datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pii-masking-300k
👉 Looking for the newest release? The current flagship is ai4privacy/pii-masking-openpii-1.5m. 1.6M samples, 30 languages, 19 PII classes, Asia Pacific extension.?** The current flagship is ai4privacy/pii-masking-openpii-1m. 1.4M samples, 23 languages, 19 PII classes.
Purpose and Features
🌍 World's largest open dataset for privacy masking 🌎
The dataset is useful to train and evaluate models to remove personally identifiable and sensitive information from text, especially in… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pii-masking-300k.pii-masking-200k
👉 Looking for the newest release? The current flagship is ai4privacy/pii-masking-openpii-1.5m. 1.6M samples, 30 languages, 19 PII classes, Asia Pacific extension.?** The current flagship is ai4privacy/pii-masking-openpii-1m. 1.4M samples, 23 languages, 19 PII classes.
Ai4Privacy Community
Join our community at https://discord.gg/FmzWshaaQT to help build open datasets for privacy masking.
Purpose and Features
Previous world's largest open dataset for privacy.… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pii-masking-200k.pii-masking-openpii-1.5m
OpenPII 1.5M: Multilingual PII Masking Dataset (Asia Pacific Extension)
📖 More information: www.ai4privacy.com/datasets/pii-masking-3m-asia-pacific
Overview
The OpenPII 1.5M dataset extends OpenPII 1M
with a new Asia Pacific corpus, bringing global coverage to 30 languages
across Europe, Americas, and Asia Pacific.
This is the flagship release of the PII-Masking-3M family, the world's
largest open multilingual PII masking corpus. Built to advance open… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pii-masking-openpii-1.5m.pii-masking-openpii-1m
OpenPII 1M — Multilingual PII Masking Dataset
Overview
The OpenPII 1M dataset is a large-scale, multilingual collection of 1,428,143 synthetic text examples with fine-grained PII (Personally Identifiable Information) annotations, spanning 23 European languages and 19 entity types.
Built to advance open research in privacy-preserving NLP, this dataset enables the development and benchmarking of Named Entity Recognition (NER) models, token classification pipelines… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pii-masking-openpii-1m.gretel-pii-masking-en-v1
Gretel Synthetic Domain-Specific Documents Dataset (English)
This dataset is a synthetically generated collection of documents enriched with Personally Identifiable Information (PII) and Protected Health Information (PHI) entities spanning multiple domains.
Created using Gretel Navigator with mistral-nemo-2407 as the backend model, it is specifically designed for fine-tuning Gliner models.
The dataset contains document passages featuring PII/PHI entities from a wide range of… See the full description on the dataset page: https://huggingface.co/datasets/gretelai/gretel-pii-masking-en-v1.pii-masking-400k
👉 Looking for the newest release? The current flagship is ai4privacy/pii-masking-openpii-1.5m. 1.6M samples, 30 languages, 19 PII classes, Asia Pacific extension.?** The current flagship is ai4privacy/pii-masking-openpii-1m. 1.4M samples, 23 languages, 19 PII classes.
Purpose and Features
🌍 World's largest open dataset for privacy masking 🌎
The dataset is useful to train and evaluate models to remove personally identifiable and sensitive information from text, especially in… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pii-masking-400k.open-pii-masking-500k-ai4privacy
👉 Looking for the newest release? The current flagship is ai4privacy/pii-masking-openpii-1.5m. 1.6M samples, 30 languages, 19 PII classes, Asia Pacific extension.?** The current flagship is ai4privacy/pii-masking-openpii-1m. 1.4M samples, 23 languages, 19 PII classes.
🌍 World's largest open dataset for privacy masking 🌎
The dataset is useful to train and evaluate models to remove personally identifiable and sensitive information from text, especially in the context of AI… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/open-pii-masking-500k-ai4privacy.pii-masking-65k
👉 Looking for the newest release? The current flagship is ai4privacy/pii-masking-openpii-1.5m. 1.6M samples, 30 languages, 19 PII classes, Asia Pacific extension.?** The current flagship is ai4privacy/pii-masking-openpii-1m. 1.4M samples, 23 languages, 19 PII classes.
Purpose and Features
The purpose of the model and dataset is to remove personally identifiable information (PII) from text, especially in the context of AI assistants and LLMs.
The model is a fine-tuned version… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pii-masking-65k.privacy-filter-openpii-masking
1. Overview
privacy-filter-openpii-masking is a Korean and English entity-detection dataset for fine-tuning token-classification models. It is derived from ai4privacy/pii-masking-openpii-1.5m, relabeled to a 29-label taxonomy, and supplemented with statically authored or contextualized financial, customer-service/VOC, security, identity, and infrastructure scenarios.
The dataset provides entity annotations rather than application-specific redaction output. masked_text replaces… See the full description on the dataset page: https://huggingface.co/datasets/BCCard/privacy-filter-openpii-masking.pii-masking-benchmark
🎭 PIIMB: PII Masking Benchmark
PIIMB measures zero-shot PII masking: a model's ability to mask any PII out-of-the-box, without fine-tuning or label customization.
