| license: cc-by-sa-4.0 | |
| tags: | |
| - relbench | |
| - relational-deep-learning | |
| configs: | |
| - config_name: databases | |
| data_files: | |
| - split: eval | |
| path: STATS/databases.parquet | |
| - config_name: tasks | |
| data_files: | |
| - split: eval | |
| path: STATS/tasks.parquet | |
| # RelBench v1 databases | |
| The original [RelBench](https://relbench.stanford.edu) v1 relational databases, each in its | |
| own subdirectory in the self-describing manifest layout (plain parquet + `manifest.yaml`): | |
| ``` | |
| <dataset>/ | |
| manifest.yaml # tables, primary keys, foreign-key graph, val/test timestamps | |
| schema.svg # ER diagram | |
| db/*.parquet # relational tables (plain parquet) | |
| tasks/<task>/manifest.yaml # task spec (+ duckdb SQL for `forecast` tasks) | |
| tasks/<task>/{train,val,test}.parquet | |
| ``` | |
| Load with `relbench.load_dataset("relbench/v1/<dataset>")` / | |
| `relbench.load_task("relbench/v1/<dataset>", "<task>")`, or read any subdir's parquet | |
| directly with pandas/duckdb. | |