Add rel-amazon (manifest layout)

rel-amazon/db/customer.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b45076392619a3e68c8fe32b0b1b71f11d20b4ba9bf496b0226937fe962a333c
+size 27098530

rel-amazon/db/product.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5420ce6202d2e3488985b40d83e11b14992cb20462a8e2deadc3a89c0aa95141
+size 206232478

rel-amazon/db/review.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:946581ef75d8b363e4cb555ce1360451c54a93f1aa7ba55f383d7fb666e1dbf6
+size 6991118636

rel-amazon/manifest.yaml

@@ -0,0 +1,19 @@
+name: rel-amazon
+manifest_version: 1
+val_timestamp: '2015-10-01'
+test_timestamp: '2016-01-01'
+tables:
+  review:
+    pkey: null
+    time_col: review_time
+    fkeys:
+      customer_id: customer
+      product_id: product
+  product:
+    pkey: product_id
+    time_col: null
+    fkeys: {}
+  customer:
+    pkey: customer_id
+    time_col: null
+    fkeys: {}

rel-amazon/tasks/item-churn/manifest.yaml

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+name: item-churn
+kind: forecast
+task_type: binary_classification
+entity_table: product
+entity_col: product_id
+target_col: churn
+time_col: timestamp
+timedelta: 91 days
+sql: "\n            SELECT\n                timestamp,\n                product_id,\n                CAST(\n                    NOT EXISTS (\n                        SELECT 1\n                        FROM review\n                        WHERE\n                            review.product_id = product.product_id AND\n                            review_time > timestamp AND\n                            review_time <= timestamp + INTERVAL '{timedelta}'\n                    ) AS INTEGER\n                ) AS churn\n            FROM\n                timestamps,\n                product,\n            WHERE\n                EXISTS (\n                    SELECT 1\n                    FROM review\n                    WHERE\n                        review.product_id = product.product_id AND\n                        review_time > timestamp - INTERVAL '{timedelta}' AND\n                        review_time <= timestamp\n                )\n            "
+manifest_version: 1

rel-amazon/tasks/item-churn/test.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:11895eaad4f39d081622498f4222b166e681f8b53d5b5b5c628cc392f4f02fa1
+size 973470

rel-amazon/tasks/item-churn/train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:08b8e7ff6257c8ff702733a71e66e24766ededa0bd7de7a8e35fb1900fd190ee
+size 11322720

rel-amazon/tasks/item-churn/val.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:32fbb3daa4130303a095a1add5c0e8eeff63e835eece5df800b79131d4ca8e04
+size 1018021

rel-amazon/tasks/item-ltv/manifest.yaml

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+name: item-ltv
+kind: forecast
+task_type: regression
+entity_table: product
+entity_col: product_id
+target_col: ltv
+time_col: timestamp
+timedelta: 91 days
+sql: "\n            SELECT\n                timestamp,\n                product.product_id,\n                COALESCE(SUM(price), 0) AS ltv,\n            FROM\n                timestamps,\n                product,\n                review\n            WHERE\n                review.product_id = product.product_id AND\n                review_time > timestamp AND\n                review_time <= timestamp + INTERVAL '{timedelta}'\n            GROUP BY\n                timestamp,\n                product.product_id\n            "
+manifest_version: 1

rel-amazon/tasks/item-ltv/test.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:84604c64f4a2bb3d54600cc727296c8d887ada9a3c519e1972db534103823588
+size 1511101

rel-amazon/tasks/item-ltv/train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fcc251e04020bdb8be41f54ec4b2531a1f78e90dec76a5a7f5ea3ff2815ebf9d
+size 19495592

rel-amazon/tasks/item-ltv/val.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fe5e87f18f92268fcc329e254a147a604c44cbc2d890c2815dde00cd55c7ef0b
+size 1435830

rel-amazon/tasks/review-rating/manifest.yaml

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+name: review-rating
+kind: autocomplete
+task_type: regression
+entity_table: review
+target_col: rating
+remove_columns:
+- - review
+  - review_text
+- - review
+  - summary
+manifest_version: 1

