"""CC6204-Hackaton-Cub-Dataset: Multimodal"""
import os
import re
import datasets

import pandas as pd

datasets.logging.set_verbosity_info()
logger = datasets.logging.get_logger(__name__)


_REPO = "https://huggingface.co/datasets/alkzar90/CC6204-Hackaton-Cub-Dataset/resolve/main/data"

_URLS = {
   "train_test_split": f"{_REPO}/train_test_split.txt",
   "classes": f"{_REPO}/classes.txt",
   "image_class_labels": f"{_REPO}/image_class_labels.txt",
   "images": f"{_REPO}/images.txt",
   "image_url": f"{_REPO}/images.zip",
   "text_url": f"{_REPO}/text.zip",
}

# Create id-to-label dictionary using the classes file
_ID2LABEL = {}
with open("./data/classes.txt", "r") as f:
  for row in f.read().rsplit("\n"):
    if row != '':
      idx, label = row.split(" ")
      classes[idx] = re.search("[^\d\.\_+].+", label).group(0).replace("_", " ")
      
logger.info(f"_ID2LABEL: {_ID2LABEL}")