Update README.md

README.md

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 language:
 - en
 pretty_name: PHORECAST
----
+---
+# Dataset Card for PHORECAST
+
+<!-- Provide a quick summary of the dataset. -->
+
+PHORECAST (Public Health Outreach REceptivity and CAmpaign Signal Tracking) is a multimodal dataset curated to enable fine-grained prediction of both individual-level behavioral responses and community-wide engagement patterns to health messaging. 
+The dataset maps the characteristics of diverse individuals onto their reactions from interacting with health marketing content.
+
+## Dataset Details
+
+### Dataset Description
+
+Each participant:
+
+1. Profiled Background – demographics, Big Five traits, locus of control, baseline health opinions.
+
+2. Reviewed Campaigns – free-text and Likert-scale reactions to five curated campaigns.
+
+Campaigns span seven categories:Nutrition & Diabetes, Vaccination / HIV / AIDS, Mental Health, Substance Abuse, Sexual Practices, COPD / Smoking, Chronic Diseases (e.g., Heart Disease, Cystic Fibrosis, Arthritis) and are annotated with target behavior, target population, and message type (Informative, Persuasive-Efficacy, Persuasive-Threat).
+
+- **Curated by:** Researchers from the University of Maryland, College Park.
+<!-- - **Funded by [optional]:** [More Information Needed] -->
+<!-- - **Shared by [optional]:** [More Information Needed] -->
+- **Language(s) (NLP):** English
+- **License:** The dataset is available under the Creative Commons NonCommercial (CC BY-NC 4.0).
+
+<!-- ### Dataset Sources [optional]
+
+<!-- Provide the basic links for the dataset. -->
+
+<!-- - **Repository:** [More Information Needed] -->
+<!-- - **Paper [optional]:** [More Information Needed] -->
+<!-- - **Demo [optional]:** [More Information Needed] -->
+
+## Uses
+The Dataset is provided for the purpose of research and educational use in the field of natural language processing, conversational agents, social science and related areas; and can be used to develop or evaluate artificial intelligence, including Large Vision Language Models (VLMs).
+
+### Direct Use
+
+Evaluate vision-language models, study variability in campaign receptivity, guide health message design.
+
+
+### Out-of-Scope Use
+
+The dataset should not be used for applications requiring verified factual accuracy, critical decision-making, or any malicious or unethical activities.
+
+
+## Dataset Structure
+
+Each row consists of an individual's reaction (both numerical and te to one public health campaign, alongside their demographic and personality information. 
+
+## Dataset Creation
+
+### Curation Rationale
+The PHORECAST dataset aims to map real human profiles (demographics, personality, and locus of control) to their responses / reactions from interacting with various public health campaigns. The primary purpose is for academic research to study how different people interact with stimuli and simulate how and why different communities respond differently to visuals. The results will be used to build an AI simulator that can mimic real world communities. 
+
+[More Information Needed]
+
+### Source Data
+
+<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+
+#### Data Collection and Processing
+
+All collection and processing stages were done using Python. More information can be found in the paper and on our github.  
+
+[More Information Needed]
+
+#### Who are the source data producers?
+
+Correspondence to rqadri@umd.edu 
+
+[More Information Needed]
+
+### Annotations [optional]
+
+<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
+
+#### Annotation process
+
+<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+<!-- This section describes the people or systems who created the annotations. -->
+
+[More Information Needed]
+
+#### Personal and Sensitive Information
+
+<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+The dataset is primarily in English, limiting global applicability of our method. 
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+<!-- ## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
+
+[More Information Needed] -->
+
+<!-- ## More Information [optional]
+
+[More Information Needed] -->
+
+<!-- ## Dataset Card Authors [optional]
+
+[More Information Needed] -->
+
+## Dataset Card Contact
+
+[More Information Needed]