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Download run_test.py from DFKI-SLT/copious: direct link, hf CLI and curl.
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https://huggingface.co/datasets/DFKI-SLT/copious/resolve/main/run_test.py
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hf download hf://datasets/DFKI-SLT/copious/run_test.py
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curl -L -o run_test.py https://huggingface.co/datasets/DFKI-SLT/copious/resolve/main/run_test.py
1.52 kB
| """ | |
| Test script to load and verify the converted JSONL dataset. | |
| Author: Amir Safari | |
| Date: 17.10.2025 | |
| This script loads the converted JSONL files (train.jsonl, dev.jsonl, test.jsonl) | |
| and verifies they can be properly loaded with the HuggingFace datasets library. | |
| """ | |
| from datasets import load_dataset, Features, Value, Sequence, ClassLabel | |
| print("Attempting to load the converted JSONL dataset...") | |
| # Define all possible NER tags for the dataset | |
| NER_TAGS = [ | |
| "O", "B-Taxon", "I-Taxon", "B-Geographical_Location", "I-Geographical_Location", | |
| "B-Habitat", "I-Habitat", "B-Temporal_Expression", "I-Temporal_Expression", | |
| "B-Person", "I-Person", | |
| ] | |
| # Manually define the features object for robustness | |
| features = Features({ | |
| 'id': Value('string'), | |
| 'tokens': Sequence(Value('string')), | |
| 'ner_tags': Sequence(ClassLabel(names=NER_TAGS)) | |
| }) | |
| try: | |
| # Load the JSON files directly using the manually defined features | |
| dataset = load_dataset("json", data_files={ | |
| "train": "train.jsonl", | |
| "validation": "dev.jsonl", | |
| "test": "test.jsonl" | |
| }, features=features) | |
| print("\n✅ Success! The dataset was loaded correctly.") | |
| print("Here is the loaded dataset info:") | |
| print(dataset) | |
| print("\nHere's the first training example:") | |
| print(dataset["train"][0]) | |
| except Exception as e: | |
| print(f"\n❌ An error occurred: {e}") | |
| print("Please make sure the 'train.jsonl', 'dev.jsonl', and 'test.jsonl' files exist.") |