Upload explore_dataset.py

explore_dataset.py

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+# -*- coding: utf-8 -*-
+
+"""
+Random Line Fetcher for Large Datasets
+
+This script allows users to randomly fetch and display lines from a large dataset.
+An index file is created to keep track of the positions of each line in the dataset, 
+allowing for efficient random line retrieval.
+
+Author     : Guillaume Eckendoerffer
+Date       : 06-07-23
+Repository : https://github.com/Eckendoerffer/TorchTrainerFlow/
+"""
+
+import os
+import random
+import json
+
+# Path configurations
+path = os.path.dirname(os.path.abspath(__file__))
+path_dataset = os.path.join(path, "train.txt")
+path_index = os.path.join(path, "dataset_news_index.txt")  # Index file
+
+# Flag to determine if an offset of one byte should be applied
+shift_one = True
+
+def build_index():
+    """
+    Constructs an index for the dataset where each line's starting position is stored.
+    """
+    index = []
+    with open(path_dataset, 'r', encoding='utf-8') as f:
+        offset = 0
+        for line in f:
+            index.append(offset)
+            offset += len(line.encode('utf-8'))  
+
+    with open(path_index, 'w', encoding="utf8") as f:
+        json.dump(index, f)
+
+def get_line(file_path, line_number, index, i):
+    """
+    Fetches a specific line from the dataset using the provided index.
+    """
+    with open(file_path, 'r', encoding='utf-8') as f:
+        if shift_one:
+            f.seek(index[line_number] + line_number)
+        else:
+            f.seek(index[line_number])
+        text = f.readline()
+
+        show = f"{i}) {text}\n"       
+        show += ' ' + '-'*220 + '\n' 
+        return show
+
+# Build index if it doesn't exist
+if not os.path.exists(path_index):
+    build_index()
+
+# Load the index file
+with open(path_index, 'r') as file:
+    index = json.load(file)
+
+# Display 10 random lines from the dataset
+for i in range(10):
+    print(get_line(path_dataset, random.randint(0, len(index)-1), index, i+1)) 
+
+
+
+
+
+
+
+
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+