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@@ -18,6 +18,25 @@ pretty_name: Relation Mapping
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  ### Dataset Summary
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  Relation Mapping is a task to choose optimal combination of word pairs (see more detail in the [paper](https://www.jair.org/index.php/jair/article/view/10583)).
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  ## Dataset Structure
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  ### Data Instances
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  An example looks as follows.
@@ -33,6 +52,14 @@ An example looks as follows.
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  }
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  ```
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  ### Data Splits
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  | name |test|
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  |---------|----:|
 
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  ### Dataset Summary
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  Relation Mapping is a task to choose optimal combination of word pairs (see more detail in the [paper](https://www.jair.org/index.php/jair/article/view/10583)).
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+
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+ Relation mapping `M` is the set of bijective map in between two sets of terms (`A` and `B`):
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+ ```
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+ [set `A`]: ("solar system", "sun", "planet", "mass", "attracts", "revolves", "gravity")
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+ [set `B`]: ("atom", "nucleus", "electron", "charge", "attracts", "revolves", "electromagnetism")
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+
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+ [Relation Mapping `M`]
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+ * "solar system" -> "atom"
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+ * "sun" -> "nucleus"
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+ * "planet" -> "electron"
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+ * "mass" -> "charge"
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+ * "attracts" -> "attracts"
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+ * "revolves" -> "revolves"
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+ * "gravity" -> "electromagnetism"
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+ ```
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+
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+ ***[Relation Mapping Problem](https://www.jair.org/index.php/jair/article/view/10583)*** is the task to identify the mapping `M` given the sets of terms `A` and `B`.
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+
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+
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  ## Dataset Structure
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  ### Data Instances
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  An example looks as follows.
 
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  }
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  ```
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+ - `source`: A list of terms, which is the source of the relation mapping from.
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+ - `target_random`: A list of terms, where we want to find a mapping from `source` to.
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+ - `target`: A correctly ordered `target_random` that aligns with the `source`.
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+
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+ Given `source` and `target_random`, the task is to predict the correct order of `target_random` so that it matches `target`.
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+ In average 7 terms are in the set, so the total number of possible order is 5040.
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+
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+
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  ### Data Splits
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  | name |test|
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  |---------|----:|