Datasets:

DGurgurov
/

conceptnet_all

License:

Upload 6 files

1d26da5 verified over 2 years ago

1.78 kB

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)

	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)