bias_lexicon.py

from __future__ import absolute_import, division, print_function

import datasets
import os
import pandas as pd
from ast import literal_eval

_DESCRIPTION = "bias lexicon" 
_URL = "lexicon.csv"
_HOMEPAGE = ""
_LICENSE = ""

class LEXI(datasets.GeneratorBasedBuilder):
  
  def _info(self):
    return datasets.DatasetInfo(
        description=_DESCRIPTION,
        features=datasets.Features(
            {"biased_words":datasets.Value("string")}
        )
    )
    
    
  
  def _split_generators(self, dl_manager):
        path = dl_manager.download_and_extract(_URL)

        # There is no predefined train/val/test split for this dataset.
        return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"file_path": path}),
        ]
  
  def _generate_examples(self, file_path):
       df = pd.read_csv(file_path,names=['biased_words'])
        
       for i, row in df.iterrows():
                yield i, {"text":row['biased_words']}