Add files using upload-large-folder tool

join-amazon-arts-crafts/column_index.json

@@ -1 +1 @@
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join-amazon-arts-crafts/meta.json

@@ -1,499 +1,499 @@
 {
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-  "offsets": "offsets.rkyv",
-  "p2f_adj": "p2f_adj.rkyv",
-  "table_info": "table_info.json",
-  "text": "text.json"
- },
- "format_version": 1,
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+      "kind": "forecast",
+      "name": "reviewer-long-review",
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+    },
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+      "task_type": "regression",
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+    },
+    {
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+    }
   }
- }
-}
+}

join-amazon-arts-crafts/table_info.json

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join-amazon-digital-music/column_index.json

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join-amazon-digital-music/meta.json

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+      ],
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+    },
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+      "time_col": "timestamp"
+    },
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+      "time_col": "timestamp"
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+      "time_col": null
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+    {
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+    }
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+    }
   }
- }
-}
+}

join-amazon-digital-music/table_info.json

@@ -1 +1 @@
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join-amazon-electronics/column_index.json

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join-amazon-electronics/meta.json

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+        "train"
+      ],
+      "target_col": "predict_reviewer_churn",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
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+      "kind": "forecast",
+      "name": "reviewer-churn-h4",
+      "splits": [
+        "train"
+      ],
+      "target_col": "churned_h4",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
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+        "train"
+      ],
+      "target_col": "churned_h5",
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+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-churn-h6",
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+        "train"
+      ],
+      "target_col": "churned_h6",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-churn-h8",
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+        "train"
+      ],
+      "target_col": "churned_h8",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-distinct-products",
+      "splits": [
+        "train"
+      ],
+      "target_col": "distinct_products",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-harsh-critic",
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+        "train"
+      ],
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+      "task_type": "binary_classification",
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+    },
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+      "entity_table": "reviewers",
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+      "name": "reviewer-long-review-writer",
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+      "kind": "forecast",
+      "name": "reviewer-max-rating",
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+        "train"
+      ],
+      "target_col": "reviewer_max_rating",
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+      ],
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+    },
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+      "name": "reviewer-mean-rating",
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+        "train"
+      ],
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+      "time_col": "timestamp"
+    },
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+      "time_col": "timestamp"
+    },
+    {
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+      "kind": "forecast",
+      "name": "reviewer-rating-sum",
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+      ],
+      "target_col": "rating_sum",
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+      "time_col": "timestamp"
+    },
+    {
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+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
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+      "name": "reviewer-return",
+      "splits": [
+        "train"
+      ],
+      "target_col": "reviewer_returns",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
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+    },
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+    },
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+      "time_col": "timestamp"
+    },
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+        "train"
+      ],
+      "target_col": "reviewer_3w",
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+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-review-count",
+      "splits": [
+        "train"
+      ],
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+      "time_col": "timestamp"
+    },
+    {
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+      "splits": [
+        "train"
+      ],
+      "target_col": "days_to_next_h4",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
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+      ],
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+      "time_col": "timestamp"
+    },
+    {
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+      "name": "reviewer-time-until-next-h6",
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+      ],
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+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-time-until-next-h8",
+      "splits": [
+        "train"
+      ],
+      "target_col": "days_to_next_h8",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-verified-only",
+      "splits": [
+        "train"
+      ],
+      "target_col": "all_verified_reviewer",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-verified-ratio",
+      "splits": [
+        "train"
+      ],
+      "target_col": "pred_verified",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-will-review-product",
+      "splits": [
+        "train"
+      ],
+      "target_col": "reviews_next",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviews",
+      "kind": "autocomplete",
+      "name": "reviews-rating",
+      "splits": [],
+      "target_col": "rating",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "reviews",
+      "kind": "autocomplete",
+      "name": "reviews-review_len",
+      "splits": [],
+      "target_col": "review_len",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "reviews",
+      "kind": "autocomplete",
+      "name": "reviews-verified",
+      "splits": [],
+      "target_col": "verified",
+      "task_type": "binary_classification",
+      "time_col": null
+    }
+  ],
+  "text_embeddings": {
+    "all-MiniLM-L12-v2": {
+      "file": "text_emb_all-MiniLM-L12-v2.bin",
+      "d_text": 384
+    }
   }
- }
-}
+}

join-amazon-electronics/table_info.json

@@ -1 +1 @@
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join-amazon-movies/column_index.json

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join-amazon-movies/meta.json

@@ -1,664 +1,664 @@
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+      "name": "reviewer-max-rating",
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+    },
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+      "name": "reviewer-return",
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+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-top-activity",
+      "splits": [
+        "train"
+      ],
+      "target_col": "top_activity",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-verified-only",
+      "splits": [
+        "train"
+      ],
+      "target_col": "all_verified_reviewer",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-verified-ratio",
+      "splits": [
+        "train"
+      ],
+      "target_col": "pred_verified",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-will-review-movie",
+      "splits": [
+        "train"
+      ],
+      "target_col": "reviews_next",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviews",
+      "kind": "autocomplete",
+      "name": "reviews-rating",
+      "splits": [],
+      "target_col": "rating",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "reviews",
+      "kind": "autocomplete",
+      "name": "reviews-review_len",
+      "splits": [],
+      "target_col": "review_len",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "reviews",
+      "kind": "autocomplete",
+      "name": "reviews-verified",
+      "splits": [],
+      "target_col": "verified",
+      "task_type": "binary_classification",
+      "time_col": null
+    }
+  ],
+  "text_embeddings": {
+    "all-MiniLM-L12-v2": {
+      "file": "text_emb_all-MiniLM-L12-v2.bin",
+      "d_text": 384
+    }
   }
- }
-}
+}

join-amazon-movies/table_info.json

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join-amazon-office/column_index.json

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join-amazon-office/meta.json

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+      "name": "new-product-cold-long-horizon",
+      "splits": [
+        "train"
+      ],
+      "target_col": "cold_long_repeat",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "new-product-cold-medium",
+      "splits": [
+        "train"
+      ],
+      "target_col": "cold_medium_repeat",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "new-product-cold-repeat",
+      "splits": [
+        "train"
+      ],
+      "target_col": "cold_repeat",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "new-product-cold-short",
+      "splits": [
+        "train"
+      ],
+      "target_col": "cold_short_repeat",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "new-reviewer-cold-extended",
+      "splits": [
+        "train"
+      ],
+      "target_col": "cold_extended_repeat",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "new-reviewer-cold-long-horizon",
+      "splits": [
+        "train"
+      ],
+      "target_col": "cold_long_repeat",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "new-reviewer-cold-medium",
+      "splits": [
+        "train"
+      ],
+      "target_col": "cold_medium_repeat",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "new-reviewer-cold-repeat",
+      "splits": [
+        "train"
+      ],
+      "target_col": "cold_repeat",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "new-reviewer-cold-short",
+      "splits": [
+        "train"
+      ],
+      "target_col": "cold_short_repeat",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-detailed-reviews",
+      "splits": [
+        "train"
+      ],
+      "target_col": "detailed_review_flag",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-distinct-raters",
+      "splits": [
+        "train"
+      ],
+      "target_col": "distinct_raters_next",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-distinct-reviewers",
+      "splits": [
+        "train"
+      ],
+      "target_col": "n_distinct_reviewers",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-high-rating",
+      "splits": [
+        "train"
+      ],
+      "target_col": "high_rating_flag",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-multi-verified-rare",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_multi_verified",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-one-star-rare",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_one_star",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-premium-review-rare",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_premium_review",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-rating-trend",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_trend_up",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-rating-trend-reversal",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_reversal",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-rating-volatility",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_volatility",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-review-count",
+      "splits": [
+        "train"
+      ],
+      "target_col": "review_count_next",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-review-len-change",
+      "splits": [
+        "train"
+      ],
+      "target_col": "review_len_change",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-review-len-concentration",
+      "splits": [
+        "train"
+      ],
+      "target_col": "review_len_concentration",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-review-share",
+      "splits": [
+        "train"
+      ],
+      "target_col": "review_share",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-review-streak",
+      "splits": [
+        "train"
+      ],
+      "target_col": "max_streak",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-time-until-next-review",
+      "splits": [
+        "train"
+      ],
+      "target_col": "days_to_next",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-top-rated",
+      "splits": [
+        "train"
+      ],
+      "target_col": "is_top_rated",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-verified-burst-rare",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_verified_burst",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-verified-rare-next",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_verified_rare",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "autocomplete",
+      "name": "products-avg_rating",
+      "splits": [],
+      "target_col": "avg_rating",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "products",
+      "kind": "autocomplete",
+      "name": "products-n_reviews",
+      "splits": [],
+      "target_col": "n_reviews",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "products",
+      "kind": "autocomplete",
+      "name": "products-price",
+      "splits": [],
+      "target_col": "price",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-active-next",
+      "splits": [
+        "train"
+      ],
+      "target_col": "is_active_next",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-avg-rating",
+      "splits": [
+        "train"
+      ],
+      "target_col": "avg_rating_next",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-churn",
+      "splits": [
+        "train"
+      ],
+      "target_col": "is_churned",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-distinct-products",
+      "splits": [
+        "train"
+      ],
+      "target_col": "n_distinct_products",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-long-review-rare",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_long_review",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-multi-one-star",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_multi_one_star",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-multi-verified-rare",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_multi_verified",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-one-star-rare",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_one_star",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-rating-per-len",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_per_len",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-return",
+      "splits": [
+        "train"
+      ],
+      "target_col": "will_return",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-review-streak",
+      "splits": [
+        "train"
+      ],
+      "target_col": "max_streak",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-time-until-next-review",
+      "splits": [
+        "train"
+      ],
+      "target_col": "days_to_next",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-verified-rare-next",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_verified_rare",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviews",
+      "kind": "autocomplete",
+      "name": "reviews-rating",
+      "splits": [],
+      "target_col": "rating",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "reviews",
+      "kind": "autocomplete",
+      "name": "reviews-review_len",
+      "splits": [],
+      "target_col": "review_len",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "reviews",
+      "kind": "autocomplete",
+      "name": "reviews-verified",
+      "splits": [],
+      "target_col": "verified",
+      "task_type": "binary_classification",
+      "time_col": null
+    }
+  ],
+  "text_embeddings": {
+    "all-MiniLM-L12-v2": {
+      "file": "text_emb_all-MiniLM-L12-v2.bin",
+      "d_text": 384
+    }
   }
- }
-}
+}

