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"""
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Test script to load and verify the converted JSONL dataset.
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Author: Amir Safari
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Date: 17.10.2025
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This script loads the converted JSONL files (train.jsonl, dev.jsonl, test.jsonl)
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and verifies they can be properly loaded with the HuggingFace datasets library.
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"""
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from datasets import load_dataset, Features, Value, Sequence, ClassLabel
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print("Attempting to load the converted JSONL dataset...")
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NER_TAGS = [
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"O", "B-Taxon", "I-Taxon", "B-Geographical_Location", "I-Geographical_Location",
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"B-Habitat", "I-Habitat", "B-Temporal_Expression", "I-Temporal_Expression",
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"B-Person", "I-Person",
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]
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features = Features({
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'id': Value('string'),
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'tokens': Sequence(Value('string')),
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'ner_tags': Sequence(ClassLabel(names=NER_TAGS))
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})
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try:
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dataset = load_dataset("json", data_files={
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"train": "train.jsonl",
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"validation": "dev.jsonl",
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"test": "test.jsonl"
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}, features=features)
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print("\n✅ Success! The dataset was loaded correctly.")
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print("Here is the loaded dataset info:")
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print(dataset)
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print("\nHere's the first training example:")
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print(dataset["train"][0])
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except Exception as e:
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print(f"\n❌ An error occurred: {e}")
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print("Please make sure the 'train.jsonl', 'dev.jsonl', and 'test.jsonl' files exist.") |