def load_file(fname, skip_unlabeled=True): # XXX: ugly logic if 'sick2014' in fname: return loader.load_sick2014(fname) else: return loader.load_sts(fname, skip_unlabeled=skip_unlabeled)
import sys import os import glob import pandas as pd import pickle sys.path.insert(0,os.path.join(os.getcwd(),"data\\dataset-sts")) import pysts from pysts.loader import load_sts #s0, s1, labels = load_sts("data/dataset-sts/data/sts/semeval-sts/2015/headlines.test.tsv") s0, s1, labels = load_sts("data/dataset-sts/data/sts/semeval-sts/all\../2012/OnWN.test.tsv") print(f"Sentence A: {s0[0]}") print(f"Sentence B: {s1[0]}") print(f"Label: {labels[0]}") #%% ################# # LOAD STS # ################# files = glob.glob("data/dataset-sts/data/sts/semeval-sts/all/*.test.tsv") #files = glob.glob("dataset-sts/data/sts/semeval-sts/2015/head*.test.tsv")