We designed its evaluation to be character-based and label-agnostic (more details below).
This is an attempt to reflect the most common deployment scenarios where users need broad coverage across document and entity types with no downstream customization (e.g general privacy or data protection).
For specialised use… See the full description on the dataset page: https://huggingface.co/datasets/piimb/pii-masking-benchmark.pii-masking-200k
Purpose and Features
World's largest open source privacy dataset.
The purpose of the dataset is to train models to remove personally identifiable information (PII) from text, especially in the context of AI assistants and LLMs.
The example texts have 54 PII classes (types of sensitive data), targeting 229 discussion subjects / use cases split across business, education, psychology and legal fields, and 5 interactions styles (e.g. casual conversation, formal document, emails… See the full description on the dataset page: https://huggingface.co/datasets/Isotonic/pii-masking-200k.snakeaid-yolov12-300-masking
SnakeAid YOLOv12 300 Masking
Dataset Summary
This repository contains a YOLO-format SnakeAid object-detection dataset for snake detection experiments. It is organized as image/label pairs across train, valid, test splits and is intended for training or evaluating YOLO-family detectors, including the related SnakeAid Detect YOLOv12 checkpoints linked below.
Safety note: snake detection can be safety-critical in real-world use. Treat model outputs trained on this data as… See the full description on the dataset page: https://huggingface.co/datasets/the-khiem7/snakeaid-yolov12-300-masking.sft-ultra_positive_step-metrics_label-maskingsft-ultra_negative_step-metrics_label-maskingpii-masking-health-phi-preview
👉 Looking for the newest release? The current flagship is ai4privacy/pii-masking-openpii-1.5m. 1.6M samples, 30 languages, 19 PII classes, Asia Pacific extension.?** The current flagship is ai4privacy/pii-masking-openpii-1m. 1.4M samples, 23 languages, 19 PII classes.
PII Masking Personal Health & Medical Information (PHI) — Preview
50 sample entries from the PII-Masking-2M European release by AI4Privacy.
Source text and PII values are redacted in this preview. Contact us… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pii-masking-health-phi-preview.pii-masking-mini-10k
PII Masking Mini: Multilingual Sample
A mini-sized stratified sample of pii-masking-openpii-1.5m,
the flagship release of the PII-Masking-3M family. Sampled proportionally by
(source_dataset, language) so every locale and label gets representation.
Asia Pacific rows appear first.
📖 More information: www.ai4privacy.com/datasets/pii-masking-3m-asia-pacific
Dataset Details
Total Examples
Train
Validation
Labels
Languages
Regions
Annotations
Format… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pii-masking-mini-10k.pii-masking-micro-100k
PII Masking Micro: Multilingual Sample
A micro-sized stratified sample of pii-masking-openpii-1.5m,
the flagship release of the PII-Masking-3M family. Sampled proportionally by
(source_dataset, language) so every locale and label gets representation.
Asia Pacific rows appear first.
📖 More information: www.ai4privacy.com/datasets/pii-masking-3m-asia-pacific
Dataset Details
Total Examples
Train
Validation
Labels
Languages
Regions
Annotations
Format… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pii-masking-micro-100k.openpii-masking-nano-1k
OpenPII Nano: Multilingual PII Masking Sample
A nano-sized stratified sample of OpenPII 1.5M,
perfect for quick prototyping, smoke tests, and CI fixtures. Every locale and every
label that exists in the parent dataset is represented in proportion.
📖 More information: www.ai4privacy.com/datasets/pii-masking-3m-asia-pacific
Dataset Details
Total Examples
Train
Validation
Labels
Languages
Regions
Annotations
Format
License
1,000
900
100
19
30
37
7… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/openpii-masking-nano-1k.openpii-masking-micro-100k
OpenPII Micro: Multilingual PII Masking Sample
A micro-sized stratified sample of OpenPII 1.5M,
perfect for quick prototyping, smoke tests, and CI fixtures. Every locale and every
label that exists in the parent dataset is represented in proportion.
📖 More information: www.ai4privacy.com/datasets/pii-masking-3m-asia-pacific
Dataset Details
Total Examples
Train
Validation
Labels
Languages
Regions
Annotations
Format
License
100,000
90,000
10,000
19… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/openpii-masking-micro-100k.repro-causal-jepa-learning-world-models-through-object-level-latent-masking-traces
Agent traces
Agent sessions published from a Trackio Logbook.
pii-masking-financial-pfi-preview
👉 Looking for the newest release? The current flagship is ai4privacy/pii-masking-openpii-1.5m. 1.6M samples, 30 languages, 19 PII classes, Asia Pacific extension.?** The current flagship is ai4privacy/pii-masking-openpii-1m. 1.4M samples, 23 languages, 19 PII classes.
PII Masking Personal Financial Information (PFI) — Preview
50 sample entries from the PII-Masking-2M European release by AI4Privacy.