join-amazon-office/table_info.json

@@ -1 +1 @@
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+{"new-product-cold-repeat:Train":{"node_idx_offset":658064,"num_nodes":14683},"new-product-cold-short:Train":{"node_idx_offset":672747,"num_nodes":14683},"new-reviewer-cold-extended:Train":{"node_idx_offset":687430,"num_nodes":79998},"reviewer-active-next:Train":{"node_idx_offset":3827866,"num_nodes":500136},"new-product-cold-medium:Train":{"node_idx_offset":643381,"num_nodes":14683},"product-review-streak:Train":{"node_idx_offset":2910625,"num_nodes":236707},"reviews:Db":{"node_idx_offset":114015,"num_nodes":500000},"product-review-len-change:Train":{"node_idx_offset":2629892,"num_nodes":73597},"product-detailed-reviews:Train":{"node_idx_offset":1087420,"num_nodes":103568},"product-premium-review-rare:Train":{"node_idx_offset":1975096,"num_nodes":236702},"product-distinct-reviewers:Train":{"node_idx_offset":1294556,"num_nodes":103568},"reviewer-review-streak:Train":{"node_idx_offset":7304959,"num_nodes":499994},"product-review-len-concentration:Train":{"node_idx_offset":2703489,"num_nodes":103568},"new-product-cold-long-horizon:Train":{"node_idx_offset":628698,"num_nodes":14683},"product-multi-verified-rare:Train":{"node_idx_offset":1501692,"num_nodes":236702},"new-reviewer-cold-long-horizon:Train":{"node_idx_offset":767428,"num_nodes":79998},"new-product-cold-extended:Train":{"node_idx_offset":614015,"num_nodes":14683},"reviewer-churn:Train":{"node_idx_offset":4385539,"num_nodes":499994},"products:Db":{"node_idx_offset":0,"num_nodes":14958},"new-reviewer-cold-short:Train":{"node_idx_offset":1007422,"num_nodes":79998},"new-reviewer-cold-repeat:Train":{"node_idx_offset":927424,"num_nodes":79998},"product-rating-volatility:Train":{"node_idx_offset":2335603,"num_nodes":57582},"reviewer-multi-verified-rare:Train":{"node_idx_offset":5943336,"num_nodes":500133},"reviewer-time-until-next-review:Train":{"node_idx_offset":7804953,"num_nodes":57537},"product-verified-rare-next:Train":{"node_idx_offset":3591164,"num_nodes":236702},"product-rating-trend-reversal:Train":{"node_idx_offset":2285395,"num_nodes":50208},"product-high-rating:Train":{"node_idx_offset":1398124,"num_nodes":103568},"product-distinct-raters:Train":{"node_idx_offset":1190988,"num_nodes":103568},"reviewer-return:Train":{"node_idx_offset":7001137,"num_nodes":303822},"product-verified-burst-rare:Train":{"node_idx_offset":3354462,"num_nodes":236702},"product-rating-trend:Train":{"node_idx_offset":2211798,"num_nodes":73597},"reviewer-verified-rare-next:Train":{"node_idx_offset":7862490,"num_nodes":500133},"reviewer-multi-one-star:Train":{"node_idx_offset":5443203,"num_nodes":500133},"reviewer-avg-rating:Train":{"node_idx_offset":4328002,"num_nodes":57537},"new-reviewer-cold-medium:Train":{"node_idx_offset":847426,"num_nodes":79998},"reviewers:Db":{"node_idx_offset":14958,"num_nodes":99057},"product-one-star-rare:Train":{"node_idx_offset":1738394,"num_nodes":236702},"reviewer-distinct-products:Train":{"node_idx_offset":4885533,"num_nodes":57537},"product-time-until-next-review:Train":{"node_idx_offset":3147332,"num_nodes":103568},"reviewer-rating-per-len:Train":{"node_idx_offset":6943602,"num_nodes":57535},"product-review-share:Train":{"node_idx_offset":2807057,"num_nodes":103568},"reviewer-one-star-rare:Train":{"node_idx_offset":6443469,"num_nodes":500133},"reviewer-long-review-rare:Train":{"node_idx_offset":4943070,"num_nodes":500133},"product-top-rated:Train":{"node_idx_offset":3250900,"num_nodes":103562},"product-review-count:Train":{"node_idx_offset":2393185,"num_nodes":236707}}

join-amazon-prime-pantry/column_index.json

@@ -1 +1 @@
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join-amazon-prime-pantry/meta.json

