Generating a Random Dictionary with Fairseq

This function generates a random dictionary with a specified number of tokens and saves it to a file. Dictionaries are commonly used data structures in natural language processing, which map words to unique integer indices.

Technology Stack : Fairseq library (FairseqModel, Dictionary)

Code Type : The type of code

Code Difficulty : Intermediate

                
                    
import random
from fairseq.models import FairseqModel
from fairseq.data import Dictionary

def generate_random_dictionary(n_tokens=10000):
    """
    Generates a random dictionary with a specified number of tokens.
    """
    dictionary = Dictionary()
    for i in range(n_tokens):
        dictionary.add_token(f"token_{i}")
    dictionary.save_to_file("random_dictionary.txt")
    return dictionary

# JSON Explanation