Read data

seq.py

@@ -0,0 +1,21 @@
+import pandas as pd
+import numpy as np
+import gensim
+import torch
+import pandas as pd
+import seaborn as sns
+from sklearn.model_selection import train_test_split
+
+
+# Load data
+train = pd.read_csv('train/train.tsv', sep='\t', names=['labels', 'document'])
+Y_train = train['labels'].values
+X_train = train['document'].values
+
+test = pd.read_csv('test-A/in.tsv', sep='\t', names=['document'])
+X_test = test['document'].values
+
+dev = pd.read_csv('dev-0/in.tsv', sep='\t', names=['document'])
+exp = pd.read_csv('dev-0/expected.tsv', sep='\t', names=['labels'])
+X_dev = dev['document'].values
+Y_dev = dev['labels'].values