datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pii_benchmark
Russian PII NER Evaluation Dataset
Dataset Description
This dataset is designed for evaluating PII (Personally Identifiable
Information) detection and Named Entity Recognition (NER) systems on
Russian-language text. It targets guardrail and anonymization pipelines that
must reliably find personal data (names, addresses, contacts) and Russian
identity-document numbers (passport, SNILS, INN, OMS, etc.) in text.
The test set combines real, manually annotated examples… See the full description on the dataset page: https://huggingface.co/datasets/redmadrobot-rnd/pii_benchmark.ManCAR
Amazon Reviews 2023 (7 Categories, Post-processed)
Overview
This dataset is a curated and post-processed subset of Amazon Reviews 2023.
We select 7 product categories and apply a standard preprocessing pipeline widely used in sequential recommendation research.
We adopt the official absolute-timestamp split provided by the corpus.
Included Categories
CDs_and_Vinyl
Video_Games
Toys_and_Games
Musical_Instruments
Grocery_and_Gourmet_Food
Arts_Crafts_and_Sewing… See the full description on the dataset page: https://huggingface.co/datasets/PIIR/ManCAR.pii_train
Russian PII NER Training Dataset
Dataset Description
This is the training corpus for PII (Personally Identifiable Information)
detection and Named Entity Recognition (NER) on Russian-language text. It
targets guardrail and anonymization pipelines that must reliably find personal
data (names, addresses, contacts) and Russian identity-document numbers
(passport, SNILS, INN, OMS, etc.) in text.
The corpus combines real, manually annotated examples from production… See the full description on the dataset page: https://huggingface.co/datasets/redmadrobot-rnd/pii_train.KGD-dataset
Amazon Reviews 2023 (8 Categories, KGD Preprocessed)
Paper | Code | Original Source
Overview
This dataset provides the preprocessed data used to train and evaluate KGD (Knowledge–Geometry Decoupling) with ManCAR as the backbone. It is a curated subset of Amazon Reviews 2023 covering 8 product categories, and ships not only the interaction splits but also the auxiliary signals required by KGD:
ready-to-train user interaction sequences (train/valid/test);… See the full description on the dataset page: https://huggingface.co/datasets/PIIR/KGD-dataset.pii-extractionThis dataset can be used for benchmarking LLM Structured Outputs via the code here:
https://github.com/cleanlab/structured-output-benchmark/
arxiv-pii
ArXiv PII
Personally Identifiable Information (PII) from ArXiv front pages.
The dataset contains:
first pages of ArXiv PDFs converted to text
author related labels: NAME, EMAIL, PHONE
Available splits and data statistics:
split
pages
NAME
EMAIL
PHONE
2312
1749
9871
3993
39
2401
1312
7477
3039
36
Usage
ds_pages = load_dataset("sorokin/arxiv-pii", "pages", split="2312")
ds_labels = load_dataset("sorokin/arxiv-pii", "labels", split="2312")… See the full description on the dataset page: https://huggingface.co/datasets/sorokin/arxiv-pii.PII-NERDataset Card for NER PII Extraction Dataset
Dataset Summary
This dataset is designed for training and evaluating Named Entity Recognition (NER) models focused on extracting Personally Identifiable Information (PII) from text. It includes a variety of entities such as names, addresses, phone numbers, email addresses, and identification numbers. The dataset is suitable for tasks that involve PII detection, compliance checks, and data anonymization.
Supported Tasks and Leaderboards
Named Entity… See the full description on the dataset page: https://huggingface.co/datasets/Josephgflowers/PII-NER.turkish-pii-masking-benchmark
Turkish PII Masking Benchmark (1,000 test cases)
A hand-built, fully synthetic benchmark for evaluating instruction-conditional PII masking
in Turkish. Designed to stress-test small LLMs (0.3B-1B) fine-tuned for privacy filtering in
banking/ERP user messages. All values are synthetic (no real persons); all sentence patterns
were written specifically for this benchmark (no training-set overlap).
Task
Given instruction (the masking policy) and input, the model must… See the full description on the dataset page: https://huggingface.co/datasets/cagrigungor/turkish-pii-masking-benchmark.NinjaMasker-PII-Redaction-Datasetdataset-no-pii-toolClinical_PII_Redaction_Testpiimask-hackathon
mysqlclient
This project is a fork of MySQLdb1.
This project adds Python 3 support and fixed many bugs.
