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README.md
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task_categories:
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- image-classification
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- zero-shot-image-classification
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task_categories:
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- image-classification
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- zero-shot-image-classification
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---
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# Extended label set of UC Merced for Hierarchical Multi-Label Classification
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This dataset contains an extended version of the original label set of BigEarthNet-43 for Hierarchical Multi-Label Classification.
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## Dataset creation
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It was created based on the CORINE Land Cover database of the year 2018 (CLC 2018), which provides detailed information about the land cover classes at multiple levels of the hierarchy
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## Loading the Dataset
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To load the dataset into your project, you can use the following code snippet:
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```python
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import pandas as pd
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from datasets import load_dataset
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# Load the dataset from Hugging Face
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dataset = load_dataset(
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"marjandl/UCM-HMLC",
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split='train'
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)
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data = [line.split('\t')[1:] for line in dataset['text']]
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df = pd.DataFrame(data)
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# Set the first row as the header and drop it from the DataFrame
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df.columns = df.iloc[0]
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df = df.drop(0).reset_index(drop=True)
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