Datasets:

Modalities:
Tabular
Text
Formats:
csv
DOI:
Libraries:
Datasets
pandas
License:
fdelucaf commited on
Commit
1674eea
·
verified ·
1 Parent(s): 561a5c8

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +22 -20
README.md CHANGED
@@ -68,7 +68,8 @@ Each example contains the following 7 fields:
68
 
69
  </pre>
70
 
71
- List of domains (and number of sentences per domain)
 
72
 
73
  AUT: Automotive, transport, traffic regulations (2.289.951)
74
 
@@ -78,49 +79,50 @@ MWM: Marketing, web, merchandising, customer support and service, e-commerce , a
78
 
79
  LSM: Medicine, natural sciences, food/nutrition, biology, sexology, cosmetics, chemistry, genetics (457.647)
80
 
81
- ENV: Environment, agriculture, forestry, fisheries, farming, zoology, ecology
82
 
83
- FIN: Finance, economics, business, entrepreneurship, business, competitions, labour, employment, accounting, insurance, insurance
84
 
85
- POL: Politics, international relations, European Union, international organisations, defence, military
86
 
87
- PRN: Porn, inappropriate content
88
 
89
- COM: Computers, IT, robotics, domotics, home automation, telecommunications
90
 
91
- ING: Pure engineering (mechanical, electrical, electronic, aerospace...), meteorology, mining, engineering, maritime, acoustics
92
 
93
- ARC: Architecture, civil engineering, construction, public engineering
94
 
95
- MAT: Mathematics, statistics, physics
96
 
97
- HRM: History, religion, mythology, folklore, philosophy, psychology, ethics, anthropology, tourism
98
 
99
- CUL: Art, poetry, literature, cinema, video games, theatre, theatre/film scripts, esotericism, astrology, sports, music, photography
100
 
101
- GEN: General - generic cathegory with topics such as clothing, textiles, gastronomy, etc.
102
 
103
 
104
- List of text types
105
 
106
- PAT: Patents
107
 
108
- SM: Social Media (social networks, chats, forums, tweets...)
109
 
110
- CON: Vernacular (transcription of conversations, subtitles)
111
 
112
- EML: Emails
113
 
114
- MNL: Manuals, data sheets
115
 
116
- NEW: News, journalism
117
 
118
- GEN: Prose, generic type of text
119
 
120
 
121
  ### Data Splits
122
 
123
  The dataset contains a single split: `train`.
 
124
 
125
  ## Dataset Creation
126
 
 
68
 
69
  </pre>
70
 
71
+ #### List of domains (and number of sentences per domain):
72
+
73
 
74
  AUT: Automotive, transport, traffic regulations (2.289.951)
75
 
 
79
 
80
  LSM: Medicine, natural sciences, food/nutrition, biology, sexology, cosmetics, chemistry, genetics (457.647)
81
 
82
+ ENV: Environment, agriculture, forestry, fisheries, farming, zoology, ecology (681.813)
83
 
84
+ FIN: Finance, economics, business, entrepreneurship, business, competitions, labour, employment, accounting, insurance, insurance (292.865)
85
 
86
+ POL: Politics, international relations, European Union, international organisations, defence, military (451.569)
87
 
88
+ PRN: Porn, inappropriate content (597.926)
89
 
90
+ COM: Computers, IT, robotics, domotics, home automation, telecommunications (1.200.192)
91
 
92
+ ING: Pure engineering (mechanical, electrical, electronic, aerospace...), meteorology, mining, engineering, maritime, acoustics (581.722)
93
 
94
+ ARC: Architecture, civil engineering, construction, public engineering (663.985)
95
 
96
+ MAT: Mathematics, statistics, physics (216.635)
97
 
98
+ HRM: History, religion, mythology, folklore, philosophy, psychology, ethics, anthropology, tourism (1.362.302)
99
 
100
+ CUL: Art, poetry, literature, cinema, video games, theatre, theatre/film scripts, esotericism, astrology, sports, music, photography (2.774.420)
101
 
102
+ GEN: General - generic cathegory with topics such as clothing, textiles, gastronomy, etc. (1.832.164)
103
 
104
 
105
+ #### List of text types (and number of sentences per text type):
106
 
107
+ PAT: Patents (583.353)
108
 
109
+ SM: Social media, chats, forums, tweets (6.420.644)
110
 
111
+ CON: Oral language, transcription of conversations, subtitles (3.709.344)
112
 
113
+ EML: Emails (543.010)
114
 
115
+ MNL: Manuals, data sheets (1.379.021)
116
 
117
+ NEW: News, journalism (1.346.845)
118
 
119
+ GEN: Prose, generic type of text (985.761)
120
 
121
 
122
  ### Data Splits
123
 
124
  The dataset contains a single split: `train`.
125
+ Individual domain or style specific subsets can be extracted from the original dataset by filtering by the previously mentioned domains and text types.
126
 
127
  ## Dataset Creation
128