
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The dataset contains a single split: `train`.
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## Dataset Creation
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</pre>
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#### List of domains (and number of sentences per domain):
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AUT: Automotive, transport, traffic regulations (2.289.951)
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LSM: Medicine, natural sciences, food/nutrition, biology, sexology, cosmetics, chemistry, genetics (457.647)
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ENV: Environment, agriculture, forestry, fisheries, farming, zoology, ecology (681.813)
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FIN: Finance, economics, business, entrepreneurship, business, competitions, labour, employment, accounting, insurance, insurance (292.865)
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POL: Politics, international relations, European Union, international organisations, defence, military (451.569)
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PRN: Porn, inappropriate content (597.926)
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COM: Computers, IT, robotics, domotics, home automation, telecommunications (1.200.192)
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ING: Pure engineering (mechanical, electrical, electronic, aerospace...), meteorology, mining, engineering, maritime, acoustics (581.722)
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ARC: Architecture, civil engineering, construction, public engineering (663.985)
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MAT: Mathematics, statistics, physics (216.635)
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HRM: History, religion, mythology, folklore, philosophy, psychology, ethics, anthropology, tourism (1.362.302)
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CUL: Art, poetry, literature, cinema, video games, theatre, theatre/film scripts, esotericism, astrology, sports, music, photography (2.774.420)
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GEN: General - generic cathegory with topics such as clothing, textiles, gastronomy, etc. (1.832.164)
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#### List of text types (and number of sentences per text type):
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PAT: Patents (583.353)
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SM: Social media, chats, forums, tweets (6.420.644)
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CON: Oral language, transcription of conversations, subtitles (3.709.344)
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EML: Emails (543.010)
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MNL: Manuals, data sheets (1.379.021)
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NEW: News, journalism (1.346.845)
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GEN: Prose, generic type of text (985.761)
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### Data Splits
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The dataset contains a single split: `train`.
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Individual domain or style specific subsets can be extracted from the original dataset by filtering by the previously mentioned domains and text types.
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## Dataset Creation
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