dbinfer-amazon: refresh ER schema diagram + dataset card
Browse files- dbinfer-amazon/README.md +3 -3
- dbinfer-amazon/schema.svg +89 -56
dbinfer-amazon/README.md
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@@ -13,7 +13,7 @@ Amazon from the 4DBInfer benchmark: a large product-review dataset linking users
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Open [`schema.svg`](schema.svg) for a zoomable view: each table
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Splits: validation `2016-01-03 00:00:00`, test `2016-01-04 00:00:00` (rows up to a split's timestamp are the inputs for that split).
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@@ -21,9 +21,9 @@ Splits: validation `2016-01-03 00:00:00`, test `2016-01-04 00:00:00` (rows up to
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| task | kind | type | description |
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| `rating` | external | multiclass_classification | Predict the star rating a user gives a product. |
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| `purchase` | external | multiclass_classification | Predict whether a user purchases a product. |
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| `churn` | external | binary_classification | Predict whether a user churns (stops purchasing). |
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## Loading
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Open [`schema.svg`](schema.svg) for a zoomable view: each table shows its columns and types and its row count, with primary keys, foreign keys, time columns, and the foreign-key relationships (crow's-foot notation) between tables.
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Splits: validation `2016-01-03 00:00:00`, test `2016-01-04 00:00:00` (rows up to a split's timestamp are the inputs for that split).
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| task | kind | type | description |
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|---|---|---|---|
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| `churn` | external | binary_classification | Predict whether a user churns (stops purchasing). |
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| `purchase` | external | multiclass_classification | Predict whether a user purchases a product. |
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| `rating` | external | multiclass_classification | Predict the star rating a user gives a product. |
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## Loading
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dbinfer-amazon/schema.svg
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