Datasets:
Create CC6204-Hackaton-Cub-Dataset.py
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CC6204-Hackaton-Cub-Dataset.py
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"""CC6204-Hackaton-Cub-Dataset: Multimodal"""
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import os
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import re
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import datasets
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import pandas as pd
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datasets.logging.set_verbosity_info()
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logger = datasets.logging.get_logger(__name__)
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_REPO = "https://huggingface.co/datasets/alkzar90/CC6204-Hackaton-Cub-Dataset/resolve/main/data/"
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_URLS = {
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"train_test_split": f"{_REPO}/train_test_split.txt",
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"classes": f"{_REPO}/classes.txt",
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"image_class_labels": f"{_REPO}/image_class_labels.txt",
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"images": f"{_REPO}/images.txt",
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"image_url": f"{_REPO}/images.zip",
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"text_url": f"{_REPO}/text.zip",
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}
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# Create id-to-label dictionary using the classes file
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_ID2LABEL = {}
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with open(_URLS["classes", "r") as f:
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for row in f.read().rsplit("\n"):
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if row != '':
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idx, label = row.split(" ")
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classes[idx] = re.search("[^\d\.\_+].+", label).group(0).replace("_", " ")
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logger.info(f"_ID2LABEL: {_ID2LABEL}")
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