@@ -1,466 +1,466 @@
 {
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-  "table_info": "table_info.json",
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-   "task_type": "regression",
-   "time_col": "timestamp"
-  },
-  {
-   "name": "reviews-rating",
-   "kind": "autocomplete",
-   "target_col": "rating",
-   "task_type": "regression",
-   "entity_table": "reviews",
-   "time_col": null,
-   "splits": []
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-  {
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-   "kind": "autocomplete",
-   "target_col": "review_len",
-   "task_type": "regression",
-   "entity_table": "reviews",
-   "time_col": null,
-   "splits": []
-  },
-  {
-   "name": "reviews-verified",
-   "kind": "autocomplete",
-   "target_col": "verified",
-   "task_type": "binary_classification",
-   "entity_table": "reviews",
-   "time_col": null,
-   "splits": []
-  }
- ],
- "text_embeddings": {
-  "all-MiniLM-L12-v2": {
-   "file": "text_emb_all-MiniLM-L12-v2.bin",
-   "d_text": 384
+  "files": {
+    "column_index": "column_index.json",
+    "nodes": "nodes.rkyv",
+    "offsets": "offsets.rkyv",
+    "p2f_adj": "p2f_adj.rkyv",
+    "table_info": "table_info.json",
+    "text": "text.json"
+  },
+  "format_version": 1,
+  "name": "join-amazon-prime-pantry",
+  "num_db_tables": 3,
+  "num_nodes": 1918875,
+  "num_task_tables": 36,
+  "num_text_strings": 18209,
+  "source": "stanford-star/the-join/join-amazon-prime-pantry",
+  "tasks": [
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+      "kind": "forecast",
+      "name": "cold-start-reviewer-long-retention",
+      "splits": [
+        "train"
+      ],
+      "target_col": "cold_long_retention",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "cold-start-reviewer-premium",
+      "splits": [
+        "train"
+      ],
+      "target_col": "cold_premium_try",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "cold-start-reviewer-repeat",
+      "splits": [
+        "train"
+      ],
+      "target_col": "cold_repeat",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "cold-start-reviewer-return-activity",
+      "splits": [
+        "train"
+      ],
+      "target_col": "cold_return_activity",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "cold-start-reviewer-verified",
+      "splits": [
+        "train"
+      ],
+      "target_col": "cold_verified_return",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-avg-rating",
+      "splits": [
+        "train"
+      ],
+      "target_col": "avg_rating_next",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-distinct-reviewers",
+      "splits": [
+        "train"
+      ],
+      "target_col": "distinct_reviewers_next",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-high-rating",
+      "splits": [
+        "train"
+      ],
+      "target_col": "high_rated_next",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-rare-1star-review",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rare_1star",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-rare-helpful-vote-review",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rare_helpful_vote",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-rare-long-review",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rare_long_review",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-rare-premium-purchase",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rare_premium_buy",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-rare-unverified-review",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rare_unverified",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-rating-change",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_change_next",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-rating-trend-reversal",
+      "splits": [
+        "train"
+      ],
+      "target_col": "product_rating_trend_flips",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-rating-volatility",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_stddev",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-review-streak",
+      "splits": [
+        "train"
+      ],
+      "target_col": "streak_buckets",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-time-until-next-review",
+      "splits": [
+        "train"
+      ],
+      "target_col": "days_until_next_review",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "forecast",
+      "name": "product-top-rated",
+      "splits": [
+        "train"
+      ],
+      "target_col": "top_rated_next",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "products",
+      "kind": "autocomplete",
+      "name": "products-avg_rating",
+      "splits": [],
+      "target_col": "avg_rating",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "products",
+      "kind": "autocomplete",
+      "name": "products-n_reviews",
+      "splits": [],
+      "target_col": "n_reviews",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-active",
+      "splits": [
+        "train"
+      ],
+      "target_col": "is_active_next",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-avg-rating",
+      "splits": [
+        "train"
+      ],
+      "target_col": "avg_rating_next",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-churn",
+      "splits": [
+        "train"
+      ],
+      "target_col": "churned_next",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-rare-1star-review",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rare_1star",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-rare-helpful-vote",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rare_helpful_vote",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-rare-long-review",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rare_long_review",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-rare-premium-purchase",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rare_premium_buy",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-rare-unverified-purchase",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rare_unverified",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-rating-trend",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_trending_up_next",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-rating-trend-reversal",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_trend_flips",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-rating-volatility",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_volatility_next",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-return",
+      "splits": [
+        "train"
+      ],
+      "target_col": "returns_next",
+      "task_type": "binary_classification",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-review-count",
+      "splits": [
+        "train"
+      ],
+      "target_col": "review_count_next",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-review-length-volatility",
+      "splits": [
+        "train"
+      ],
+      "target_col": "review_len_stddev",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-review-streak",
+      "splits": [
+        "train"
+      ],
+      "target_col": "streak_buckets",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-time-until-next-review",
+      "splits": [
+        "train"
+      ],
+      "target_col": "days_until_next_review",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviewers",
+      "kind": "forecast",
+      "name": "reviewer-verbosity-per-star",
+      "splits": [
+        "train"
+      ],
+      "target_col": "verbosity_per_star_next",
+      "task_type": "regression",
+      "time_col": "timestamp"
+    },
+    {
+      "entity_table": "reviews",
+      "kind": "autocomplete",
+      "name": "reviews-rating",
+      "splits": [],
+      "target_col": "rating",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "reviews",
+      "kind": "autocomplete",
+      "name": "reviews-review_len",
+      "splits": [],
+      "target_col": "review_len",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "reviews",
+      "kind": "autocomplete",
+      "name": "reviews-verified",
+      "splits": [],
+      "target_col": "verified",
+      "task_type": "binary_classification",
+      "time_col": null
+    }
+  ],
+  "text_embeddings": {
+    "all-MiniLM-L12-v2": {
+      "file": "text_emb_all-MiniLM-L12-v2.bin",
+      "d_text": 384
+    }
   }
- }
-}
+}

join-amazon-prime-pantry/table_info.json

@@ -1 +1 @@
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join-basketball-women/column_index.json

@@ -1 +1 @@
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join-basketball-women/meta.json

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+  "text_embeddings": {
+    "all-MiniLM-L12-v2": {
+      "file": "text_emb_all-MiniLM-L12-v2.bin",
+      "d_text": 384
+    }
   }
- }
-}
+}

join-basketball-women/table_info.json

@@ -1 +1 @@
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+{"players_teams:Db":{"node_idx_offset":2093,"num_nodes":3016},"coaches:Db":{"node_idx_offset":159,"num_nodes":267},"series_post:Db":{"node_idx_offset":5109,"num_nodes":104},"players:Db":{"node_idx_offset":1200,"num_nodes":893},"draft:Db":{"node_idx_offset":426,"num_nodes":774},"teams:Db":{"node_idx_offset":5213,"num_nodes":234},"awards_players:Db":{"node_idx_offset":0,"num_nodes":159},"teams_post:Db":{"node_idx_offset":5447,"num_nodes":123}}

join-berka/column_index.json

@@ -1 +1 @@
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join-berka/meta.json

@@ -1,612 +1,612 @@
 {
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-  "offsets": "offsets.rkyv",
-  "p2f_adj": "p2f_adj.rkyv",
-  "table_info": "table_info.json",
-  "text": "text.json"
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+      "kind": "autocomplete",
+      "name": "district-a6",
+      "splits": [],
+      "target_col": "a6",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "district",
+      "kind": "autocomplete",
+      "name": "district-a7",
+      "splits": [],
+      "target_col": "a7",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "district",
+      "kind": "autocomplete",
+      "name": "district-a8",
+      "splits": [],
+      "target_col": "a8",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "district",
+      "kind": "autocomplete",
+      "name": "district-a9",
+      "splits": [],
+      "target_col": "a9",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "loans",
+      "kind": "autocomplete",
+      "name": "loans-amount",
+      "splits": [],
+      "target_col": "amount",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "loans",
+      "kind": "autocomplete",
+      "name": "loans-duration",
+      "splits": [],
+      "target_col": "duration",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "loans",
+      "kind": "autocomplete",
+      "name": "loans-payments",
+      "splits": [],
+      "target_col": "payments",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "orders",
+      "kind": "autocomplete",
+      "name": "orders-account_to",
+      "splits": [],
+      "target_col": "account_to",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "orders",
+      "kind": "autocomplete",
+      "name": "orders-amount",
+      "splits": [],
+      "target_col": "amount",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "transactions",
+      "kind": "autocomplete",
+      "name": "transactions-amount",
+      "splits": [],
+      "target_col": "amount",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "transactions",
+      "kind": "autocomplete",
+      "name": "transactions-balance",
+      "splits": [],
+      "target_col": "balance",
+      "task_type": "regression",
+      "time_col": null
+    }
+  ],
+  "text_embeddings": {
+    "all-MiniLM-L12-v2": {
+      "file": "text_emb_all-MiniLM-L12-v2.bin",
+      "d_text": 384
+    }
   }
- }
-}
+}

join-berka/table_info.json

@@ -1 +1 @@
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join-bird-beer-factory/column_index.json

