README.md

---
dataset_info:
  features:
  - name: Unique ID
    dtype: string
  - name: Locale
    dtype: string
  - name: First Name
    dtype: string
  - name: Last Name
    dtype: string
  - name: Father's Name
    dtype: string
  - name: Mother's Name
    dtype: string
  - name: Gender
    dtype: string
  - name: Age
    dtype: string
  - name: Nationality
    dtype: string
  - name: Marital Status
    dtype: string
  - name: Spouse Name
    dtype: string
  - name: Children Count
    dtype: string
  - name: National ID
    dtype: string
  - name: Passport Number
    dtype: string
  - name: Driver's License
    dtype: string
  - name: Phone Number
    dtype: string
  - name: Work Phone
    dtype: string
  - name: Address
    dtype: string
  - name: Email Address
    dtype: string
  - name: Work Email
    dtype: string
  - name: Birth Date
    dtype: string
  - name: Birth City
    dtype: string
  - name: Education Info
    dtype: string
  - name: Finance Status
    dtype: string
  - name: Net Worth
    dtype: string
  - name: Employer
    dtype: string
  - name: Job Title
    dtype: string
  - name: Annual Salary
    dtype: string
  - name: Credit Score
    dtype: string
  - name: Social Media Handles
    dtype: string
  - name: Blood Type
    dtype: string
  - name: Allergies
    dtype: string
  - name: Disability
    dtype: string
  - name: Emergency Contact Name
    dtype: string
  - name: Emergency Contact Phone
    dtype: string
  - name: complete_info
    dtype: string
  splits:
  - name: train
    num_bytes: 435916125
    num_examples: 9674
  download_size: 150783980
  dataset_size: 435916125
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

---
# PANORAMA Plus: **Extra informationProfile-based Assemblage for Naturalistic Online Representation and Attribute Memorization Analysis**

A Synthetic PII-Laced Dataset for Studying Sensitive Data Memorization in LLMs
---

## Dataset Summary

PANORAMA is a large-scale, fully synthetic dataset comprising 384,789 samples derived from 9,674 internally consistent synthetic profiles. The dataset closely emulates the distribution, variety, and context of personally identifiable information (PII) and other sensitive data as it naturally occurs in online environments. Each sample is generated using a combination of prompt engineering and reasoning LLMs, spanning diverse content types such as wiki-style articles, social media posts, forum discussions, online reviews, comments, and marketplace listings.

PANORAMA is designed for systematically studying the memorization of sensitive information by large language models (LLMs) and for evaluating privacy-preserving strategies.

PANORAMA Plus contains more details on PANORAMA dataset released by us, use the unique ID field to connect back with PANORAMA dataset.
---

## Attribution

Created by Sriram Selvam and Anneswa Ghosh.

If you use this dataset, please cite:
## Citation
```
@article{selvam2025panorama,
  title={PANORAMA: A synthetic PII-laced dataset for studying sensitive data memorization in LLMs},
  author={Selvam, Sriram and Ghosh, Anneswa},
  journal={arXiv preprint arXiv:2505.12238},
  year={2025}
}

```

---
## License
Creative Commons Attribution 4.0 International (CC BY 4.0)