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""" |
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- Wiki-One https://sites.cs.ucsb.edu/~xwhan/datasets/wiki.tar.gz |
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- NELL-One https://sites.cs.ucsb.edu/~xwhan/datasets/nell.tar.gz |
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wget https://sites.cs.ucsb.edu/~xwhan/datasets/nell.tar.gz |
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tar -xzf nell.tar.gz |
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""" |
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import os |
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import json |
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from itertools import chain |
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data_dir = "NELL" |
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os.makedirs("data", exist_ok=True) |
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|
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if not os.path.exists(data_dir): |
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raise ValueError("Please download the dataset first\n" |
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"wget https://sites.cs.ucsb.edu/~xwhan/datasets/nell.tar.gz\n" |
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"tar -xzf nell.tar.gz") |
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def read_file(_file): |
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with open(f"{data_dir}/{_file}", 'r') as f_reader: |
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tmp = json.load(f_reader) |
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flatten = list(chain(*[[{"relation": r, "head": h, "tail": t} for (h, r, t) in v] for v in tmp.values()])) |
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return flatten |
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def read_vocab(_file): |
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with open(f"{data_dir}/{_file}") as f_reader: |
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ent2ids = json.load(f_reader) |
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return sorted(list(ent2ids.keys())) |
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if __name__ == '__main__': |
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vocab = read_vocab("ent2ids") |
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with open("data/vocab.txt", 'w') as f: |
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f.write("\n".join(vocab)) |
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for i, s in zip(['dev_tasks.json', 'test_tasks.json', 'train_tasks.json'], ['validation', 'test', 'train']): |
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d = read_file(i) |
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with open(f"data/{s}.jsonl", "w") as f: |
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f.write("\n".join([json.dumps(_d) for _d in d])) |
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