text: """
  Constants shared across files.
  """
  import re
  
  # special tokens and number regex
  UNK = '_UNK'  # unk/OOV word/char
  WORD_START = '<w>'  # word star
  WORD_END = '</w>'  # word end
  NUM = 'NUM'  # number normalization string
  NUMBERREGEX = re.compile("[0-9]+|[0-9]+\\.[0-9]+|[0-9]+[0-9,]+")
  
  # tasks
  
  TASK_NAMES = ['group', #The target group of the tweet
  			  'annotator_sentiment', #The sentiment of the annotator with respect to the tweet
  			  'directness', #Whether the tweet is direct or indirect hate speech
  			  'target', #The characteristic based on which the tweet discriminates people (e.g., race).
  			  'sentiment' ] #The sentiment expressed by the tweet
  
  # word embeddings
  EMBEDS = ['babylon', 'muse', 'umwe', None]
  
  EMBEDS_FILES = {'babylon': '../data/bi-embedding-babylon78/transformed_embeds/',
  			   'muse': '../data/bi-embedding-muse/',
  			   'umwe':' '}
  
  
  #Dictionary of tasks and corresponding labels
  LABELS = {'group':['arabs', 'other', 'african_descent', 'left_wing_people', 'asians',
   'hispanics', 'muslims', 'individual', 'special_needs', 'christian', 'immigrants', 'jews' , 
   'women', 'indian/hindu', 'gay', 'refugees'],
  		'annotator_sentiment':['indifference', 'sadness', 'disgust', 'shock', 'confusion', 
  		'anger', 'fear'],
  		'directness':['direct', 'indirect'], 
  		'target':['origin', 'religion', 'disability', 'gender', 'sexual_orientation', 'other'],
  		'sentiment':['disrespectful', 'fearful', 'offensive', 'abusive', 'hateful', 'normal']}
  MODIFIED_LABELS = {'group':['arabs', 'other', 'african_descent', 'left_wing_people', 'asians',
   'hispanics', 'muslims', 'individual', 'special_needs', 'christian', 'immigrants', 'jews' , 
   'women', 'indian/hindu', 'gay', 'refugees'],
  		'annotator_sentiment':['indifference', 'sadness', 'shock', 'confusion','anger', 'fear'],
  		'directness':['direct', 'indirect'], 
  		'target':['origin', 'religion', 'disability', 'gender', 'sexual_orientation', 'other'],
  		'sentiment':['somewhatoffensive', 'offensive', 'veryoffensive', 'normal']}
  
  #'directness':['direct', 'indirect', 'none'], #to be added 
  
  # languages
  LANGUAGES = ['ar', 'en', 'fr']
  FULL_LANG = {'ar': 'Arabic', 'en': 'English', 'fr': 'French'}
  
  
  
  
  # optimizers
  SGD = 'sgd'
  ADAM = 'adam'
  
  
  # cross-stitch and layer-stitch initialization schemes
  BALANCED = 'balanced'
  IMBALANCED = 'imbalanced'
  