#' Experiment 1 raw data (inferring preferences)
#'
#' This file contains the raw data from prior inference experiment.
#'
#' @docType data
#'
#' @format A data frame with the following columns:
#' \describe{
#' \item{workerid}{Participant's ID}
#'
#' \item{item}{Unique ID of a stimulus}
#'
#' \item{slide_number}{Indicates trial order.}
#'
#' \item{language}{Participant self-reported native language}
#'
#' \item{pref1-pref6}{The feature preference of the listener
#' ('red things', 'clouds', 'striped things', etc.).
#' It is the corresponding property that the participants are rating.}
#'
#' \item{response1-response6}{The value to which the slider (1-6) was adjusted
#' by the participant.
#' The corresponding property that they are rating is stored under pref1-6.
#' Can be in range 0-1.
#' The value indicates how much a listener likes objects with a particular property.
#' Small numbers mean less liked, larger numbers mean property is preferred.}
#'
#' \item{target, obj2, obj3}{A three-digit code referring to the object that
#' the speaker intends to signal by the utterance (target), or to one of the
#' other two objects present in the scene (obj2, obj3).
#' The first digit of the code refers to shape, the second digit to texture,
#' and the third digit to color of the object.
#'
#' \strong{1 Shape:} 1 cloud, 2 circle, 3 square
#'
#' \strong{2 Texture:} 1 solid, 2 striped, 3 polka-dotted
#'
#' \strong{3 Color:} 1 blue, 2 red, 3 green
#'
#' \strong{Example:} If the target is a solid blue square the code would be: 311.}
#'
#' \item{utterance}{Speaker’s utterance. A speaker chooses among the features present
#' in the scene. All possible utterances include: 'cloud', 'circle', 'square', 'solid',
#' 'striped', 'polka-dotted', 'blue', 'red', 'green'.}
#'
#' \item{itemCode}{A six-digit code that indicates to which category the item belongs.
#' The categorization takes into account how many objects the utterance could possibly
#' refer to, and what properties the target object shares with other objects in
#' the scene. Each category consists of 3 tuples of 2 digits and refers to one feature,
#' where the first tuple always refers to the uttered feature, other features
#' are ordered from most ambiguous to less ambiguous. The more objects share the
#' feature value of the target object, the more ambiguous the feature is.
#' In the example below feature 1 is color since the utterance is 'blue',
#' feature 2 is pattern since the target object shares its pattern (solid) with
#' two other objects. Feature 3 is shape since the target object shares its shape
#' only with one other object. Feature order determines the order of tuples.
#'
#' The first digit in each tuple would then denote how many objects share the value
#' of the picked object for the corresponding feature.
#' We also reordered the objects so that the picked object would be the first.
#' In the experiment, the target object could take any place in the sequence.
#'
#' \strong{Example:} solid blue square, solid blue circle, solid green square.
#'
#' \strong{Ambiguity class:} 213222.
#'
#' \strong{Utterance: 'blue'}
#'
#' \strong{Target object:} blue solid square
#'
#' \strong{How to read code:}
#'
#' \strong{First tuple: 21 (color)}
#'
#' 2: two objects (the target object + 1 more object) share color.
#'
#' 1: the target object shares color with the second object
#'
#' \strong{Second tuple: 32 (pattern)}
#'
#' 3: three objects share the pattern 'solid'.
#'
#' 2: the target object shared the pattern with 2nd and 3rd objects
#'
#' \strong{Third tuple 22 (shape)}
#'
#' 2: two objects (the target object + 1 more object) share shape.
#'
#' 2: the target object shares shape with the third object.
#'
#' The third object is not a possible competitor for being chosen,
#' since the utterance is 'blue', and the object is green.
#'
#' If a tuple starts with '3' or '1' the second digit would simply
#' denote whether the other objects have different values for that
#' feature or the same (See the second tuple above).
#' }
#'
#' \item{ambiguous}{Refers to whether the utterance of the speaker is ambiguous or not.
#'
#' \strong{Example:} In a scenario with a blue solid circle,
#' a blue striped square and a red polka-dotted cloud.
#' The utterance 'blue' is ambiguous.}
#' }
#'
#' @keywords datasets
"X4_rawData"
#' Experiment 2 raw data (epistemic utterance choice)
#'
#' This file contains the raw data from the utterance choice experiment.
#'
#' @docType data
#'
#' @format A data frame with the following columns:
#' \describe{
#' \item{workerid}{Participant's ID}
#'
#' \item{item}{Unique ID of a stimulus}
#'
#' \item{slide_number}{Indicates trial order.}
#'
#' \item{condition}{A six-digit code that infers to which category the item belongs.
#' In this experiment, it is only necessary to identify classes that have
#' potentially ambiguous utterances.}
#'
#' \item{language}{Participant self-reported native language}
#'
#' \item{pref1-pref9}{Utterance 1-9.}
#'
#' \item{response1- response9}{The value to which the slider (1-9) was adjusted
#' by the participant. Indicates how useful an utterance is for finding out
#' listener preferences. The corresponding property that they are rating is
#' stored under pref1-9. Can be in range 0-1.
#'
#' Small numbers mean less useful, larger numbers mean more useful.}
#'
#' \item{obj1, obj2, obj3}{A three-digit code referring to the object that the
#' speaker intends to signal by the utterance (obj1), or to one of the other
#' two objects present in the scene (obj2, obj3).
#'
#' The first digit of the code refers to shape, the second digit to texture,
#' and the third digit to color of the object.
#'
#' \strong{1 Shape:} 1 cloud, 2 circle, 3 square
#'
#' \strong{2 Texture:} 1 solid, 2 striped, 3 polka-dotted
#'
#' \strong{3 Color:} 1 blue, 2 red, 3 green
#'
#' \strong{Example:} If the target is a solid blue square the code would be: 311.}
#'
#' \item{ambiguous}{Marks whether a trial contains any ambiguous utterances.}
#'
#' \item{numFeatures}{The number of feature values present in a scene.
#'
#' For example, if we have 3 red objects, all of them solid, 1 square, 1 cloud,
#' 1 circle, then the number of features would be 5.
#'
#' Value in range 3-9.}
#' }
#'
#' @keywords datasets
"X3_rawData"
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