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README.md
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'args': ['e1', 'r1', 't1']}
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```
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<details>
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<summary>π π Dataset statistics: queries_count</summary>
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<br/>
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## π€ Citation
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'args': ['e1', 'r1', 't1']}
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```
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'args' is the argument list of the query function, where name starting with 'e' is entity, and 'r' for relation, 't' for timestamp.
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assert len(query) == len(args)
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In order to decode query ids into text, we should use a vocabulary (i.e. entity2idx, relation2idx and timestamp2idx).
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Therefore, we use the code below to load meta info which contains the vocabulary:
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```python
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>>> dataset = load_dataset("linxy/ICEWS14", "meta")
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>>> meta_info = dataset_meta["train"][0]
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>>> meta_info
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{'dataset': 'ICEWS14',
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'entity_count': 7128,
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'relation_count': 230,
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'timestamp_count': 365,
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'valid_triples_count': 8941,
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'test_triples_count': 8963,
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'train_triples_count': 72826,
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'triple_count': 90730,
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'query_meta': {'query_name': [...], 'queries_count': [...], 'avg_answers_count': [...], ...},
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'entity2idx': {'name': [...], 'id': [...]},
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'relation2idx': {'name': [...], 'id': [...]},
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'timestamp2idx': {'name': [...], 'id': [...]},
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```
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<details>
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<summary>π π Dataset statistics: queries_count</summary>
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<br/>
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## βοΈ Contact
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- Lin Xueyuan: linxy59@mail2.sysu.edu.cn
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## π€ Citation
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