Source text and PII values are redacted in this preview. Contact us for full… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pii-masking-financial-pfi-preview.pii-masking-nano-1k
PII Masking Nano: Multilingual Sample
A nano-sized stratified sample of pii-masking-openpii-1.5m,
the flagship release of the PII-Masking-3M family. Sampled proportionally by
(source_dataset, language) so every locale and label gets representation.
Asia Pacific rows appear first.
📖 More information: www.ai4privacy.com/datasets/pii-masking-3m-asia-pacific
Dataset Details
Total Examples
Train
Validation
Labels
Languages
Regions
Annotations
Format… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pii-masking-nano-1k.pli-masking-100k
👉 Looking for the newest release? The current flagship is ai4privacy/pii-masking-openpii-1.5m. 1.6M samples, 30 languages, 19 PII classes, Asia Pacific extension.?** The current flagship is ai4privacy/pii-masking-openpii-1m. 1.4M samples, 23 languages, 19 PII classes.
EPII Personal Location Information (PLI) Masking Preview Dataset
Overview
This dataset provides a preview (400 samples) of the EPII Personal Location Information (PLI) Masking Dataset, a… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pli-masking-100k.pii-masking-200k
👉 Looking for the newest release? The current flagship is ai4privacy/pii-masking-openpii-1.5m. 1.6M samples, 30 languages, 19 PII classes, Asia Pacific extension.?** The current flagship is ai4privacy/pii-masking-openpii-1m. 1.4M samples, 23 languages, 19 PII classes.
Ai4Privacy Community
Join our community at https://discord.gg/FmzWshaaQT to help build open datasets for privacy masking.
Purpose and Features
Previous world's largest open dataset for privacy.… See the full description on the dataset page: https://huggingface.co/datasets/ASR2005Bluesnow/pii-masking-200k.openpii-masking-mini-10k
OpenPII Masking Mini 10K
A compact, stratified subset of ai4privacy/pii-masking-openpii-1m, containing 10,000 samples for rapid experimentation, fine-tuning, and benchmarking of PII detection and masking models.
Sampling Methodology
Samples were selected using proportional stratified sampling by language:
Target count per language = round(lang_proportion × 10,000) — proportional representation.
Streaming + reservoir sampling collected 3× the target candidates per… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/openpii-masking-mini-10k.pii-masking-openpii-finance
1. Overview
Korean·English financial-domain PII detection dataset for fine-tuning token-classification models, derived from ai4privacy/pii-masking-openpii-1.5m and re-labeled to an 18-class policy taxonomy, then augmented with synthetic finance/card/bank/insurance/security context. Every PII value is synthetic - either invalidated by construction or inherited from the synthetic ai4privacy corpus - so no real personal data is present (see Synthetic-Data Safety).
1.1.… See the full description on the dataset page: https://huggingface.co/datasets/ahuseynli-17683/pii-masking-openpii-finance.pdi-masking-100k
👉 Looking for the newest release? The current flagship is ai4privacy/pii-masking-openpii-1.5m. 1.6M samples, 30 languages, 19 PII classes, Asia Pacific extension.?** The current flagship is ai4privacy/pii-masking-openpii-1m. 1.4M samples, 23 languages, 19 PII classes.
EPII Personal Digital Information (PDI) Masking Preview Dataset
Overview
This dataset provides a preview (400 samples) of the EPII Personal Digital Information (PDI) Masking Dataset, a specialized… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pdi-masking-100k.pii-masking-400k
Purpose and Features
🌍 World's largest open dataset for privacy masking 🌎
The dataset is useful to train and evaluate models to remove personally identifiable and sensitive information from text, especially in the context of AI assistants and LLMs.
AI4Privacy Dataset Analytics 📊
Dataset Overview
Total entries: 406,896
Total tokens: 20,564,179
Total PII tokens: 2,357,029
Number of PII classes in public dataset: 17
Number of PII classes in extended dataset:… See the full description on the dataset page: https://huggingface.co/datasets/Ganasekhar/pii-masking-400k.pii-masking-digital-pdi-preview
👉 Looking for the newest release? The current flagship is ai4privacy/pii-masking-openpii-1.5m. 1.6M samples, 30 languages, 19 PII classes, Asia Pacific extension.?** The current flagship is ai4privacy/pii-masking-openpii-1m. 1.4M samples, 23 languages, 19 PII classes.
PII Masking Personal Digital Information (PDI) — Preview
50 sample entries from the PII-Masking-2M European release by AI4Privacy.
Source text and PII values are redacted in this preview. Contact us for full… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pii-masking-digital-pdi-preview.pii-masking-60k_fr
PII French dataset
This PII French dataset is based on the World's largest open-source privacy dataset: ai4privacy/pii-masking-200k. The original dataset ai4privacy/pii-masking-200k was filtered out, using a BERT-based language classifier, to keep only French rows.
This dataset was created solely for educational purposes.
For more information, please refer to the dataset ai4privacy/pii-masking-200k.