rel-amazon/tasks/review-rating/test.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:29d38a514994b5d0c5a5ffaa8e8fd9fcc33575097ae6ddeba9a42c3d6550cd72
+size 47919148

rel-amazon/tasks/review-rating/train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:24e2eda77e4fe787c200541624a2267b3e86ac2b51aa8efa063efb989d8441ac
+size 72389765

rel-amazon/tasks/review-rating/val.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:448a8f380e7485a642621c07ebc312e0b4031319bb97ccf02c51347b80527279
+size 4501815

rel-amazon/tasks/user-churn/manifest.yaml

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+name: user-churn
+kind: forecast
+task_type: binary_classification
+entity_table: customer
+entity_col: customer_id
+target_col: churn
+time_col: timestamp
+timedelta: 91 days
+sql: "\n            SELECT\n                timestamp,\n                customer_id,\n                CAST(\n                    NOT EXISTS (\n                        SELECT 1\n                        FROM review\n                        WHERE\n                            review.customer_id = customer.customer_id AND\n                            review_time > timestamp AND\n                            review_time <= timestamp + INTERVAL '{timedelta}'\n                    ) AS INTEGER\n                ) AS churn\n            FROM\n                timestamps,\n                customer,\n            WHERE\n                EXISTS (\n                    SELECT 1\n                    FROM review\n                    WHERE\n                        review.customer_id = customer.customer_id AND\n                        review_time > timestamp - INTERVAL '{timedelta}' AND\n                        review_time <= timestamp\n                )\n            "
+manifest_version: 1

rel-amazon/tasks/user-churn/test.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0053ead49a63b6b778e76b609fcba5a758f73f03c4ab1811de10cc1b564bfe25
+size 1744744

rel-amazon/tasks/user-churn/train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ce9d7d40d05e093abb51482a6d65a7d6d2fa98f4cac8794d6c29e99f36c15f01
+size 21236243

rel-amazon/tasks/user-churn/val.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d95f768f2a2772fcb9bd0496c83b62f3ebc40f3b415f3ee0f2797f38341f2d5b
+size 1984737

rel-amazon/tasks/user-item-purchase/manifest.yaml

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+name: user-item-purchase
+kind: forecast
+task_type: link_prediction
+target_col: product_id
+time_col: timestamp
+src_entity_table: customer
+src_entity_col: customer_id
+dst_entity_table: product
+dst_entity_col: product_id
+eval_k: 10
+timedelta: 91 days
+sql: "\n            SELECT\n                t.timestamp,\n                review.customer_id,\n                LIST(DISTINCT review.product_id) AS product_id\n            FROM\n                timestamps t\n            LEFT JOIN\n                review\n            ON\n                review.review_time > t.timestamp AND\n                review.review_time <= t.timestamp + INTERVAL '{timedelta}'\n            WHERE\n                review.customer_id is not null and review.product_id is not null\n            GROUP BY\n                t.timestamp,\n                review.customer_id\n            "
+manifest_version: 1

rel-amazon/tasks/user-item-purchase/test.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4aaa5dd34f2e6db3577fa8f789aa07e4b97b68a69449dcc9991884588bb7a526
+size 5927050

rel-amazon/tasks/user-item-purchase/train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c2f6b5cb8ba2bb501009970bcec19cf2d60170c832403c4ed592b6dbd378fde1
+size 84599940

rel-amazon/tasks/user-item-purchase/val.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:69345b05cddd3d691637e7fc0faf8d7c80f1683e102c8b77fccbd9f3b2d8039a
+size 5174252

rel-amazon/tasks/user-item-rate/manifest.yaml

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+name: user-item-rate
+kind: forecast
+task_type: link_prediction
+target_col: product_id
+time_col: timestamp
+src_entity_table: customer
+src_entity_col: customer_id
+dst_entity_table: product
+dst_entity_col: product_id
+eval_k: 10
+timedelta: 91 days
+sql: "\n                SELECT\n                    t.timestamp,\n                    review.customer_id,\n                    LIST(DISTINCT review.product_id) AS product_id\n                FROM\n                    timestamps t\n                LEFT JOIN\n                    review\n                ON\n                    review.review_time > t.timestamp AND\n                    review.review_time <= t.timestamp + INTERVAL '{timedelta}'\n                WHERE\n                    review.customer_id IS NOT NULL\n                    AND review.product_id IS NOT NULL\n                    AND review.rating = 5.0\n                GROUP BY\n                    t.timestamp,\n                    review.customer_id\n            "
+manifest_version: 1

