Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Tags:
pii-detection
License:
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
import csv | |
import json | |
import os | |
import datasets | |
_DESCRIPTION="This labelled PII dataset consists of protocol traces (JSON, SQL (PostgreSQL, MySQL), HTML, and XML) generated from OpenAPI specifications and includes 60+ PII types." | |
_CITATION=""" | |
@online{WinNT, | |
author = {Benjamin Kilimnik}, | |
title = {{Privy} Synthetic PII Protocol Trace Dataset}, | |
year = 2022, | |
url = {https://huggingface.co/datasets/beki/privy}, | |
} | |
""" | |
_HOMEPAGE = "https://github.com/pixie-io/pixie/tree/main/src/datagen/pii/privy/privy" | |
_LICENSE = "MIT" | |
_URL = "https://huggingface.co/datasets/beki/privy/resolve/main/privy-dataset.zip" | |
class Privy(datasets.GeneratorBasedBuilder): | |
VERSION = datasets.Version("1.0.0") | |
# You will be able to load one or the other configurations in the following list with | |
# data = datasets.load_dataset('my_dataset', 'first_domain') | |
# data = datasets.load_dataset('my_dataset', 'second_domain') | |
BUILDER_CONFIGS = [ | |
datasets.BuilderConfig(name="small", version=VERSION, description="Privy small"), | |
datasets.BuilderConfig(name="large", version=VERSION, description="Privy large"), | |
] | |
DEFAULT_CONFIG_NAME = "small" | |
def _info(self): | |
if self.config.name == "large": | |
features = datasets.Features( | |
{ | |
"full_text": datasets.Value("string"), | |
"masked": datasets.Value("string"), | |
"spans": datasets.Sequence(datasets.Value("string")), | |
"tags": datasets.Sequence( | |
datasets.features.ClassLabel( | |
names=[ | |
"O", | |
"B-O", | |
"I-O", | |
"L-O", | |
"U-O", | |
"B-PERSON", | |
"I-PERSON", | |
"L-PERSON", | |
"U-PERSON", | |
"B-LOCATION", | |
"I-LOCATION", | |
"L-LOCATION", | |
"U-LOCATION", | |
"B-ORGANIZATION", | |
"I-ORGANIZATION", | |
"L-ORGANIZATION", | |
"U-ORGANIZATION", | |
"B-NRP", | |
"I-NRP", | |
"L-NRP", | |
"U-NRP", | |
"B-DATE_TIME", | |
"I-DATE_TIME", | |
"L-DATE_TIME", | |
"U-DATE_TIME", | |
"B-CREDIT_CARD", | |
"I-CREDIT_CARD", | |
"L-CREDIT_CARD", | |
"U-CREDIT_CARD", | |
"B-URL", | |
"I-URL", | |
"L-URL", | |
"U-URL", | |
"B-IBAN_CODE", | |
"I-IBAN_CODE", | |
"L-IBAN_CODE", | |
"U-IBAN_CODE", | |
"B-US_BANK_NUMBER", | |
"I-US_BANK_NUMBER", | |
"L-US_BANK_NUMBER", | |
"U-US_BANK_NUMBER", | |
"B-PHONE_NUMBER", | |
"I-PHONE_NUMBER", | |
"L-PHONE_NUMBER", | |
"U-PHONE_NUMBER", | |
"B-US_SSN", | |
"I-US_SSN", | |
"L-US_SSN", | |
"U-US_SSN", | |
"B-US_PASSPORT", | |
"I-US_PASSPORT", | |
"L-US_PASSPORT", | |
"U-US_PASSPORT", | |
"B-US_DRIVER_LICENSE", | |
"I-US_DRIVER_LICENSE", | |
"L-US_DRIVER_LICENSE", | |
"U-US_DRIVER_LICENSE", | |
"B-US_LICENSE_PLATE", | |
"I-US_LICENSE_PLATE", | |
"L-US_LICENSE_PLATE", | |
"U-US_LICENSE_PLATE", | |
"B-IP_ADDRESS", | |