@@ -1 +1 @@
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+{"location_id of transaction":10,"root_beer_id of rootbeer":20,"customer_id of rootbeerreview":28,"review_date of rootbeerreview":31,"customer_id of customers":50,"state of rootbeerbrand":2655,"available_in_bottles of rootbeerbrand":2703,"first_brewed_year of rootbeerbrand":2613,"available_in_cans of rootbeerbrand":2702,"purchase_date of rootbeer":26,"zip_code of customers":1458,"state of location":2582,"city of location":2581,"subscribed_to_email_list of customers":2570,"email of customers":1459,"location_name of location":2575,"city of rootbeerbrand":2637,"latitude of geolocation":16,"__PK__ of geolocation":18,"city of customers":1435,"facebook_page of rootbeerbrand":2728,"street_address of customers":880,"brand_id of rootbeer":21,"__PK__ of location":2585,"brewery_name of rootbeerbrand":2614,"available_in_kegs of rootbeerbrand":2704,"location_id of location":2574,"brand_id of rootbeerbrand":2587,"credit_card_number of transaction":2,"customer_id of transaction":3,"location_id of geolocation":15,"star_rating of rootbeerreview":30,"first of customers":51,"artificial_sweetener of rootbeerbrand":2700,"review of rootbeerreview":32,"twitter of rootbeerbrand":2734,"country of rootbeerbrand":2669,"root_beer_id of transaction":12,"brand_id of rootbeerreview":29,"credit_card_type of transaction":5,"last of customers":411,"zip_code of location":2584,"longitude of geolocation":17,"transaction_id of transaction":1,"transaction_date of transaction":4,"phone_number of customers":2014,"description of rootbeerbrand":2672,"wholesale_cost of rootbeerbrand":2737,"street_address of location":2579,"website of rootbeerbrand":2705,"container_type of rootbeer":22,"first_purchase_date of customers":2569,"purchase_price of transaction":13,"location_id of rootbeer":25,"cane_sugar of rootbeerbrand":2697,"corn_syrup of rootbeerbrand":2698,"caffeinated of rootbeerbrand":2701,"current_retail_price of rootbeerbrand":2738,"honey of rootbeerbrand":2699,"brand_name of rootbeerbrand":2588,"gender of customers":2571}

join-bird-beer-factory/meta.json

@@ -1,232 +1,232 @@
 {
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-  "offsets": "offsets.rkyv",
-  "p2f_adj": "p2f_adj.rkyv",
-  "table_info": "table_info.json",
-  "text": "text.json"
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+    "offsets": "offsets.rkyv",
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+    "text": "text.json"
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+    },
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+      "name": "customers-zip_code",
+      "splits": [],
+      "target_col": "zip_code",
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+    },
+    {
+      "entity_table": "geolocation",
+      "kind": "autocomplete",
+      "name": "geolocation-latitude",
+      "splits": [],
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+    },
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+      "kind": "autocomplete",
+      "name": "geolocation-longitude",
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+    },
+    {
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- }
-}
+}

join-bird-beer-factory/table_info.json

@@ -1 +1 @@
-{"transaction:Db":{"node_idx_offset":7727,"num_nodes":6312},"customers:Db":{"node_idx_offset":0,"num_nodes":554},"location:Db":{"node_idx_offset":557,"num_nodes":3},"rootbeerbrand:Db":{"node_idx_offset":6990,"num_nodes":24},"geolocation:Db":{"node_idx_offset":554,"num_nodes":3},"rootbeer:Db":{"node_idx_offset":560,"num_nodes":6430},"rootbeerreview:Db":{"node_idx_offset":7014,"num_nodes":713}}
+{"geolocation:Db":{"node_idx_offset":554,"num_nodes":3},"rootbeer:Db":{"node_idx_offset":560,"num_nodes":6430},"location:Db":{"node_idx_offset":557,"num_nodes":3},"rootbeerbrand:Db":{"node_idx_offset":6990,"num_nodes":24},"transaction:Db":{"node_idx_offset":7727,"num_nodes":6312},"rootbeerreview:Db":{"node_idx_offset":7014,"num_nodes":713},"customers:Db":{"node_idx_offset":0,"num_nodes":554}}

join-bird-beer-factory/text.json

@@ -1 +1 @@
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The two partners then set out to open more root beer stands all across the United States.","AJ Stephans Company makes \nthe finest elixirs and mixers in New England","Abita Root Beer is made with a hot mix process using spring water, herbs, vanilla and yucca (which creates foam). Unlike most soft drink manufacturers, Abita sweetens its root beer with pure Louisiana cane sugar. The resulting taste is reminiscent of soft","Since 1898 Barq's root beer has had a simple slogan - DRINK BARQ'S. IT'S GOOD. After more than a century, it's (still) good.","Always ice cold, “never with ice”.","Bulldog Root Beer is different from other national brands of root beer. Here's why:\nFirst, we use only the best ingredients, which means the most expensive ingredients. For example, we use real cane sugar instead of corn syrup, and we use pure vanilla ext","Savour the taste of the past and the excitement of the future in one magnificent brew (two if you count the equally delicious diet version). Our Root Beer is right at home in the Classic Bundaberg bottle. Bundaberg Root Beer is made to a genuine family re"," Made In Maine Sweetened with natural cane and brown sugars  Caffeine Free  Handcrafted in small batches","Dad’s originated in Chicago in 1937. This old time favorite quickly found a following around the country and became one of the most iconic names in soda. A tribute to all the Dad’s who made root beer for their families it was also known as “America’s Prem","The Dog 'n Suds Brand\n …in the early 50’s two school teachers from Champaign, Illinois started a small hot dog & Root Beer stand that rapidly grew thru out the Midwest. Soon there were Dog ‘n Suds Drive-In restaurants from coast to coast. Canada, our neig","Our Root Beer grew out of original authentic American recipes found at the Library of Congress & has been perfected through many test batches sampled by our friends. Dominion Root Beer has captured an old-fashioned taste that is full-bodied, rich tasting ","An old-fashioned thick and creamy root beer with plenty of flavors blended together in perfect balance.","SPARKY'S Fresh Draft Root Beer is a delicous full flavored premium quality root beer resulting from years of homebrewing and perfecting our recipe.","“I love root beer!” While cooking in England some years ago, my root beer sources dried up and I was forced to do without. So I got a little brown terrier puppy and named him Rootie. When Rootie and I got back to the United States I started making my own ","This American recipe was originally made by master brewers during Prohibition. Its smooth, rich flavor is second to none!","Since 1919, IBC has provided great tasting sodas with the unique heritage of good old-fashioned fun. IBC quickly became renowned for its premium quality and satisfying richness, and it was often imitated, but never equaled.","Originally produced by the Belfast Beverage Company in San Francisco during the 1940s as Belfast Root Beer. An advertisement for Belfast Old Fashioned Mug Root Beer appears as early as 1952.","MADE FOR ICE CREAM!! The Best on the River! River City Root Beer was designed to be an old fashioned style root beer using the 3 best features of over 50 root beers we stock. It contains Real Cane Sugar and the finest ingredients available. We make this i","The Frostie Beverage company began it’s days in an abandoned jailhouse in the late 1930’s. Originally known for it’s root beer they expanded to include a number of well known flavors. Frostie Root Beer has a flavorful creamy root beer flavor. Enjoy with a","This truly old fashioned soda has the rich, creamy flavor that only comes from using pure Wisconsin honey direct from the combs. Our extracts are prepared at the brewery in a hand-made, gas-fired brew kettle, by combining honey, pure vanilla and a host of","One sip of Thomas Kemper Root Beer and you’ll taste where it all began. The obsession with smooth and creamy. The focus on rich and complex. We’ve been batch-brewing this custom soda since way back in 1990 and nobody’s beaten it yet. Sip it chilled and ne","Virgil’s is a gourmet root beer. We’re what Ben and Jerry’s is to ice cream, what Dom Perignon is to champagne. We’re a micro-brewed root beer made with all-natural ingredients. We use herbs imported from around the world and unbleached pure cane sugar.\n\n","The flavor has been hand-crafted from a secret blend of over 20 extract varieties of roots, herbs and berries — resulting in the creamiest, best tasting root beer ever made! This is the fastest growing micro soda Root Beer in the USA.","The name 1919 Classic American Draft Root Beer signifies the year when hundreds of breweries were faced with the prospect of closing because of Prohibition (1919-1933). \n\nIn order to keep their breweries open, several resourceful Brewmasters chose to make","cane_sugar of rootbeerbrand","corn_syrup of rootbeerbrand","honey of rootbeerbrand","artificial_sweetener of rootbeerbrand","caffeinated of rootbeerbrand","alcoholic of rootbeerbrand","available_in_cans of rootbeerbrand","available_in_bottles of rootbeerbrand","available_in_kegs of rootbeerbrand","website of rootbeerbrand","http://www.rootbeer.com/","http://www.ajstephans.com/","https://abita.com/brews/our_brews/abita-root-beer","http://www.barqs.com/","http://bedfordssodas.com/products.html","http://www.bulldogrootbeer.com/","https://www.bundaberg.com/en-us/brew/root-beer/","http://www.captneli.com/rootbeer.php","http://www.dadsrootbeer.com/dads/dads.nsf/vwContent/Homepage","http://supplies.dog-n-suds.com/page.php?5","http://www.fordhamanddominion.com/sodas","https://fitzsrootbeer.com/","http://www.sparkysrootbeer.com/","http://www.galegand.com/cookbooks-soda/","https://www.drpeppersnapplegroup.com/brands/ibc/","https://www.facebook.com/MugRootBeer/","http://www.bluedogbeverage.com/sodas/river-city-root-beer-12-oz-bottle/","https://www.sprecherbrewery.com/soda.php","http://thomaskemper.com/#Root-Beer","http://reedsinc.com/product/virgils-root-beer/","http://www.drinkstewarts.com/flavors.aspx#dietrootbeer","http://www.1919rootbeer.com/","facebook_page of rootbeerbrand","https://www.facebook.com/Dads-Old-Fashioned-Root-Beer-and-Cream-Soda-117159998301204/","https://www.facebook.com/Dog-N-Suds-Bottled-Root-Beer-117372294947833/","https://www.facebook.com/fitzsrootbeer","https://www.facebook.com/Gales-Root-Beer-207365072632626/","https://www.facebook.com/1919rootbeer","twitter of rootbeerbrand","https://twitter.com/ilovedads","https://twitter.com/1919rootbeer","wholesale_cost of rootbeerbrand","current_retail_price of rootbeerbrand"]
+["transaction","transaction_id of transaction","credit_card_number of transaction","customer_id of transaction","transaction_date of transaction","credit_card_type of transaction","Discover","Visa","MasterCard","American Express","location_id of transaction","location","root_beer_id of transaction","purchase_price of transaction","geolocation","location_id of geolocation","latitude of geolocation","longitude of geolocation","__PK__ of geolocation","rootbeer","root_beer_id of rootbeer","brand_id of rootbeer","container_type of rootbeer","Bottle","Can","location_id of rootbeer","purchase_date of rootbeer","rootbeerreview","customer_id of rootbeerreview","brand_id of rootbeerreview","star_rating of rootbeerreview","review_date of rootbeerreview","review of rootbeerreview","You could have done better Sactown.","Too much bite, not enough barq.","The drink is fine, but the crest on the label is pretentious.","Fantastic!","Love stopping by Fitz's in St. Louis.","Cans? Not a chance.","Does Wisconsin proud.","Awww, doggies!","That is the coolest bottle and the foulest root beer.","Too Spicy!","This is the best root beer ever!","Only root beer I've ever seen.","The quintessential dessert root beer. No ice cream required.","Yuk, more like licorice soda.","Didn't try it, but the label was ugly.","Tastes like Australia.","customers","customer_id of customers","first of 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join-bird-european-football-2/meta.json

