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  1. README.md +31 -0
  2. dataset.json +18 -0
  3. test.parquet +3 -0
  4. tether.json +127 -0
  5. train.parquet +3 -0
  6. validation.parquet +3 -0
README.md ADDED
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+ ---
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+ pretty_name: "Wikidata5M"
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+ license: "cc0-1.0"
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+ tags:
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+ - "knowledge-graph"
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+ - "wikidata"
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+ - "triples"
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+ - "datasets"
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+ - "tabular"
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+ ---
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+
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+ # Wikidata5M
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+
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+ ## Overview
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+ - dataset_id: wikidata5m
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+ - license: cc0-1.0 (Wikidata)
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+ - homepage: https://deepgraphlearning.github.io/project/wikidata5m
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+
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+ ## Standardization
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+ - split_aliases: {"dev": "validation", "val": "validation", "valid": "validation"}
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+ - rename_map: {"head": "subject", "relation": "predicate", "tail": "object"}
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+ - selected_columns: []
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+
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+ ## Exported Artifacts
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+ - train.parquet
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+ - validation.parquet
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+ - test.parquet
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+
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+ ## Citation
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+
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+ Wang et al. (2021), KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation.
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+ "description": "Knowledge graph triples with transductive and inductive splits.",
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+ "homepage": "https://deepgraphlearning.github.io/project/wikidata5m",
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+ "license": "cc0-1.0 (Wikidata)",
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+ "tags": [
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+ "knowledge-graph",
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+ "wikidata",
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+ "triples"
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+ "title": "Wikidata5M"
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