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Source code for easyfl.datasets.shakespeare.shakespeare

import logging
import os

from easyfl.datasets.shakespeare.utils.gen_all_data import generated_all_data
from easyfl.datasets.shakespeare.utils.preprocess_shakespeare import shakespeare_preprocess
from easyfl.datasets.utils.base_dataset import BaseDataset
from easyfl.datasets.utils.download import download_url, extract_archive, download_from_google_drive

logger = logging.getLogger(__name__)


[docs]class Shakespeare(BaseDataset): """Shakespeare dataset implementation. It gets Shakespeare dataset according to configurations. Attributes: base_folder (str): The base folder path of the datasets folder. raw_data_url (str): The url to get the `by_class` split shakespeare. write_url (str): The url to get the `by_write` split shakespeare. """ def __init__(self, root, fraction, split_type, user, iid_user_fraction=0.1, train_test_split=0.9, minsample=10, num_class=80, num_of_client=100, class_per_client=2, setting_folder=None, seed=-1, **kwargs): super(Shakespeare, self).__init__(root, "shakespeare", fraction, split_type, user, iid_user_fraction, train_test_split, minsample, num_class, num_of_client, class_per_client, setting_folder, seed) self.raw_data_url = "http://www.gutenberg.org/files/100/old/1994-01-100.zip" self.packaged_data_files = { "shakespeare_niid_100_10_1_0.05_0.1_sample_0.9.zip": "https://dl.dropboxusercontent.com/s/5qr9ozziy3yfzss/shakespeare_niid_100_10_1_0.05_0.1_sample_0.9.zip", "shakespeare_iid_100_10_1_0.05_0.1_sample_0.9.zip": "https://dl.dropboxusercontent.com/s/4p7osgjd2pecsi3/shakespeare_iid_100_10_1_0.05_0.1_sample_0.9.zip" } # Google drive ids. # self.packaged_data_files = { # "shakespeare_niid_100_10_1_0.05_0.1_sample_0.9.zip": "1zvmNiUNu7r0h4t0jBhOJ204qyc61NvfJ", # "shakespeare_iid_100_10_1_0.05_0.1_sample_0.9.zip": "1Lb8n1zDtrj2DX_QkjNnL6DH5IrnYFdsR" # } def download_packaged_dataset_and_extract(self, filename): file_path = download_url(self.packaged_data_files[filename], self.base_folder) extract_archive(file_path, remove_finished=True) def download_raw_file_and_extract(self): raw_data_folder = os.path.join(self.base_folder, "raw_data") if not os.path.exists(raw_data_folder): os.makedirs(raw_data_folder) elif os.listdir(raw_data_folder): logger.info("raw file exists") return raw_data_path = download_url(self.raw_data_url, raw_data_folder) extract_archive(raw_data_path, remove_finished=True) os.rename(os.path.join(raw_data_folder, "100.txt"), os.path.join(raw_data_folder, "raw_data.txt")) logger.info("raw file is downloaded") def preprocess(self): filename = os.path.join(self.base_folder, "raw_data", "raw_data.txt") raw_data_folder = os.path.join(self.base_folder, "raw_data") if not os.path.exists(raw_data_folder): os.makedirs(raw_data_folder) shakespeare_preprocess(filename, raw_data_folder) def convert_data_to_json(self): all_data_folder = os.path.join(self.base_folder, "all_data") if not os.path.exists(all_data_folder): os.makedirs(all_data_folder) if not os.listdir(all_data_folder): logger.info("converting data to .json format") generated_all_data(self.base_folder) logger.info("finished converting data to .json format")
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