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AMAMMERε Overview

The AMAMMERε Dataset delves into the subtle cultural biases present in common sense reasoning datasets, highlighting predominantly Western or U.S.-centric perspectives. By comparing cultural commonsense reasoning between Ghana (representing a low-resource language group) and the USA, this dataset shows the differences in daily activities such as shopping, meal planning, and transportation across these distinct cultural contexts.

Highlights:

525 Questions: Curated from existing commonsense datasets and adapted to reflect Ghanaian and U.S. cultural settings, emphasizing cultural disparities.

Multiple Formats: Available in CSV, Excel, and JSONL formats

Validated Annotations: Reviewed by human annotators from both the USA and Ghana to ensure accuracy and cultural relevance.

Find comprehensive details in our paper.

Dataset Structure:

An example from our AMAMMERε dataset is shown:

{
  "ID": "137-5-2-GH",
  "Context": "Saving medium for coins.",
  "Question": "Where will my kid put their pesewas in their room?",
  "Option A": "A piggy bank",
  "Option B": "A susu box",
  "Option C": "A wishing well",
  "Option D": "An asanka",
  "Answer Key": "B",
  "Answer Text": "A susu box",
  "Country": "Ghana",
  "Type": "Implicit",
  "Dimension": "Social customs and Lifestyle"
}

ID: Unique identifier for the question.

Context: Scenario or premise of the question.

Question: The question text.

Options (A-D): Multiple-choice options.

Answer Key: Correct option number, if applicable.

Answer Text: Full text of the correct answer, when available.

Country: The primary country or cultural context of the question.

Type: Classification of the question as explicit or implicit in cultural context.

Dimension: The subject area or theme of the question.

OriginalDatasetID/SetNumber/QuestionNumber: Metadata tracking the question's origin.

DatasetOrigin: The specific original dataset from which the question was derived.

For any issues regarding access, please contact [acquayechristabel@gmail.com].

AMAMMERε © 2024 is licensed under CC BY 4.0

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