rel-amazon/tasks/user-item-rate/test.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a35b4994fc0237994df1377268959003c654a0ab31e865bac3e659442c37f9fd
+size 3952414

rel-amazon/tasks/user-item-rate/train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1002293e49089a9c722175bc423047ffafc65c4b4e752810ba864a567a48f92a
+size 54689120

rel-amazon/tasks/user-item-rate/val.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:35fa8cfa8e0c2f0be7374d37d552ffbee7e20d08a6e2787b9d1c1be62ab76fd1
+size 3421455

rel-amazon/tasks/user-item-review/manifest.yaml

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+name: user-item-review
+kind: forecast
+task_type: link_prediction
+target_col: product_id
+time_col: timestamp
+src_entity_table: customer
+src_entity_col: customer_id
+dst_entity_table: product
+dst_entity_col: product_id
+eval_k: 10
+timedelta: 91 days
+sql: "\n                SELECT\n                    t.timestamp,\n                    review.customer_id,\n                    LIST(DISTINCT review.product_id) AS product_id\n                FROM\n                    timestamps t\n                LEFT JOIN\n                    review\n                ON\n                    review.review_time > t.timestamp AND\n                    review.review_time <= t.timestamp + INTERVAL '{timedelta}'\n                WHERE\n                    review.customer_id IS NOT NULL\n                    AND review.product_id IS NOT NULL\n                    AND (LENGTH(review.review_text) > 300 AND review.review_text IS NOT NULL)\n                GROUP BY\n                    t.timestamp,\n                    review.customer_id\n            "
+manifest_version: 1

rel-amazon/tasks/user-item-review/test.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b954d4fc6697d22c6634985814a052e18726a5edb36d875e819af013527dc27c
+size 2007275

rel-amazon/tasks/user-item-review/train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b7ab343acce1296a052eb4f3c4f2044aa35177187752a35c9203fc84214b48d0
+size 37799618

rel-amazon/tasks/user-item-review/val.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4987377128440b831f94d1bae7cf38831e24617f1d4cb0ce272b0e2d418f5703
+size 1821765

rel-amazon/tasks/user-ltv/manifest.yaml

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+name: user-ltv
+kind: forecast
+task_type: regression
+entity_table: customer
+entity_col: customer_id
+target_col: ltv
+time_col: timestamp
+timedelta: 91 days
+sql: "\n            SELECT\n                timestamp,\n                customer_id,\n                ltv,\n            FROM\n                timestamps,\n                customer,\n                (\n                    SELECT\n                        COALESCE(SUM(price), 0) as ltv,\n                    FROM\n                        review,\n                        product\n                    WHERE\n                        review.customer_id = customer.customer_id AND\n                        review.product_id = product.product_id AND\n                        review_time > timestamp AND\n                        review_time <= timestamp + INTERVAL '{timedelta}'\n                )\n            WHERE\n                EXISTS (\n                    SELECT 1\n                    FROM review\n                    WHERE\n                        review.customer_id = customer.customer_id AND\n                        review_time > timestamp - INTERVAL '{timedelta}' AND\n                        review_time <= timestamp\n                )\n            "
+manifest_version: 1

rel-amazon/tasks/user-ltv/test.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:15c9c0c15a2a375e0f5b36f1b87ae2d2c094ff41fa3737be8e747bfd273f2647
+size 2300769

rel-amazon/tasks/user-ltv/train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8d35ebe157ca8469ceca9e61becd90ccb42d813bed070b3b99edc00ded18d2c1
+size 27651924

rel-amazon/tasks/user-ltv/val.parquet

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+oid sha256:f6a3a296be2e78b266d8b027b99a5c8513820b5972e5d4ef61fa843e8f97128f
+size 2580313