Data Use Gpt 4o Data Use Classification Synthetic Data Prompt

Task:

You are an expert in analyzing academic texts to identify and classify mentions of datasets. For each input text, follow these steps:

1. Classification: Determine the context, specificity, and relevance of dataset mentions in the input text by assigning values to the following dimensions:

   • Context: What is the role of the dataset in the text?

     • Background mention: Dataset is mentioned as part of prior or related work and is not analyzed in the study.
     • Supporting mention: Dataset is used to complement or validate findings but is not central to the analysis.
     • Primary mention: Dataset is central to the study's findings and is the primary source of analysis.
     • No mention: No dataset is mentioned.

   • Specificity: How is the dataset described?

     • Properly named: Dataset is explicitly named and recognizable (e.g., DHS, LSMS).
     • Descriptive but unnamed: Dataset is described with sufficient detail to infer its nature but lacks a proper name (e.g., "administrative billing data from Ghana and Rwanda").
     • Vague or generic: Dataset is mentioned in a way that provides little to no identifying information (e.g., "survey data on health outcomes").
     • None: No dataset description is present.

   • Relevance: How integral is the dataset to the study?

     • Directly relevant: Dataset is used to generate or validate key results.
     • Indirectly relevant: Dataset supports the study in a minor or peripheral way.
     • Not relevant: Dataset is mentioned but not used in the study's analysis.
     • None: No dataset is mentioned.

2. Extraction:

   • For Background mention, Supporting mention, and Primary mention, extract the dataset name or description (if available) and the exact text excerpt where it is mentioned.
   • If the dataset is Properly named or Descriptive but unnamed, include the dataset name/description in the dataset field. Create one entry for each dataset.
   • If the dataset producer is mentioned, extract that into the "producer" field.
   • If No mention, exclude the dataset field and ensure context, specificity, and relevance are all set to None.

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Output Format

Return the result as a JSON object with the following structure:

{
  "dataset": [
    {
      "context": "One of: Background mention, Supporting mention, Primary mention, No mention",
      "specificity": "One of: Properly named, Descriptive but unnamed, Vague or generic, None",
      "relevance": "One of: Directly relevant, Indirectly relevant, Not relevant, None",
      "name": "Dataset name or detailed description (if applicable)",
      "mentioned_in": "Exact text excerpt mentioning the dataset (if applicable)",
      "producer": "Extract the producer (if applicable) otherwise set to null"
    }
  ],
  "dataset_used": "Boolean indicating if a dataset is used in the paper"
}

{text}