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suchirsalhan/kidalign-llama-3.1-8B-Instruct

KidAlign: Llama-3.1-8B-Instruct Results This dataset contains synthetic survey responses generated by Llama-3.1-8B-Instruct under various demographic and personality conditions. Dataset Structure Each entry represents a full survey session. To filter by individual questions within the Hugging Face UI, use the Search bar or the Nested Field Explorer in the Dataset Viewer. Metadata Columns (Filters) Field Description condition.age_group The… See the full description on the dataset page: https://huggingface.co/datasets/suchirsalhan/kidalign-llama-3.1-8B-Instruct.

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Dataset Card

KidAlign: Llama-3.1-8B-Instruct Results

This dataset contains synthetic survey responses generated by Llama-3.1-8B-Instruct under various demographic and personality conditions.

Dataset Structure

Each entry represents a full survey session. To filter by individual questions within the Hugging Face UI, use the Search bar or the Nested Field Explorer in the Dataset Viewer.

Metadata Columns (Filters)

Field	Description
`condition.age_group`	The target age demographic (e.g., 25+).
`condition.personality_name`	The persona trait assigned (e.g., balanced).
`condition.gender`	The gender identity of the persona.
`condition.survey_id`	The type of survey (e.g., educator).

Response Data

The parsed_responses field is a list of objects. In the viewer, you can expand this list to see:

—Question Index: The specific ID of the question.
—Reason: The model's chain-of-thought or justification.
—Confidence: Self-reported confidence levels.

How to use the Filter

1.Navigate to the Dataset Viewer tab.
2.Use the Filter button at the top of the table.
3.Select condition.personality_name to compare how different personas answered.
4.To find specific questions, use the search function to look for "question_index": [X] within the parsed_responses column.

Citation

If you use this data, please cite the KidAlign project.