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'