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+      "task_type": "regression",
+      "time_col": null
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+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-crossing",
+      "splits": [],
+      "target_col": "crossing",
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+      "time_col": null
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+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-curve",
+      "splits": [],
+      "target_col": "curve",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-dribbling",
+      "splits": [],
+      "target_col": "dribbling",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-finishing",
+      "splits": [],
+      "target_col": "finishing",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-free_kick_accuracy",
+      "splits": [],
+      "target_col": "free_kick_accuracy",
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+      "time_col": null
+    },
+    {
+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-gk_diving",
+      "splits": [],
+      "target_col": "gk_diving",
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+      "time_col": null
+    },
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+      "kind": "autocomplete",
+      "name": "Player_Attributes-gk_handling",
+      "splits": [],
+      "target_col": "gk_handling",
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+      "name": "Player_Attributes-gk_kicking",
+      "splits": [],
+      "target_col": "gk_kicking",
+      "task_type": "regression",
+      "time_col": null
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+      "name": "Player_Attributes-gk_positioning",
+      "splits": [],
+      "target_col": "gk_positioning",
+      "task_type": "regression",
+      "time_col": null
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+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-gk_reflexes",
+      "splits": [],
+      "target_col": "gk_reflexes",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-heading_accuracy",
+      "splits": [],
+      "target_col": "heading_accuracy",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-interceptions",
+      "splits": [],
+      "target_col": "interceptions",
+      "task_type": "regression",
+      "time_col": null
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+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-jumping",
+      "splits": [],
+      "target_col": "jumping",
+      "task_type": "regression",
+      "time_col": null
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+      "kind": "autocomplete",
+      "name": "Player_Attributes-long_passing",
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+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-long_shots",
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+      "kind": "autocomplete",
+      "name": "Player_Attributes-marking",
+      "splits": [],
+      "target_col": "marking",
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+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-overall_rating",
+      "splits": [],
+      "target_col": "overall_rating",
+      "task_type": "regression",
+      "time_col": null
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+    {
+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-penalties",
+      "splits": [],
+      "target_col": "penalties",
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+      "time_col": null
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+      "kind": "autocomplete",
+      "name": "Player_Attributes-positioning",
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+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-potential",
+      "splits": [],
+      "target_col": "potential",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-reactions",
+      "splits": [],
+      "target_col": "reactions",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-short_passing",
+      "splits": [],
+      "target_col": "short_passing",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-shot_power",
+      "splits": [],
+      "target_col": "shot_power",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-sliding_tackle",
+      "splits": [],
+      "target_col": "sliding_tackle",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-sprint_speed",
+      "splits": [],
+      "target_col": "sprint_speed",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-stamina",
+      "splits": [],
+      "target_col": "stamina",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-standing_tackle",
+      "splits": [],
+      "target_col": "standing_tackle",
+      "task_type": "regression",
+      "time_col": null
+    },
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+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-strength",
+      "splits": [],
+      "target_col": "strength",
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+      "time_col": null
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+      "entity_table": "Player_Attributes",
+      "kind": "autocomplete",
+      "name": "Player_Attributes-vision",
+      "splits": [],
+      "target_col": "vision",
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+      "kind": "autocomplete",
+      "name": "Player_Attributes-volleys",
+      "splits": [],
+      "target_col": "volleys",
+      "task_type": "regression",
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+      "entity_table": "Team",
+      "kind": "autocomplete",
+      "name": "Team-team_api_id",
+      "splits": [],
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+      "task_type": "regression",
+      "time_col": null
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+      "name": "Team-team_fifa_api_id",
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+      "target_col": "build_up_play_passing",
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+      "kind": "autocomplete",
+      "name": "Team_Attributes-defence_aggression",
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+      "task_type": "regression",
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+      "kind": "autocomplete",
+      "name": "Team_Attributes-defence_pressure",
+      "splits": [],
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+      "name": "Team_Attributes-defence_team_width",
+      "splits": [],
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+      "target_col": "league_match_count",
+      "task_type": "regression",
+      "time_col": "date"
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+      "name": "player-repeats-work-rate",
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+      "task_type": "binary_classification",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "Player",
+      "kind": "forecast",
+      "name": "player-return-to-active",
+      "splits": [
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+      "task_type": "binary_classification",
+      "time_col": "date"
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   }
- }
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+}

join-bird-european-football-2/table_info.json

@@ -1 +1 @@
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join-bird-human-resources/column_index.json

@@ -1 +1 @@
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join-bird-human-resources/meta.json

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join-bird-human-resources/table_info.json

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join-bird-ice-hockey-draft/column_index.json

@@ -1 +1 @@
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join-bird-ice-hockey-draft/meta.json

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-}
+}

join-bird-ice-hockey-draft/table_info.json

@@ -1 +1 @@
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join-bird-music-platform-2/column_index.json

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join-bird-music-platform-2/meta.json

