class a146283_datasource(CSVDatasouce):
# from sandy/
'''
Counts:
6 A shelter is open or available
20 A hurricane warning has been issued or has been lifted
23 A hurricane sighting has been reported
77 Other
'''
filepath = globfirst('**/a146283.csv', root=corpora_root)
label_column = 'type_of_advice_or_caution'
text_column = 'tweet'
class a122047_datasource(CSVDatasouce):
# from joplin/
'''
Counts:
3 A shelter is open or available
27 A siren has been heard
99 A tornado sighting/touchdown has been reported
102 Other
207 A tornado/thunderstorm warning has been issued or has been lifted
'''
filepath = globfirst('**/a122047.csv', root=corpora_root)
label_column = 'type_of_advice_or_caution'
text_column = 'text'
class a131709_datasource(CSVDatasouce):
# from joplin/
'''
Counts:
94 Other
265 Informative (Direct)
469 Informative (Indirect)
762 Informative (Direct or Indirect)
794 Personal only
'''
filepath = globfirst('**/a131709.csv', root=corpora_root)
label_column = 'choose_one'
text_column = 'tweet'
class a144267_datasource(CSVDatasouce):
# from sandy/
'''
Counts:
32 Donations of money, goods or services
72 Information Source
125 Unknown
144 Caution and advice
170 Casualties and damage
'''
filepath = globfirst('**/a144267.csv', root=corpora_root)
label_column = 'choose_one'
text_column = 'tweet'
class a143145_datasource(CSVDatasouce):
# from sandy/
'''
Counts:
78 Informative (Direct)
79 Informative (Direct or Indirect)
161 Other
296 Personal Only
386 Informative (Indirect)
'''
filepath = globfirst('**/a143145.csv', root=corpora_root)
label_column = 'choose_one'
text_column = 'tweet'
class a122582_datasource(CSVDatasouce):
# from joplin/
'''
Counts:
4 Tune to this radio station (or: I am listening to this station)
10 Watch this TV channel (or: I am watching this channel)
33 None of the above
35 Look at this photo or these photos
58 Look at this video or these videos
139 Look at this web site/page
'''
filepath = globfirst('**/a122582.csv', root=corpora_root)
label_column = 'type_of_message'
text_column = 'text'
class a126730_datasource(CSVDatasouce):
# from joplin/
'''
Counts:
1 Both people and infrastructure
1 People: injured
2 People: injured and dead
12 Not damage-related
17 Infrastructure (building, bridge, road, etc.) damaged
47 Not specified (maybe people or infrastructure)
58 People: dead
'''
filepath = globfirst('**/a126730.csv', root=corpora_root)
label_column = 'people_or_infrastructure'
text_column = 'text'
class a121571_datasource(CSVDatasouce):
# from joplin/
'''
Counts:
46 People missing, found or seen
130 Unknown
137 Casualties and damage
204 Donations of money, goods or services
280 Information source
436 Caution and advice
'''
# TODO: come up with a better name
filepath = globfirst('**/a121571.csv', root=corpora_root)
label_column = 'choose_one'
text_column = 'text'
class a146281_datasource(CSVDatasouce):
# from sandy/
'''
Counts:
1 People: injured
3 People: injured and dead
12 Not specified (maybe people or infrastructure)
13 Both people and infrastructure
16 Not damage-related
34 People: dead
91 Infrastructure (building, bridge, road, etc.) damage
'''
filepath = globfirst('**/a146281.csv', root=corpora_root)
label_column = 'people_or_infrastructure'
text_column = 'tweet'
class a126728_datasource(CSVDatasouce):
# from joplin/
'''
Counts:
2 Discount (rebate/special offer)
3 Blood
3 Equipment (machine/generator/pump/etc.)
6 Food
7 Shelter
11 Volunteers/work
53 Money
119 Other, or not specified
'''
filepath = globfirst('**/a126728.csv', root=corpora_root)
label_column = 'type_of_donation'
text_column = 'text'