import numpy as np
import pandas as pd
from nlp import load_dataset

dataset = load_dataset("social_bias_frames") # 2020
dataset = load_dataset("hyperpartisan_news_detection") # 2019
dataset = load_dataset("event2Mind") # 2018
dataset = load_dataset("emotion") # 2018
dataset = load_dataset("sentiment140") # 2009
dataset = load_dataset("squad_v2")
dataset = load_dataset("squadshifts") # 2020
dataset = load_dataset("webis/tl_dr") # 2017
dataset = load_dataset("wiki_dpr") # 2020
dataset = load_dataset("wiki_snippets")
dataset = load_dataset("wikipedia")
dataset = load_dataset("wikitext") # 2016
dataset = load_dataset("yelp_polarity")
dataset = load_dataset("newsroom") # 2018
dataset = load_dataset("multi_news") # 2019
dataset = load_dataset("imdb") # 2011
dataset = load_dataset("cnn_dailymail") # 2017
dataset = load_dataset("civil_comments") # 2017


# Maybe
dataset = load_dataset("social_i_qa")
dataset = load_dataset("sogou_news")
dataset = load_dataset("super_glue") # 2019
dataset = load_dataset("rotten_tomatoes") # 2005
dataset = load_dataset("reddit") # 2017
dataset = load_dataset("quora")
dataset = load_dataset("opinosis") # 2010
dataset = load_dataset("emo") # 2019
dataset = load_dataset("coarse_discourse") # 2016






