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Agnews Topic classification dataset
https://github.com/weakrules/Denoise-multi-weak-sources/blob/master/rules-noisy-labels/Agnews/angews_rule.py
# Labels
"0": "World",
"1": "Sports",
"2": "Business",
"3": "Sci/Tech"
# Labeling functions (all 9 lf are keyword lf)
## LF1 0: world
r1 = ["atomic", "captives", "baghdad", "israeli", "iraqis", "iranian", "afghanistan", "wounding", "terrorism", "soldiers", \
"palestinians", "palestinian", "policemen", "iraqi", "terrorist", 'north korea', 'korea', \
'israel', 'u.n.', 'egypt', 'iran', 'iraq', 'nato', 'armed', 'peace']
## LF2 0: world
r2= [' war ', 'prime minister', 'president', 'commander', 'minister', 'annan', "military", "militant", "kill", 'operator']
## LF3 1: sports
r3 = ["goals", "bledsoe", "coaches", "touchdowns", "kansas", "rankings", "no.", \
"champ", "cricketers", "hockey", "champions", "quarterback", 'club', 'team', 'baseball', 'basketball', 'soccer', 'football', 'boxing', 'swimming', \
'world cup', 'nba',"olympics","final", "finals", 'fifa', 'racist', 'racism']
## LF4 1: sports
r4 = ['athlete', 'striker', 'defender', 'goalkeeper', 'midfielder', 'shooting guard', 'power forward', 'point guard', 'pitcher', 'catcher', 'first base', 'second base', 'third base','shortstop','fielder']
## LF5 1: sports
r5=['lakers','chelsea', 'piston','cavaliers', 'rockets', 'clippers','ronaldo', \
'celtics', 'hawks','76ers', 'raptors', 'pacers', 'suns', 'warriors','blazers','knicks','timberwolves', 'hornets', 'wizards', 'nuggets', 'mavericks', 'grizzlies', 'spurs', \
'cowboys', 'redskins', 'falcons', 'panthers', 'eagles', 'saints', 'buccaneers', '49ers', 'cardinals', 'texans', 'seahawks', 'vikings', 'patriots', 'colts', 'jaguars', 'raiders', 'chargers', 'bengals', 'steelers', 'browns', \
'braves','marlins','mets','phillies','cubs','brewers','cardinals', 'diamondbacks','rockies', 'dodgers', 'padres', 'orioles', 'sox', 'yankees', 'jays', 'sox', 'indians', 'tigers', 'royals', 'twins','astros', 'angels', 'athletics', 'mariners', 'rangers', \
'arsenal', 'burnley', 'newcastle', 'leicester', 'manchester united', 'everton', 'southampton', 'hotspur','tottenham', 'fulham', 'watford', 'sheffield','crystal palace', 'derby', 'charlton', 'aston villa', 'blackburn', 'west ham', 'birmingham city', 'middlesbrough', \
'real madrid', 'barcelona', 'villarreal', 'valencia', 'betis', 'espanyol','levante', 'sevilla', 'juventus', 'inter milan', 'ac milan', 'as roma', 'benfica', 'porto', 'getafe', 'bayern', 'schalke', 'bremen', 'lyon', 'paris saint', 'monaco', 'dynamo']
## LF6 3: tech
r6 = ["technology", "engineering", "science", "research", "cpu", "windows", "unix", "system", 'computing', 'compute']#, "wireless","chip", "pc", ]
## LF7 3: tech
r7= ["google", "apple", "microsoft", "nasa", "yahoo", "intel", "dell", \
'huawei',"ibm", "siemens", "nokia", "samsung", 'panasonic', \
't-mobile', 'nvidia', 'adobe', 'salesforce', 'linkedin', 'silicon', 'wiki'
]
## LF8 - 2:business
r8= ["stock", "account", "financ", "goods", "retail", 'economy', 'chairman', 'bank', 'deposit', 'economic', 'dow jones', 'index', '$', 'percent', 'interest rate', 'growth', 'profit', 'tax', 'loan', 'credit', 'invest']
## LF9 - 2:business
r9= ["delta", "cola", "toyota", "costco", "gucci", 'citibank', 'airlines'] |