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rishabh-ranjan commited on
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Add ctu-restbase

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ctu-restbase/README.md ADDED
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+ ---
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+ tags:
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+ - relbench
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+ - relational-deep-learning
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+ pretty_name: ctu-restbase
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+ ---
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+
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+ # ctu-restbase
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+
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+ A database of restaurants in the San Francisco Bay Area. Sourced from the CTU Prague Relational Learning Repository (https://relational.fel.cvut.cz/).
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+
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+ ## Schema
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+
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+ ![schema diagram](schema.svg)
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+
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+ Open [`schema.svg`](schema.svg) for a zoomable view: each table lists all of its columns and types, with primary keys, foreign keys, and the foreign-key edges between tables.
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+
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+ Splits: validation `2262-04-11`, test `2262-04-11` (rows up to a split's timestamp are the inputs for that split).
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+
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+ ## Tasks
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+
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+ | task | kind | type | description |
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+ |---|---|---|---|
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+ | `restbase-original` | external | regression | Predict the `review` of each `generalinfo`. (random split) |
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+
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+ ## Loading
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+
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+ ```python
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+ import relbench
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+ ds = relbench.load_dataset("ctu-restbase")
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+ task = relbench.load_task("ctu-restbase", "<task>")
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+ ```
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+
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+ Manifest layout (`manifest.yaml` + plain parquet); see the RelBench [CONTRIBUTING guide](https://github.com/snap-stanford/relbench/blob/main/CONTRIBUTING.md).
ctu-restbase/db/generalinfo.parquet ADDED
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ctu-restbase/db/geographic.parquet ADDED
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ctu-restbase/db/location.parquet ADDED
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ctu-restbase/manifest.yaml ADDED
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+ name: ctu-restbase
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+ manifest_version: 1
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+ description: A database of restaurants in the San Francisco Bay Area. Sourced from the CTU Prague Relational Learning Repository (https://relational.fel.cvut.cz/).
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+ val_timestamp: '2262-04-11'
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+ test_timestamp: '2262-04-11'
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+ tables:
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+ generalinfo:
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+ pkey: __PK__
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+ time_col: null
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+ fkeys:
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+ FK_geographic_city: geographic
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+ location:
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+ pkey: __PK__
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+ time_col: null
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+ fkeys:
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+ FK_geographic_city: geographic
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+ FK_generalinfo_id_restaurant: generalinfo
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+ geographic:
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+ pkey: __PK__
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+ time_col: null
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+ fkeys: {}
ctu-restbase/schema.svg ADDED
ctu-restbase/tasks/restbase-original/manifest.yaml ADDED
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+ name: restbase-original
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+ kind: external
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+ task_type: regression
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+ description: Predict the `review` of each `generalinfo`. (random split)
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+ entity_table: generalinfo
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+ entity_col: __PK__
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+ target_col: review
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+ timedelta: 0 days
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+ manifest_version: 1
ctu-restbase/tasks/restbase-original/test.parquet ADDED
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ctu-restbase/tasks/restbase-original/train.parquet ADDED
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ctu-restbase/tasks/restbase-original/val.parquet ADDED
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