Datasets:
| pretty_name: "Wikidata5M" | |
| license: "cc0-1.0" | |
| tags: | |
| - "knowledge-graph" | |
| - "wikidata" | |
| - "triples" | |
| - "datasets" | |
| - "tabular" | |
| # Wikidata5M | |
| ## Overview | |
| - dataset_id: wikidata5m | |
| - license: cc0-1.0 (Wikidata) | |
| - homepage: https://deepgraphlearning.github.io/project/wikidata5m | |
| ## Standardization | |
| - split_aliases: {"dev": "validation", "val": "validation", "valid": "validation"} | |
| - rename_map: {"head": "subject", "relation": "predicate", "tail": "object"} | |
| - selected_columns: [] | |
| ## Exported Artifacts | |
| - train.parquet | |
| - validation.parquet | |
| - test.parquet | |
| ## Citation | |
| Wang et al. (2021), KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation. | |