PyPI: https://pypi.org/project/mysqlclient/
GitHub: https://github.com/PyMySQL/mysqlclient
Support
Do Not use Github Issue Tracker to ask help. OSS Maintainer is not free tech support
When your question looks relating to Python rather than MySQL:
Python mailing list python-list
Slack pythondev.slack.com
Or when you have question about MySQL:
MySQL Community on… See the full description on the dataset page: https://huggingface.co/datasets/arychaud/piimask-hackathon.dataset-pii-toolPIITESTCustomer_Service_Synthetic_1pii_codeprompt_response_1K_PIIS_completesovereign-pii-detection-v1
🛡️ Sovereign PII Detection Dataset (v1.0)
Maintainer: Cata Risk Lab | Project: Wattle Guard
🌍 Dataset Summary
This synthetic dataset contains labeled examples of Sovereign Identity Markers specific to the Swiss, UK, and Australian jurisdictions. It is designed to train and benchmark the Wattle Guard redaction engine, ensuring compliance with cross-border data protection laws (nFADP, UK GDPR, Privacy Act 1988).
Unlike generic PII datasets that focus on US data (SSN)… See the full description on the dataset page: https://huggingface.co/datasets/Cata-Risk-Lab/sovereign-pii-detection-v1.sovereign-pii-detection-v1
🛡️ Sovereign PII Detection Dataset (v1.0)
Maintainer: Cata Risk Lab | Project: Wattle Guard
🌍 Dataset Summary
This synthetic dataset contains labeled examples of Sovereign Identity Markers specific to the Swiss, UK, and Australian jurisdictions. It is designed to train and benchmark the Wattle Guard redaction engine, ensuring compliance with cross-border data protection laws (nFADP, UK GDPR, Privacy Act 1988).
Unlike generic PII datasets that focus on US data (SSN)… See the full description on the dataset page: https://huggingface.co/datasets/shivaniachary123/sovereign-pii-detection-v1.PII-DatasetThis Dataset was created using Gemini api using the kaggle notebook : https://www.kaggle.com/code/newtonbaba12345/pii-detection-data-generation-using-gemini
PII_FInal
Multi-Text PII Classifier Dataset
A document-level PII (Personally Identifiable Information) classification dataset with 26 classes, built for fine-tuning microsoft/deberta-v3-small. The pipeline combines three source datasets, applies hierarchical rule-based label assignment, and produces a unified labeled dataset for training a multi-class text classifier.
Task Overview
Goal: Classify a given text document into one of 26 PII sensitivity categories based on the type… See the full description on the dataset page: https://huggingface.co/datasets/Robost-AI/PII_FInal.pii-detection-corpus
PII Detection Corpus
Synthetic dataset of text samples containing labeled PII (Personally Identifiable Information) for testing and benchmarking PII detection/scrubbing tools.
Fields
text: Text sample containing PII
pii_type: Category of PII (email, phone, ssn, credit_card, ip, dob, address, passport, api_key, name, iban)
pii_value: The exact PII string in the text
start: Character offset start
end: Character offset end
context: Surrounding context category (medical… See the full description on the dataset page: https://huggingface.co/datasets/shivaniachary123/pii-detection-corpus.prompt-optimization-pii-masking-2k
🚀 Hugging Face Dataset Plan: PROMPT_OPTIMIZATION & PII_MASKING
This dataset focuses on two core areas critical for modern enterprise applications: Prompt Engineering (Token/Jargon Efficiency) and Sensitive Data Management (PII Masking).
1. Dataset Title (Repository Name)
Hugging Face titles should be short, descriptive, and task-oriented. Using an English, jargon-rich name is recommended to target the international NLP/LLM community.
Category
Suggestions… See the full description on the dataset page: https://huggingface.co/datasets/touching-machines/prompt-optimization-pii-masking-2k.pii-maskingSynthetic-PIISynthetic-PII/
├── README.md
├── Llama2-19_th0.5.csv
├── Llama3-19_th0.5.csv
└── Zephyr-19_th0.5.csv
pii-detection-corpus
PII Detection Corpus
Synthetic dataset of text samples containing labeled PII (Personally Identifiable Information) for testing and benchmarking PII detection/scrubbing tools.
Fields
text: Text sample containing PII
pii_type: Category of PII (email, phone, ssn, credit_card, ip, dob, address, passport, api_key, name, iban)
pii_value: The exact PII string in the text
start: Character offset start
end: Character offset end
context: Surrounding context category (medical… See the full description on the dataset page: https://huggingface.co/datasets/zachz/pii-detection-corpus.meddies-pii-testeval-gliner2-pii-500k-setPII-Dataset-English-43K
To Download Full Dataset(43K Data Samples)
https://we.tl/p-AJoHe33ptc
Named Entity Recognition (NER) Dataset
This repository contains a dataset for Named Entity Recognition (NER) tasks, focusing on identifying various types of entities in textual data.
Dataset Summary
The dataset is designed to help train and evaluate models for recognizing and classifying entities in text. The entities are labeled with different tags such as names, dates, email addresses… See the full description on the dataset page: https://huggingface.co/datasets/ab-ai/PII-Dataset-English-43K.combined_emails_with_natural_pii.csv