"I-IP_ADDRESS", | |
"L-IP_ADDRESS", | |
"U-IP_ADDRESS", | |
"B-US_ITIN", | |
"I-US_ITIN", | |
"L-US_ITIN", | |
"U-US_ITIN", | |
"B-EMAIL_ADDRESS", | |
"I-EMAIL_ADDRESS", | |
"L-EMAIL_ADDRESS", | |
"U-EMAIL_ADDRESS", | |
"B-TITLE", | |
"I-TITLE", | |
"L-TITLE", | |
"U-TITLE", | |
"B-COORDINATE", | |
"I-COORDINATE", | |
"L-COORDINATE", | |
"U-COORDINATE", | |
"B-IMEI", | |
"I-IMEI", | |
"L-IMEI", | |
"U-IMEI", | |
"B-PASSWORD", | |
"I-PASSWORD", | |
"L-PASSWORD", | |
"U-PASSWORD", | |
"B-LICENSE_PLATE", | |
"I-LICENSE_PLATE", | |
"L-LICENSE_PLATE", | |
"U-LICENSE_PLATE", | |
"B-CURRENCY", | |
"I-CURRENCY", | |
"L-CURRENCY", | |
"U-CURRENCY", | |
"B-FINANCIAL", | |
"I-FINANCIAL", | |
"L-FINANCIAL", | |
"U-FINANCIAL", | |
"B-ROUTING_NUMBER", | |
"I-ROUTING_NUMBER", | |
"L-ROUTING_NUMBER", | |
"U-ROUTING_NUMBER", | |
"B-SWIFT_CODE", | |
"I-SWIFT_CODE", | |
"L-SWIFT_CODE", | |
"U-SWIFT_CODE", | |
"B-MAC_ADDRESS", | |
"I-MAC_ADDRESS", | |
"L-MAC_ADDRESS", | |
"U-MAC_ADDRESS", | |
"B-AGE", | |
"I-AGE", | |
"L-AGE", | |
"U-AGE", | |
] | |
) | |
), | |
"tokens": datasets.Sequence(datasets.Value("string")), | |
"template_id": datasets.Value("int32"), | |
"metadata": datasets.Value("int32"), | |
} | |
) | |
if self.config.name == "small": | |
features = datasets.Features( | |
{ | |
"full_text": datasets.Value("string"), | |
"masked": datasets.Value("string"), | |
"spans": datasets.Sequence(datasets.Value("string")), | |
"tags": datasets.Sequence( | |
datasets.features.ClassLabel( | |
names=[ | |
"O", | |
"B-O", | |
"I-O", | |
"L-O", | |
"U-O", | |
"B-PER", | |
"I-PER", | |
"L-PER", | |
"U-PER", | |
"B-LOC", | |
"I-LOC", | |
"L-LOC", | |
"U-LOC", | |
"B-ORG", | |
"I-ORG", | |
"L-ORG", | |
"U-ORG", | |
"B-NRP", | |
"I-NRP", | |
"L-NRP", | |
"U-NRP", | |
"B-DATE_TIME", | |
"I-DATE_TIME", | |
"L-DATE_TIME", | |
"U-DATE_TIME", | |
"B-CREDIT_CARD", | |
"I-CREDIT_CARD", | |
"L-CREDIT_CARD", | |
"U-CREDIT_CARD", | |
"B-URL", | |
"I-URL", | |
"L-URL", | |
"U-URL", | |
"B-IBAN_CODE", | |
"I-IBAN_CODE", | |
"L-IBAN_CODE", | |
"U-IBAN_CODE", | |
"B-US_BANK_NUMBER", | |
"I-US_BANK_NUMBER", | |
"L-US_BANK_NUMBER", | |
"U-US_BANK_NUMBER", | |
"B-PHONE_NUMBER", | |
"I-PHONE_NUMBER", | |
"L-PHONE_NUMBER", | |
"U-PHONE_NUMBER", | |
"B-US_SSN", | |
"I-US_SSN", | |
"L-US_SSN", | |
"U-US_SSN", | |
"B-US_PASSPORT", | |
"I-US_PASSPORT", | |
"L-US_PASSPORT", | |
"U-US_PASSPORT", | |
"B-US_DRIVER_LICENSE", | |
"I-US_DRIVER_LICENSE", | |
"L-US_DRIVER_LICENSE", | |
"U-US_DRIVER_LICENSE", | |
"B-US_LICENSE_PLATE", | |
"I-US_LICENSE_PLATE", | |
"L-US_LICENSE_PLATE", | |
"U-US_LICENSE_PLATE", | |
"B-IP_ADDRESS", | |
"I-IP_ADDRESS", | |
"L-IP_ADDRESS", | |
"U-IP_ADDRESS", | |
"B-US_ITIN", | |
"I-US_ITIN", | |
"L-US_ITIN", | |
"U-US_ITIN", | |
"B-EMAIL_ADDRESS", | |
"I-EMAIL_ADDRESS", | |
"L-EMAIL_ADDRESS", | |
"U-EMAIL_ADDRESS", | |
"B-TITLE", | |
