edu.stanford.nlp.tmt.data

Dataset

trait Dataset [Item, ID, This] extends AnyRef

A Dataset is a collection of Items with a function that can return a unique identifier for each item.

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Abstract Value Members

  1. def getID (item: Item): ID

    Returns a unique identifier for each item.

    Returns a unique identifier for each item.

    Attributes
    abstract
  2. def items : Iterable[Item]

    Collection of items.

    Collection of items.

    Attributes
    abstract
  3. def name : String

    Name of this dataset.

    Name of this dataset.

    Attributes
    abstract

Concrete Value Members

  1. def != (arg0: AnyRef): Boolean

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  2. def != (arg0: Any): Boolean

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  3. def ## (): Int

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  4. def == (arg0: AnyRef): Boolean

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  5. def == (arg0: Any): Boolean

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  6. def asIDs : Iterable[ID]

    A view of this dataset as its underlying terms.

  7. def asInstanceOf [T0] : T0

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  8. def clone (): AnyRef

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  9. def eq (arg0: AnyRef): Boolean

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  10. def equals (arg0: Any): Boolean

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  11. def finalize (): Unit

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  12. def getClass (): java.lang.Class[_]

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  13. def hashCode (): Int

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  14. def isInstanceOf [T0] : Boolean

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  15. def ne (arg0: AnyRef): Boolean

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  16. def notify (): Unit

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  17. def notifyAll (): Unit

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  18. def signature : String

    Signature is the signature of the name.

  19. def size : Int

  20. def synchronized [T0] (arg0: ⇒ T0): T0

    Attributes
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  21. def toString (): String

    Returns this.

    Returns this.name.

    Definition Classes
    Dataset → AnyRef → Any
  22. def wait (): Unit

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  23. def wait (arg0: Long, arg1: Int): Unit

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  24. def wait (arg0: Long): Unit

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