update

UTS_Text.py

@@ -1,6 +1,4 @@
 import os
-import re
-from itertools import chain
 
 import datasets
 
@@ -23,6 +21,7 @@ class UTSTextConfig(datasets.BuilderConfig):
     def __init__(self, **kwargs):
         super(UTSTextConfig, self).__init__(**kwargs)
 
+
 class UTSText(datasets.GeneratorBasedBuilder):
     """UTS Word Tokenize datasets"""
     VERSION = datasets.Version("1.0.0")
@@ -47,7 +46,7 @@ class UTSText(datasets.GeneratorBasedBuilder):
             homepage=None,
             citation=_CITATION
         )
-    
+
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
         subset_folder = self.config.name
@@ -83,4 +82,3 @@ class UTSText(datasets.GeneratorBasedBuilder):
                     }
                     yield guid, item
                     guid += 1
-

generate_dataset.py

@@ -1 +1,56 @@
-from underthesea.transformer.tagged_feature import lower_words
+from os.path import join, dirname
+from underthesea.file_utils import DATASETS_FOLDER
+import random
+
+random.seed(10)
+text_file = join(DATASETS_FOLDER, "VNESES", "VNESEScorpus.txt")
+with open(text_file) as f:
+    lines = f.read().splitlines()
+NUM_LONG_TOKENS = 50
+NUM_SHORT_TOKENS = 20
+NUM_MAX_TOKENS = 200
+
+
+def longline_conditions(line):
+    if len(line) < NUM_LONG_TOKENS or len(line) > NUM_MAX_TOKENS:
+        return False
+    if not (line[0].isupper() and line[-1] == "."):
+        return False
+    return True
+
+
+long_lines = [line for line in lines if longline_conditions(line)]
+print("Short lines", len(long_lines))
+
+
+def shortline_conditions(line):
+    if len(line) < NUM_SHORT_TOKENS:
+        return False
+    if len(line) > NUM_LONG_TOKENS:
+        return False
+    if not line[0].isupper():
+        return False
+    return True
+
+
+short_lines = [line for line in lines if shortline_conditions(line)]
+print("Short lines", len(short_lines))
+
+print("Long lines", len(long_lines))
+print("Short lines", len(short_lines))
+
+pwd = dirname(__file__)
+tmp = join(pwd, "data")
+corpus_file = join(tmp, "UTS_Text_v1.txt")
+
+with open(corpus_file, "w") as f:
+    lines = long_lines + short_lines
+    lines = lines[:1000]
+    content = "\n".join(lines)
+    f.write(content)
+
+with open(join(tmp, "large", "train.txt"), "w") as f:
+    lines = long_lines + short_lines
+    lines = lines[:100000]
+    content = "\n".join(lines)
+    f.write(content)

statistics.py

@@ -1,17 +1,20 @@
 from os.path import dirname, join
 
+
 def count_lines(filepath):
     with open(filepath, encoding="utf-8") as f:
         lines = f.read().splitlines()
         return len(lines)
 
+
 def statistic(subset_folder):
     print("Train\t\t", count_lines(join(subset_folder, "train.txt")))
     print("Validation\t", count_lines(join(subset_folder, "validation.txt")))
     print("Test\t\t", count_lines(join(subset_folder, "test.txt")))
 
+
 pwd = dirname(__file__)
-dataset_folder = join(pwd, "data") 
+dataset_folder = join(pwd, "data")
 
 print("Subset Small")
 statistic(join(dataset_folder, "small"))
@@ -20,4 +23,4 @@ print("Subset Base")
 statistic(join(dataset_folder, "base"))
 
 print("Subset Large")
-statistic(join(dataset_folder, "large"))
+statistic(join(dataset_folder, "large"))

test_dataset.py

@@ -1,6 +1,6 @@
 from datasets import load_dataset
 
 
-dataset = load_dataset("undertheseanlp/UTS_Text", "small")
-
-print(dataset["train"][0])
+if __name__ == '__main__':
+    dataset = load_dataset("undertheseanlp/UTS_Text", "small")
+    print(dataset["train"][0])