Datasets:
Download load_example.py from androidli/toolve-colour-atlas: direct link, hf CLI and curl.
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https://huggingface.co/datasets/androidli/toolve-colour-atlas/resolve/main/load_example.py
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hf download hf://datasets/androidli/toolve-colour-atlas/load_example.py
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curl -L -o load_example.py https://huggingface.co/datasets/androidli/toolve-colour-atlas/resolve/main/load_example.py
602 Bytes
| """Minimal usage example for the Toolve Colour Atlas.""" | |
| from datasets import load_dataset | |
| DS = "androidli/toolve-colour-atlas" | |
| names = load_dataset(DS, data_files="data/colour-names-toolve.parquet", split="train") | |
| concepts = load_dataset(DS, data_files="data/concepts-multilingual.parquet", split="train") | |
| objects = load_dataset(DS, data_files="data/cultural-objects.parquet", split="train") | |
| print(len(names), "colour names,", len(concepts), "concepts,", len(objects), "objects") | |
| print(names.filter(lambda r: r["culture"] == "cn")[:5]) | |
| print(concepts.filter(lambda r: r["concept"] == "生气")[:3]) | |