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import gzip
import json
# Define the dictionary to store the relations
print("--------> Sequential processing setup!")
relations_dict = {}
# Path to the gzipped file
file_path = "conceptnet-assertions-5.7.0.csv.gz"
# Function to parse each line and extract words and relations
def parse_line(line):
parts = line.strip().split("\t")
if len(parts) >= 3:
# Extract the start and end nodes
start_node_uri = parts[2]
end_node_uri = parts[3]
# Extract the language code
start_lang_code = start_node_uri.split("/")[2]
language_code = start_lang_code
# Extract the node names
start_node = start_node_uri.split("/")[3]
end_node = end_node_uri.split("/")[3]
# Filter out end nodes that are http:// links
if end_node_uri.startswith("http://"):
return
# Initialize the language dictionary if it doesn't exist
if language_code not in relations_dict:
relations_dict[language_code] = {}
# Initialize the start node list if it doesn't exist
if start_node not in relations_dict[language_code]:
relations_dict[language_code][start_node] = []
# Add the end node to the start node's list
relations_dict[language_code][start_node].append(end_node)
# Open the gzipped file and parse each line sequentially
with gzip.open(file_path, "rt") as f:
print("--------> File opened!")
for line in f:
parse_line(line)
# Save the relations dictionary to a JSON file
print("--------> About to save the file!")
output_file_path = "cn_relations.json"
with open(output_file_path, "w") as json_file:
json.dump(relations_dict, json_file, ensure_ascii=False)
print("Data saved to", output_file_path) |