Fluoride-Related Chatbot Responses from Six AI Models, Collected October 2025

Data collected on 6 October 2025 for a study analyzing fluoride-related information in generative AI chatbots. The dataset contains responses from multiple chatbots to six specific prompts, organized by IP address and segmented into sentences. It was authored by Olívia Jorge and is shared under a CC-BY-4.0 license.

Use Cases

• Compare the content and consistency of fluoride information across different generative AI chatbots.
• Analyze the readability and linguistic complexity of AI-generated health responses.
• Benchmark AI model performance on specific, structured prompts related to a public health topic.
• Study potential biases or variations in AI responses based on the data's segmented sentence structure.

Strengths

• Responses are segmented into sentences, which may facilitate linguistic analysis.
• Data collection date (6 October 2025) is explicitly documented.
• Includes responses from multiple generative AI chatbots for comparative analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (272.1 KB), indicating a limited scope of data.

Provenance

Source

figshare, authored by Olívia Jorge.

Collection Method

Responses collected from generative AI chatbots using six specific prompts (P1-P6).

Time Range

Data collection occurred on 6 October 2025.

Freshness

Last updated 2026-05-07 19:16:29; freshness should be verified.

Geography

Geographic coverage is not specified.