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)