Add dbinfer-diginetica

dbinfer-diginetica/README.md

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+---
+tags:
+- relbench
+- relational-deep-learning
+pretty_name: dbinfer-diginetica
+---
+
+# dbinfer-diginetica
+
+Diginetica from the 4DBInfer benchmark: an e-commerce dataset of user browsing and purchasing sessions over a product catalog (CIKM Cup 2016), used for click-through-rate and purchase prediction.
+
+## Schema
+
+![schema diagram](schema.svg)
+
+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.
+
+Splits: validation `1970-01-01 00:00:00`, test `1970-01-02 00:00:00` (rows up to a split's timestamp are the inputs for that split).
+
+## Tasks
+
+| task | kind | type | description |
+|---|---|---|---|
+| `ctr` | external | binary_classification | Predict whether a displayed item is clicked (click-through rate). |
+| `purchase` | external | multiclass_classification | Predict whether a viewed item is purchased. |
+
+## Loading
+
+```python
+import relbench
+ds = relbench.load_dataset("dbinfer-diginetica")
+task = relbench.load_task("dbinfer-diginetica", "<task>")
+```
+
+Manifest layout (`manifest.yaml` + plain parquet); see the RelBench [CONTRIBUTING guide](https://github.com/snap-stanford/relbench/blob/main/CONTRIBUTING.md).

dbinfer-diginetica/db/Click.parquet

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dbinfer-diginetica/db/Product.parquet

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dbinfer-diginetica/db/ProductNameToken.parquet

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dbinfer-diginetica/db/Purchase.parquet

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+size 464218

dbinfer-diginetica/db/Query.parquet

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dbinfer-diginetica/db/QueryResult.parquet

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dbinfer-diginetica/db/QuerySearchstringToken.parquet

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dbinfer-diginetica/db/View.parquet

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dbinfer-diginetica/manifest.yaml

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+name: dbinfer-diginetica
+manifest_version: 1
+description: 'Diginetica from the 4DBInfer benchmark: an e-commerce dataset of user browsing and purchasing sessions over a product catalog (CIKM Cup 2016), used for click-through-rate and purchase prediction.'
+val_timestamp: '1970-01-01 00:00:00'
+test_timestamp: '1970-01-02 00:00:00'
+tables:
+  Click:
+    pkey: __synthetic_pk__
+    time_col: timestamp
+    fkeys:
+      queryId: Query
+      itemId: Product
+  Purchase:
+    pkey: __synthetic_pk__
+    time_col: timestamp
+    fkeys:
+      itemId: Product
+  QuerySearchstringToken:
+    pkey: __synthetic_pk__
+    time_col: null
+    fkeys:
+      queryId: Query
+  QueryResult:
+    pkey: __synthetic_pk__
+    time_col: timestamp
+    fkeys:
+      queryId: Query
+      itemId: Product
+  View:
+    pkey: __synthetic_pk__
+    time_col: timestamp
+    fkeys:
+      itemId: Product
+  ProductNameToken:
+    pkey: __synthetic_pk__
+    time_col: null
+    fkeys:
+      itemId: Product
+  Product:
+    pkey: itemId
+    time_col: null
+    fkeys: {}
+  Query:
+    pkey: queryId
+    time_col: timestamp
+    fkeys: {}

dbinfer-diginetica/tasks/ctr/manifest.yaml

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+name: ctr
+kind: external
+task_type: binary_classification
+description: Predict whether a displayed item is clicked (click-through rate).
+entity_table: Click
+entity_col: queryId
+target_col: clicked
+time_col: timestamp
+timedelta: 1 days 00:00:00
+manifest_version: 1

dbinfer-diginetica/tasks/ctr/test.parquet

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dbinfer-diginetica/tasks/ctr/train.parquet

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dbinfer-diginetica/tasks/ctr/val.parquet

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dbinfer-diginetica/tasks/purchase/manifest.yaml

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+name: purchase
+kind: external
+task_type: multiclass_classification
+description: Predict whether a viewed item is purchased.
+entity_table: Purchase
+entity_col: sessionId
+target_col: itemId
+time_col: timestamp
+timedelta: 1 days 00:00:00
+manifest_version: 1

dbinfer-diginetica/tasks/purchase/test.parquet

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dbinfer-diginetica/tasks/purchase/train.parquet

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dbinfer-diginetica/tasks/purchase/val.parquet

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