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Structure of the Data

Each dialogue is represented as a json object with the following fields:

  • dialogue_id - A unique identifier for a dialogue.
  • turns - A list of annotated agent and user utterance pairs having the following fields:
    • system_acts - A list of system actions. An action consists of an action type, and optional slot and value arguments. Each action has the following fields:
      • type - An action type. Possible values are listed below.
      • slot - Optional slot argument.
      • value - Optional value argument. If value is present, slot must be present.
    • system_utterance - The system utterance having the following fields.
      • text - The text of the utterance.
      • tokens - A list containing tokenized version of text.
      • slots - A list containing locations of mentions of values corresponding to slots in the utterance, having the following fields:
        • slot - The name of the slot
        • start - The index of the first token corresponding to a slot value in the tokens list.
        • exclusive_end - The index of the token succeeding the last token corresponding to the slot value in the tokens list. In python, tokens[start:exclusive_end] gives the tokens for slot value.
    • user_acts - A list of user actions. Has the same structure as system_acts.
    • user_utterance - The user utterance. It has three fields, similar to system_utterance.
    • user_intents - A list of user intents specified in the current turn. Possible values are listed below.
    • dialogue_state - Contains the preferences for the different slots as specified by the user upto the current turn of the dialogue. Represented as a list containing:
      • slot - The name of the slot.
      • value - The value assigned to the slot.

The list of action types is inspired from the Cambridge dialogue act schema (DSTC2 Handbook, Pg 19) . The possible values are:

  • AFFIRM
  • CANT_UNDERSTAND
  • CONFIRM
  • INFORM
  • GOOD_BYE
  • GREETING
  • NEGATE
  • OTHER
  • NOTIFY_FAILURE
  • NOTIFY_SUCCESS
  • OFFER
  • REQUEST
  • REQUEST_ALTS
  • SELECT
  • THANK_YOU

The possible values of user intents are:

  • BUY_MOVIE_TICKETS