@@ -1,589 +1,589 @@
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+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "coldstart-podcast-listener-pickup",
+      "splits": [
+        "train"
+      ],
+      "target_col": "listener_pickup",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "coldstart-podcast-repeat-review",
+      "splits": [
+        "train"
+      ],
+      "target_col": "repeats",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "coldstart-podcast-retention-3w",
+      "splits": [
+        "train"
+      ],
+      "target_col": "retained",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "coldstart-podcast-second-reviewer",
+      "splits": [
+        "train"
+      ],
+      "target_col": "second_reviewer",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "coldstart-podcast-survives",
+      "splits": [
+        "train"
+      ],
+      "target_col": "survives",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "coldstart-podcast-sustained",
+      "splits": [
+        "train"
+      ],
+      "target_col": "sustained",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "coldstart-podcast-takeoff",
+      "splits": [
+        "train"
+      ],
+      "target_col": "takeoff",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-avg-rating",
+      "splits": [
+        "train"
+      ],
+      "target_col": "avg_rating",
+      "task_type": "regression",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-churn",
+      "splits": [
+        "train"
+      ],
+      "target_col": "no_reviews",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-days-until-next-review",
+      "splits": [
+        "train"
+      ],
+      "target_col": "days_to_next_review",
+      "task_type": "regression",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-distinct-reviewers",
+      "splits": [
+        "train"
+      ],
+      "target_col": "distinct_reviewers",
+      "task_type": "regression",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-high-rated",
+      "splits": [
+        "train"
+      ],
+      "target_col": "is_high_rated",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-high-volume",
+      "splits": [
+        "train"
+      ],
+      "target_col": "is_popular",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-low-rating",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_low_rating",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-max-rating",
+      "splits": [
+        "train"
+      ],
+      "target_col": "max_rating",
+      "task_type": "regression",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-min-rating",
+      "splits": [
+        "train"
+      ],
+      "target_col": "min_rating",
+      "task_type": "regression",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rare-15plus-reviews",
+      "splits": [
+        "train"
+      ],
+      "target_col": "had_15plus",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rare-1star-review",
+      "splits": [
+        "train"
+      ],
+      "target_col": "had_1star",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rare-20plus-reviews",
+      "splits": [
+        "train"
+      ],
+      "target_col": "had_20plus",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rare-2plus-reviews",
+      "splits": [
+        "train"
+      ],
+      "target_col": "had_2plus",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rare-3plus-reviews",
+      "splits": [
+        "train"
+      ],
+      "target_col": "had_3plus",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rare-4plus-reviews",
+      "splits": [
+        "train"
+      ],
+      "target_col": "had_4plus",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rare-5plus-reviews",
+      "splits": [
+        "train"
+      ],
+      "target_col": "had_5plus",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rare-7plus-reviews",
+      "splits": [
+        "train"
+      ],
+      "target_col": "had_7plus",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rare-review-burst",
+      "splits": [
+        "train"
+      ],
+      "target_col": "had_burst",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rare-viral-engagement",
+      "splits": [
+        "train"
+      ],
+      "target_col": "had_viral",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rating-change",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_delta",
+      "task_type": "regression",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rating-sum-change",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_sum_delta",
+      "task_type": "regression",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rating-trend",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_trend_up",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rating-trend-reversal",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_trend_flips",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rating-volatility",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_volatility",
+      "task_type": "regression",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-rating-volatility-change",
+      "splits": [
+        "train"
+      ],
+      "target_col": "rating_dispersion",
+      "task_type": "regression",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-reactivation",
+      "splits": [
+        "train"
+      ],
+      "target_col": "reactivates",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-return",
+      "splits": [
+        "train"
+      ],
+      "target_col": "audience_returned",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-review-count",
+      "splits": [
+        "train"
+      ],
+      "target_col": "review_count",
+      "task_type": "regression",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-review-streak-length",
+      "splits": [
+        "train"
+      ],
+      "target_col": "max_active_streak",
+      "task_type": "regression",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-top-1pct-reviewed",
+      "splits": [
+        "train"
+      ],
+      "target_col": "in_top_1pct_volume",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-top-5pct-rating",
+      "splits": [
+        "train"
+      ],
+      "target_col": "in_top_5pct_rating",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-top-rated",
+      "splits": [
+        "train"
+      ],
+      "target_col": "top_rated",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-top-volume",
+      "splits": [
+        "train"
+      ],
+      "target_col": "top_volume",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-volume-change",
+      "splits": [
+        "train"
+      ],
+      "target_col": "volume_delta",
+      "task_type": "regression",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-volume-growth",
+      "splits": [
+        "train"
+      ],
+      "target_col": "volume_up",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-volume-trend-reversal",
+      "splits": [
+        "train"
+      ],
+      "target_col": "volume_trend_flips",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-weekly-streak-length",
+      "splits": [
+        "train"
+      ],
+      "target_col": "weekly_active_streak",
+      "task_type": "regression",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "forecast",
+      "name": "podcast-will-be-reviewed",
+      "splits": [
+        "train"
+      ],
+      "target_col": "will_be_reviewed",
+      "task_type": "binary_classification",
+      "time_col": "created_at"
+    },
+    {
+      "entity_table": "podcasts",
+      "kind": "autocomplete",
+      "name": "podcasts-itunes_id",
+      "splits": [],
+      "target_col": "itunes_id",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "reviews",
+      "kind": "autocomplete",
+      "name": "reviews-rating",
+      "splits": [],
+      "target_col": "rating",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "runs",
+      "kind": "autocomplete",
+      "name": "runs-max_rowid",
+      "splits": [],
+      "target_col": "max_rowid",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "runs",
+      "kind": "autocomplete",
+      "name": "runs-reviews_added",
+      "splits": [],
+      "target_col": "reviews_added",
+      "task_type": "regression",
+      "time_col": null
+    }
+  ],
+  "text_embeddings": {
+    "all-MiniLM-L12-v2": {
+      "file": "text_emb_all-MiniLM-L12-v2.bin",
+      "d_text": 384
+    }
   }
- }
-}
+}

