Datasets:
from pathlib import Path | |
import pandas as pd | |
FILE_BASE = "yt_seg" | |
PARTITION_BASE = FILE_BASE + ".{}" | |
def _read_segmentation_json(data_file): | |
data_df = pd.read_json(data_file, orient='records', lines=True) | |
data_df["targets"] = data_df["targets"].str.lstrip("|=") # to enforce string type, in order to avoid truncation of leading zeros | |
return data_df | |
def get_data(): | |
data_file = Path("data", f'{FILE_BASE}.json') | |
return _read_segmentation_json(data_file) | |
def get_partition(partition): | |
data_file = Path("data", "partitions", PARTITION_BASE.format(partition) + '.json') | |
return _read_segmentation_json(data_file) | |
FILE_BASE_TITLE = "yt_seg_titles.{}" | |
def get_title_partition(partition): | |
data_file = Path("data", "partitions", FILE_BASE_TITLE.format(partition) + '.json') | |
data_df = pd.read_json(data_file, orient='records', lines=True) | |
return data_df |