Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Tags:
pii-detection
License:
metadata
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 100K<n<200K
- 300K<n<400K
task_categories:
- token-classification
task_ids:
- named-entity-recognition
tags:
- pii-detection
train-eval-index:
- config: privy-small
task: token-classification
task_id: entity_extraction
splits:
train_split: train
eval_split: test
metrics:
- type: seqeval
name: seqeval
pretty_name: Privy English
Dataset Card for "privy-english"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
Dataset Summary
A synthetic PII dataset generated using Privy, a tool which parses OpenAPI specifications and generates synthetic request payloads, searching for keywords in API schema definitions to select appropriate data providers. Generated API payloads are converted to various protocol trace formats like JSON and SQL to approximate the data developers might encounter while debugging applications.
This labelled PII dataset consists of protocol traces (JSON, SQL (PostgreSQL, MySQL), HTML, and XML) generated from OpenAPI specifications and includes 60+ PII types.
Supported Tasks and Leaderboards
Named Entity Recognition (NER) and PII classification.
Label Scheme
View label scheme (26 labels for 60 PII data providers)
| Component | Labels |
|---|---|
ner |
PERSON, LOCATION, NRP, DATE_TIME, CREDIT_CARD, URL, IBAN_CODE, US_BANK_NUMBER, PHONE_NUMBER, US_SSN, US_PASSPORT, US_DRIVER_LICENSE, IP_ADDRESS, US_ITIN, EMAIL_ADDRESS, ORGANIZATION, TITLE, COORDINATE, IMEI, PASSWORD, LICENSE_PLATE, CURRENCY, ROUTING_NUMBER, SWIFT_CODE, MAC_ADDRESS, AGE |
Languages
English
Dataset Structure
Data Instances
A sample:
{
"full_text": "{\"full_name_female\": \"Bethany Williams\", \"NewServerCertificateName\": \"\", \"NewPath\": \"\", \"ServerCertificateName\": \"dCwMNqR\", \"Action\": \"\", \"Version\": \"u zNS zNS\"}",
"masked": "{\"full_name_female\": \"{{name_female}}\", \"NewServerCertificateName\": \"{{string}}\", \"NewPath\": \"{{string}}\", \"ServerCertificateName\": \"{{string}}\", \"Action\": \"{{string}}\", \"Version\": \"{{string}}\"}",
"spans": [
{
"entity_type": "PERSON",
"entity_value": "Bethany Williams",
"start_position": 22,
"end_position": 38
}
],
"template_id": 51889,
"metadata": null
}
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
@online{WinNT,
author = {Benjamin Kilimnik},
title = {{Privy} Synthetic PII Protocol Trace Dataset},
year = 2022,
url = {https://huggingface.co/datasets/beki/privy},
}