join-bird-music-platform-2/table_info.json

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join-bird-synthea/meta.json

@@ -1,664 +1,664 @@
 {
- "files": {
-  "column_index": "column_index.json",
-  "nodes": "nodes.rkyv",
-  "offsets": "offsets.rkyv",
-  "p2f_adj": "p2f_adj.rkyv",
-  "table_info": "table_info.json",
-  "text": "text.json"
- },
- "format_version": 1,
- "name": "join-bird-synthea",
- "num_db_tables": 11,
- "num_nodes": 1268489,
- "num_task_tables": 45,
- "num_text_strings": 15048,
- "source": "stanford-rdl/the-join/join-bird-synthea",
- "tasks": [
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-   "kind": "autocomplete",
-   "target_col": "occurrences",
-   "task_type": "regression",
-   "entity_table": "all_prevalences",
-   "time_col": null,
-   "splits": []
-  },
-  {
-   "name": "all_prevalences-population_count",
-   "kind": "autocomplete",
-   "target_col": "population_count",
-   "task_type": "regression",
-   "entity_table": "all_prevalences",
-   "time_col": null,
-   "splits": []
-  },
-  {
-   "name": "all_prevalences-prevalence_percentage",
-   "kind": "autocomplete",
-   "target_col": "prevalence_percentage",
-   "task_type": "regression",
-   "entity_table": "all_prevalences",
-   "time_col": null,
-   "splits": []
-  },
-  {
-   "name": "all_prevalences-prevalence_rate",
-   "kind": "autocomplete",
-   "target_col": "prevalence_rate",
-   "task_type": "regression",
-   "entity_table": "all_prevalences",
-   "time_col": null,
-   "splits": []
-  },
-  {
-   "name": "allergies-code",
-   "kind": "autocomplete",
-   "target_col": "code",
-   "task_type": "regression",
-   "entity_table": "allergies",
-   "time_col": null,
-   "splits": []
-  },
-  {
-   "name": "careplans-code",
-   "kind": "autocomplete",
-   "target_col": "code",
-   "task_type": "regression",
-   "entity_table": "careplans",
-   "time_col": null,
-   "splits": []
-  },
-  {
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-   "kind": "autocomplete",
-   "target_col": "reasoncode",
-   "task_type": "regression",
-   "entity_table": "careplans",
-   "time_col": null,
-   "splits": []
-  },
-  {
-   "name": "claims-total",
-   "kind": "autocomplete",
-   "target_col": "total",
-   "task_type": "regression",
-   "entity_table": "claims",
-   "time_col": null,
-   "splits": []
-  },
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-   "kind": "autocomplete",
-   "target_col": "code",
-   "task_type": "regression",
-   "entity_table": "conditions",
-   "time_col": null,
-   "splits": []
-  },
-  {
-   "name": "encounters-code",
-   "kind": "autocomplete",
-   "target_col": "code",
-   "task_type": "regression",
-   "entity_table": "encounters",
-   "time_col": null,
-   "splits": []
-  },
-  {
-   "name": "immunizations-code",
-   "kind": "autocomplete",
-   "target_col": "code",
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-   "entity_table": "immunizations",
-   "time_col": null,
-   "splits": []
-  },
-  {
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-   "target_col": "code",
-   "task_type": "regression",
-   "entity_table": "medications",
-   "time_col": null,
-   "splits": []
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-  {
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-   "kind": "autocomplete",
-   "target_col": "reasoncode",
-   "task_type": "regression",
-   "entity_table": "medications",
-   "time_col": null,
-   "splits": []
-  },
-  {
-   "name": "observations-value",
-   "kind": "autocomplete",
-   "target_col": "value",
-   "task_type": "regression",
-   "entity_table": "observations",
-   "time_col": null,
-   "splits": []
-  },
-  {
-   "name": "patient-care-return",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "care_returned",
-   "task_type": "binary_classification",
-   "time_col": "date"
-  },
-  {
-   "name": "patient-careplan-count",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "careplan_count_next",
-   "task_type": "regression",
-   "time_col": "start"
-  },
-  {
-   "name": "patient-condition-count",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "condition_count_next",
-   "task_type": "regression",
-   "time_col": "start"
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-  {
-   "name": "patient-days-until-next-encounter",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "days_until_next_encounter",
-   "task_type": "regression",
-   "time_col": "date"
-  },
-  {
-   "name": "patient-days-until-next-medication",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "days_until_next_medication",
-   "task_type": "regression",
-   "time_col": "start"
-  },
-  {
-   "name": "patient-days-until-next-procedure",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "days_until_next_procedure",
-   "task_type": "regression",
-   "time_col": "date"
-  },
-  {
-   "name": "patient-distinct-condition-types",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "distinct_conditions",
-   "task_type": "regression",
-   "time_col": "start"
-  },
-  {
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-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "distinct_obs_types",
-   "task_type": "regression",
-   "time_col": "date"
-  },
-  {
-   "name": "patient-distinct-procedure-codes",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "distinct_procedure_codes",
-   "task_type": "regression",
-   "time_col": "date"
-  },
-  {
-   "name": "patient-encounter-count",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "encounter_count_next",
-   "task_type": "regression",
-   "time_col": "date"
-  },
-  {
-   "name": "patient-encounter-streak-weeks",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "encounter_streak_buckets",
-   "task_type": "regression",
-   "time_col": "date"
-  },
-  {
-   "name": "patient-has-encounter",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "has_encounter_next",
-   "task_type": "binary_classification",
-   "time_col": "date"
-  },
-  {
-   "name": "patient-has-new-medication",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "has_new_medication",
-   "task_type": "binary_classification",
-   "time_col": "start"
-  },
-  {
-   "name": "patient-has-procedure",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "has_procedure_next",
-   "task_type": "binary_classification",
-   "time_col": "date"
-  },
-  {
-   "name": "patient-high-obs-value",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "has_high_obs_value",
-   "task_type": "binary_classification",
-   "time_col": "date"
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-  {
-   "name": "patient-immunization-count",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "immunization_count_next",
-   "task_type": "regression",
-   "time_col": "date"
-  },
-  {
-   "name": "patient-inactive",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "is_inactive",
-   "task_type": "binary_classification",
-   "time_col": "date"
-  },
-  {
-   "name": "patient-log-claim-total-sum-heavy-tail",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
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-   "target_col": "log_claim_total_sum_next",
-   "task_type": "regression",
-   "time_col": "billableperiod"
-  },
-  {
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-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "log_encounter_count_next",
-   "task_type": "regression",
-   "time_col": "date"
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-  {
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-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "log_max_obs_value_next",
-   "task_type": "regression",
-   "time_col": "date"
-  },
-  {
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-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "log_mean_obs_value_next",
-   "task_type": "regression",
-   "time_col": "date"
-  },
-  {
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-   "kind": "forecast",
-   "entity_table": "patients",
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-   "target_col": "log_medication_count_next",
-   "task_type": "regression",
-   "time_col": "start"
-  },
-  {
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-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
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-   ],
-   "target_col": "log_procedure_count_next",
-   "task_type": "regression",
-   "time_col": "date"
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-  {
-   "name": "patient-max-observation-value",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "max_obs_value_next",
-   "task_type": "regression",
-   "time_col": "date"
-  },
-  {
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-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "mean_obs_value_next",
-   "task_type": "regression",
-   "time_col": "date"
-  },
-  {
-   "name": "patient-medication-count",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "medication_count_next",
-   "task_type": "regression",
-   "time_col": "start"
-  },
-  {
-   "name": "patient-medication-return",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "medication_returned",
-   "task_type": "binary_classification",
-   "time_col": "start"
-  },
-  {
-   "name": "patient-medication-streak",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
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-   ],
-   "target_col": "medication_streak_buckets",
-   "task_type": "regression",
-   "time_col": "start"
-  },
-  {
-   "name": "patient-new-condition",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "has_new_condition",
-   "task_type": "binary_classification",
-   "time_col": "start"
-  },
-  {
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-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "new_condition_diagnosed",
-   "task_type": "binary_classification",
-   "time_col": "start"
-  },
-  {
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-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
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-   "target_col": "adopts_new_medication",
-   "task_type": "binary_classification",
-   "time_col": "start"
-  },
-  {
-   "name": "patient-new-procedure-adoption",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "adopts_new_procedure_code",
-   "task_type": "binary_classification",
-   "time_col": "date"
-  },
-  {
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-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "obs_delta",
-   "task_type": "regression",
-   "time_col": "date"
-  },
-  {
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-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
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-   "target_col": "obs_value_trend_up",
-   "task_type": "binary_classification",
-   "time_col": "date"
-  },
-  {
-   "name": "patient-obs-volatility",
-   "kind": "forecast",
-   "entity_table": "patients",
-   "splits": [
-    "train"
-   ],
-   "target_col": "obs_volatility",
-   "task_type": "regression",
-   "time_col": "date"
-  },
-  {
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-   "task_type": "regression",
-   "time_col": "date"
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-  {
-   "name": "patient-observation-trend-reversal",
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-   "target_col": "obs_trend_flips",
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-   "time_col": "date"
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-   "target_col": "obs_value_stddev",
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-   "time_col": "date"
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-   "task_type": "binary_classification",
-   "time_col": "date"
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-  {
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-   "target_col": "repeats_last_immunization",
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-   "time_col": "date"
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-   "kind": "forecast",
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-   "target_col": "repeats_last_medication",
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-   "time_col": "date"
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-   "splits": []
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-   "target_col": "reasoncode",
-   "task_type": "regression",
-   "entity_table": "procedures",
-   "time_col": null,
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- ],
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-   "d_text": 384
+  "files": {
+    "column_index": "column_index.json",
+    "nodes": "nodes.rkyv",
+    "offsets": "offsets.rkyv",
+    "p2f_adj": "p2f_adj.rkyv",
+    "table_info": "table_info.json",
+    "text": "text.json"
+  },
+  "format_version": 1,
+  "name": "join-bird-synthea",
