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import os
import numpy as np
from tqdm import tqdm
from math import ceil
def load_vsec_dataset(base_path, corr_file, incorr_file):
# load files
if base_path:
assert os.path.exists(base_path) == True
incorr_data = []
opfile1 = open(os.path.join(base_path, incorr_file), "r", encoding="utf-8")
for line in opfile1:
if line.strip() != "":
incorr_data.append(line.strip())
opfile1.close()
corr_data = []
opfile2 = open(os.path.join(base_path, corr_file), "r", encoding="utf-8")
for line in opfile2:
if line.strip() != "":
corr_data.append(line.strip())
opfile2.close()
assert len(incorr_data) == len(corr_data)
data = []
for x, y in zip(corr_data, incorr_data):
data.append((x, y))
print(f"loaded tuples of (incorr, corr) examples from {base_path}")
return data
def load_dataset(base_path, corr_file, incorr_file, length_file = None):
# load files
if base_path:
assert os.path.exists(base_path) == True
data = []
opfile2 = open(os.path.join(base_path, corr_file), "r", encoding="utf-8")
for line in tqdm(opfile2):
if line.strip() != "":
data.append([line.strip()])
data.append([line.strip()])
opfile2.close()
opfile1 = open(os.path.join(base_path, incorr_file), "r", encoding="utf-8")
for i, line in tqdm(enumerate(opfile1)):
if line.strip() != "":
data[i].append(line.strip())
opfile1.close()
opfile4 = open(os.path.join(base_path, length_file), "r", encoding="utf-8")
for i, line in tqdm(enumerate(opfile4)):
if line.strip() != "":
data[i].append(int(line))
opfile4.close()
print(f"loaded tuples of (incorr, corr, length) examples from {base_path}")
return data
def load_epoch_dataset(base_path, corr_file, incorr_file, length_file, epoch: int, num_epoch: int):
# load files
if base_path:
assert os.path.exists(base_path) == True
assert num_epoch >= 1
assert epoch >= 1 and epoch <= num_epoch
## Count number of data
opfile = open(os.path.join(base_path, length_file), "r", encoding="utf-8")
count = 0
for i, line in tqdm(enumerate(opfile)):
count +=1
opfile.close()
print(f"Number of training datas: {count} examples!")
epochdataset_examples = int(ceil(1 / num_epoch * count))
start_index = epochdataset_examples * (epoch - 1)
end_index = start_index + epochdataset_examples
data = []
opfile2 = open(os.path.join(base_path, corr_file), "r", encoding="utf-8")
traverse_count = 0
for i, line in tqdm(enumerate(opfile2)):
if line.strip() != "":
if traverse_count >= start_index and traverse_count < end_index :
data.append([line.strip()])
traverse_count += 1
elif traverse_count >= end_index:
break
else:
traverse_count += 1
if traverse_count >= start_index and traverse_count < end_index :
data.append([line.strip()])
traverse_count += 1
elif traverse_count >= end_index:
break
else:
traverse_count += 1
opfile2.close()
opfile1 = open(os.path.join(base_path, incorr_file), "r", encoding="utf-8")
traverse_count = 0
for i, line in tqdm(enumerate(opfile1)):
if line.strip() != "":
if traverse_count >= start_index and traverse_count < end_index :
data[i - start_index].append(line.strip())
elif traverse_count >= end_index:
break
traverse_count += 1
opfile1.close()
traverse_count = 0
opfile4 = open(os.path.join(base_path, length_file), "r", encoding="utf-8")
for i, line in tqdm(enumerate(opfile4)):
if line.strip() != "":
if traverse_count >= start_index and traverse_count < end_index :
data[i - start_index].append(int(line))
elif traverse_count >= end_index:
break
traverse_count += 1
opfile4.close()
print(f"loaded tuples of (incorr, corr, length) examples from {base_path}")
return data
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