"I-TITLE", | |
"L-TITLE", | |
"U-TITLE", | |
"B-COORDINATE", | |
"I-COORDINATE", | |
"L-COORDINATE", | |
"U-COORDINATE", | |
"B-IMEI", | |
"I-IMEI", | |
"L-IMEI", | |
"U-IMEI", | |
"B-PASSWORD", | |
"I-PASSWORD", | |
"L-PASSWORD", | |
"U-PASSWORD", | |
"B-LICENSE_PLATE", | |
"I-LICENSE_PLATE", | |
"L-LICENSE_PLATE", | |
"U-LICENSE_PLATE", | |
"B-CURRENCY", | |
"I-CURRENCY", | |
"L-CURRENCY", | |
"U-CURRENCY", | |
"B-FINANCIAL", | |
"I-FINANCIAL", | |
"L-FINANCIAL", | |
"U-FINANCIAL", | |
"B-ROUTING_NUMBER", | |
"I-ROUTING_NUMBER", | |
"L-ROUTING_NUMBER", | |
"U-ROUTING_NUMBER", | |
"B-SWIFT_CODE", | |
"I-SWIFT_CODE", | |
"L-SWIFT_CODE", | |
"U-SWIFT_CODE", | |
"B-MAC_ADDRESS", | |
"I-MAC_ADDRESS", | |
"L-MAC_ADDRESS", | |
"U-MAC_ADDRESS", | |
"B-AGE", | |
"I-AGE", | |
"L-AGE", | |
"U-AGE", | |
] | |
) | |
), | |
"tokens": datasets.Sequence(datasets.Value("string")), | |
"template_id": datasets.Value("int32"), | |
"metadata": datasets.Value("int32"), | |
} | |
) | |
return datasets.DatasetInfo( | |
description=_DESCRIPTION, | |
features=features, | |
# supervised_keys=("sentence", "label"), | |
# Homepage of the dataset for documentation | |
homepage=_HOMEPAGE, | |
# License for the dataset if available | |
license=_LICENSE, | |
# Citation for the dataset | |
citation=_CITATION, | |
) | |
def _split_generators(self, dl_manager): | |
data_dir = dl_manager.download_and_extract(_URL) | |
size = "small" | |
if self.config.name == "large": # This is the name of the configuration selected in BUILDER_CONFIGS above | |
size = "large" | |
return [ | |
datasets.SplitGenerator( | |
name=datasets.Split.TRAIN, | |
# These kwargs will be passed to _generate_examples | |
gen_kwargs={ | |
"filepath": os.path.join(data_dir, f"train-{size}.json"), | |
"split": "train", | |
}, | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.VALIDATION, | |
# These kwargs will be passed to _generate_examples | |
gen_kwargs={ | |
"filepath": os.path.join(data_dir, f"dev-{size}.json"), | |
"split": "dev", | |
}, | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.TEST, | |
# These kwargs will be passed to _generate_examples | |
gen_kwargs={ | |
"filepath": os.path.join(data_dir, f"test-{size}.json"), | |
"split": "test" | |
}, | |
), | |
] | |
# method parameters are unpacked from `gen_kwargs` as given in `_split_generators` | |
def _generate_examples(self, filepath, split): | |
# The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example. | |
with open(filepath, encoding="utf-8") as f: | |
dataset = json.load(f) | |
for key, row in enumerate(dataset): | |
# Yields examples as (key, example) tuples | |
yield key, { | |
"tokens": row["tokens"], | |
"tags": row["tags"], | |
"full_text": row["full_text"], | |
"spans": row["spans"], | |
"masked": row["masked"], | |
"template_id": row["template_id"], | |
"metadata": row["metadata"], | |
} |