+  "num_db_tables": 11,
+  "num_nodes": 1301552,
+  "num_task_tables": 45,
+  "num_text_strings": 15043,
+  "source": "stanford-star/the-join/join-bird-synthea",
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+      "kind": "autocomplete",
+      "name": "all_prevalences-occurrences",
+      "splits": [],
+      "target_col": "occurrences",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "all_prevalences",
+      "kind": "autocomplete",
+      "name": "all_prevalences-population_count",
+      "splits": [],
+      "target_col": "population_count",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "all_prevalences",
+      "kind": "autocomplete",
+      "name": "all_prevalences-prevalence_percentage",
+      "splits": [],
+      "target_col": "prevalence_percentage",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
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+      "kind": "autocomplete",
+      "name": "all_prevalences-prevalence_rate",
+      "splits": [],
+      "target_col": "prevalence_rate",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
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+      "kind": "autocomplete",
+      "name": "allergies-code",
+      "splits": [],
+      "target_col": "code",
+      "task_type": "regression",
+      "time_col": null
+    },
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+      "kind": "autocomplete",
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+      "target_col": "code",
+      "task_type": "regression",
+      "time_col": null
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+      "kind": "autocomplete",
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+      "task_type": "regression",
+      "time_col": null
+    },
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+      "name": "claims-total",
+      "splits": [],
+      "target_col": "total",
+      "task_type": "regression",
+      "time_col": null
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+      "kind": "autocomplete",
+      "name": "conditions-code",
+      "splits": [],
+      "target_col": "code",
+      "task_type": "regression",
+      "time_col": null
+    },
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+      "kind": "autocomplete",
+      "name": "encounters-code",
+      "splits": [],
+      "target_col": "code",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "immunizations",
+      "kind": "autocomplete",
+      "name": "immunizations-code",
+      "splits": [],
+      "target_col": "code",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "medications",
+      "kind": "autocomplete",
+      "name": "medications-code",
+      "splits": [],
+      "target_col": "code",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "medications",
+      "kind": "autocomplete",
+      "name": "medications-reasoncode",
+      "splits": [],
+      "target_col": "reasoncode",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "observations",
+      "kind": "autocomplete",
+      "name": "observations-value",
+      "splits": [],
+      "target_col": "value",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-care-return",
+      "splits": [
+        "train"
+      ],
+      "target_col": "care_returned",
+      "task_type": "binary_classification",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-careplan-count",
+      "splits": [
+        "train"
+      ],
+      "target_col": "careplan_count_next",
+      "task_type": "regression",
+      "time_col": "start"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-condition-count",
+      "splits": [
+        "train"
+      ],
+      "target_col": "condition_count_next",
+      "task_type": "regression",
+      "time_col": "start"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-days-until-next-encounter",
+      "splits": [
+        "train"
+      ],
+      "target_col": "days_until_next_encounter",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-days-until-next-medication",
+      "splits": [
+        "train"
+      ],
+      "target_col": "days_until_next_medication",
+      "task_type": "regression",
+      "time_col": "start"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-days-until-next-procedure",
+      "splits": [
+        "train"
+      ],
+      "target_col": "days_until_next_procedure",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-distinct-condition-types",
+      "splits": [
+        "train"
+      ],
+      "target_col": "distinct_conditions",
+      "task_type": "regression",
+      "time_col": "start"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-distinct-obs-types",
+      "splits": [
+        "train"
+      ],
+      "target_col": "distinct_obs_types",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-distinct-procedure-codes",
+      "splits": [
+        "train"
+      ],
+      "target_col": "distinct_procedure_codes",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-encounter-count",
+      "splits": [
+        "train"
+      ],
+      "target_col": "encounter_count_next",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-encounter-streak-weeks",
+      "splits": [
+        "train"
+      ],
+      "target_col": "encounter_streak_buckets",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-has-encounter",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_encounter_next",
+      "task_type": "binary_classification",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-has-new-medication",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_new_medication",
+      "task_type": "binary_classification",
+      "time_col": "start"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-has-procedure",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_procedure_next",
+      "task_type": "binary_classification",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-high-obs-value",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_high_obs_value",
+      "task_type": "binary_classification",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-immunization-count",
+      "splits": [
+        "train"
+      ],
+      "target_col": "immunization_count_next",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-inactive",
+      "splits": [
+        "train"
+      ],
+      "target_col": "is_inactive",
+      "task_type": "binary_classification",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-log-claim-total-sum-heavy-tail",
+      "splits": [
+        "train"
+      ],
+      "target_col": "log_claim_total_sum_next",
+      "task_type": "regression",
+      "time_col": "billableperiod"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-log-encounter-count-heavy-tail",
+      "splits": [
+        "train"
+      ],
+      "target_col": "log_encounter_count_next",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-log-max-observation-heavy-tail",
+      "splits": [
+        "train"
+      ],
+      "target_col": "log_max_obs_value_next",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-log-mean-observation-heavy-tail",
+      "splits": [
+        "train"
+      ],
+      "target_col": "log_mean_obs_value_next",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-log-medication-count-heavy-tail",
+      "splits": [
+        "train"
+      ],
+      "target_col": "log_medication_count_next",
+      "task_type": "regression",
+      "time_col": "start"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-log-procedure-count-heavy-tail",
+      "splits": [
+        "train"
+      ],
+      "target_col": "log_procedure_count_next",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-max-observation-value",
+      "splits": [
+        "train"
+      ],
+      "target_col": "max_obs_value_next",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-mean-observation-value",
+      "splits": [
+        "train"
+      ],
+      "target_col": "mean_obs_value_next",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-medication-count",
+      "splits": [
+        "train"
+      ],
+      "target_col": "medication_count_next",
+      "task_type": "regression",
+      "time_col": "start"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-medication-return",
+      "splits": [
+        "train"
+      ],
+      "target_col": "medication_returned",
+      "task_type": "binary_classification",
+      "time_col": "start"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-medication-streak",
+      "splits": [
+        "train"
+      ],
+      "target_col": "medication_streak_buckets",
+      "task_type": "regression",
+      "time_col": "start"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-new-condition",
+      "splits": [
+        "train"
+      ],
+      "target_col": "has_new_condition",
+      "task_type": "binary_classification",
+      "time_col": "start"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-new-condition-diagnosis",
+      "splits": [
+        "train"
+      ],
+      "target_col": "new_condition_diagnosed",
+      "task_type": "binary_classification",
+      "time_col": "start"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-new-medication-adoption",
+      "splits": [
+        "train"
+      ],
+      "target_col": "adopts_new_medication",
+      "task_type": "binary_classification",
+      "time_col": "start"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-new-procedure-adoption",
+      "splits": [
+        "train"
+      ],
+      "target_col": "adopts_new_procedure_code",
+      "task_type": "binary_classification",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-obs-change",
+      "splits": [
+        "train"
+      ],
+      "target_col": "obs_delta",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-obs-value-trend",
+      "splits": [
+        "train"
+      ],
+      "target_col": "obs_value_trend_up",
+      "task_type": "binary_classification",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-obs-volatility",
+      "splits": [
+        "train"
+      ],
+      "target_col": "obs_volatility",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-observation-count",
+      "splits": [
+        "train"
+      ],
+      "target_col": "obs_count_next",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-observation-trend-reversal",
+      "splits": [
+        "train"
+      ],
+      "target_col": "obs_trend_flips",
+      "task_type": "binary_classification",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-observation-volatility",
+      "splits": [
+        "train"
+      ],
+      "target_col": "obs_value_stddev",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-procedure-count",
+      "splits": [
+        "train"
+      ],
+      "target_col": "procedure_count_next",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-repeat-last-encounter-reason",
+      "splits": [
+        "train"
+      ],
+      "target_col": "repeats_last_encounter_reason",
+      "task_type": "binary_classification",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-repeat-last-immunization",
+      "splits": [
+        "train"
+      ],
+      "target_col": "repeats_last_immunization",
+      "task_type": "binary_classification",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-repeat-last-medication",
+      "splits": [
+        "train"
+      ],
+      "target_col": "repeats_last_medication",
+      "task_type": "binary_classification",
+      "time_col": "start"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-share-of-observation-value",
+      "splits": [
+        "train"
+      ],
+      "target_col": "share_of_total_obs_value",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-share-of-total-encounters",
+      "splits": [
+        "train"
+      ],
+      "target_col": "share_of_total_encounters",
+      "task_type": "regression",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "patients",
+      "kind": "forecast",
+      "name": "patient-top-obs-value",
+      "splits": [
+        "train"
+      ],
+      "target_col": "top_obs_value",
+      "task_type": "binary_classification",
+      "time_col": "date"
+    },
+    {
+      "entity_table": "procedures",
+      "kind": "autocomplete",
+      "name": "procedures-code",
+      "splits": [],
+      "target_col": "code",
+      "task_type": "regression",
+      "time_col": null
+    },
+    {
+      "entity_table": "procedures",
+      "kind": "autocomplete",
+      "name": "procedures-reasoncode",
+      "splits": [],
+      "target_col": "reasoncode",
+      "task_type": "regression",
+      "time_col": null
+    }
+  ],
+  "text_embeddings": {
+    "all-MiniLM-L12-v2": {
+      "file": "text_emb_all-MiniLM-L12-v2.bin",
+      "d_text": 384
+    }
   }
- }
-}
+}

join-bird-synthea/table_info.json

@@ -1 +1 @@
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