Datasets:

keeper-security
/

html-input-text-only

+# Changelog
+All notable changes to the Html Input Text Only Dataset will be documented in this file.
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+## [Version 1.0.0]
+- Initial release with html-input-text-only dataset
+- Standardized data processing pipeline
+- Comprehensive documentation and metadata
+---
+## Build Information
+- **Dataset version**: v1.0.0-initial
+- **Generated on**: 2025-08-21 15:13:14 UTC

README.md ADDED Viewed

	@@ -0,0 +1,259 @@

+---
+language:
+- af
+- am
+- ar
+- bn
+- bg
+- ca
+- hr
+- cs
+- da
+- nl
+- en
+- et
+- tl
+- fi
+- fr
+- de
+- el
+- gu
+- he
+- hi
+- hu
+- id
+- it
+- ja
+- kn
+- ko
+- lv
+- lt
+- ms
+- ml
+- mr
+- no
+- fa
+- pl
+- pt
+- ro
+- ru
+license: other
+license_name: other
+license_details: This dataset is proprietary to Keeper Security and intended for internal use only.
+tags: []
+annotations_creators:
+- machine-generated
+pretty_name: Html Input Text Only Dataset
+size_categories:
+- 100K&lt;n&lt;1M
+task_categories:
+- text-classification
+task_ids: []
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: html-input-text-only-1755812747.parquet
+dataset_info:
+  features:
+    - name: text
+      dtype: string
+    - name: label
+      dtype: string
+    - name: lang
+      dtype: string
+  config_name: default
+  splits:
+    - name: train
+      num_bytes: 21009409
+      num_examples: 449994
+  download_size: 21009409
+  dataset_size: 21009409
+---
+# 📖 Html Input Text Only Dataset
+This dataset contains HTML input text with all punctuation removed, making it ideal for training models on web form elements and URLs.
+## 📊 Dataset Overview
+A preprocessed version of keeper-security/html_input_dataset with punctuation removed from HTML sections to reduce tokenization errors during model training. Contains web form elements and URLs for security analysis tasks.
+This dataset is designed to facilitate the training of models that require clean HTML input without the noise introduced by punctuation.
+## 🔗 Dependencies
+The dataset uses data from the following datasets:
+- [keeper-security/html_input_dataset](https://huggingface.co/datasets/keeper-security/html_input_dataset)
+---
+## 💡 Usage Examples
+### Load with Hugging Face Datasets
+```python
+from datasets import load_dataset
+ds = load_dataset("keeper-security/html-input-text-only", data_files={"train": "html-input-text-only-1755812747.parquet"})
+print(ds["train"][0])
+```
+### Convert to Pandas
+```python
+import pandas as pd
+df_train = ds["train"].to_pandas()
+df_train.head()
+```
+---
+## 📁 Repository Structure
+```bash
+html-input-text-only/
+├── html-input-text-only-1755812747.parquet # Main processed dataset
+├── README.md                               # Dataset documentation
+└── CHANGELOG.md                            # Version history and changes
+```
+---
+## 📊 Data Overview
+- **Shape:** (449,994 rows × 3 columns)
+- **File Size:** ~20 MB
+---
+### 📌 Statistics
+- 🎯 Unique `text`: **302,616**
+- 🎯 Unique `label`: **45**
+- 🎯 Unique `lang`: **38**
+### Columns
+| Column Name | Type | Description |
+|:------------|:-----|:------------|
+| text | string | The main text content URL and HTML combined |
+| label | string | Classification label |
+| lang | string | Language of the text |
+### Ontology
+| **lang** | **Description** |
+|--------|-----------------|
+| Gujarati | Gujarati language |
+| Japanese | Japanese language |
+| Lithuanian | Lithuanian language |
+| Indonesian | Indonesian language |
+| Bengali | Bengali language |
+| Afrikaans | Afrikaans language |
+| Estonian | Estonian language |
+| Dutch | Dutch language |
+| Italian | Italian language |
+| Hebrew | Hebrew language |
+| Croatian | Croatian language |
+| Finnish | Finnish language |
+| Filipino | Filipino language |
+| English | English language |
+| Bulgarian | Bulgarian language |
+| Korean | Korean language |
+| Czech | Czech language |
+| Danish | Danish language |
+| Hindi | Hindi language |
+| Latvian | Latvian language |
+| German | German language |
+| unknown | Unknown or unclassified language |
+| Amharic | Amharic language |
+| Hungarian | Hungarian language |
+| Arabic | Arabic language |
+| Greek | Greek language |
+| Catalan | Catalan language |
+| Kannada | Kannada language |
+| French | French language |
+| Marathi | Marathi language |
+| Malay | Malay language |
+| Malayalam | Malayalam language |
+| Persian | Persian language |
+| Norwegian Bokmål | Norwegian language |
+| Polish | Polish language |
+| Romanian | Romanian language |
+| Portuguese | Portuguese language |
+| Russian | Russian language |
+| **label** | **Description** |
+|---------|-----------------|
+| ACCOUNT_CREATION_PASSWORD | Account creation password |
+| ADDRESS_CITY | City name in an address |
+| ADDRESS_COUNTRY | Country name in an address |
+| ADDRESS_LINE1 | First line of a street address |
+| ADDRESS_LINE2 | Second line of a street address (e.g., apartment, suite) |
+| ADDRESS_STATE | State, province, or region in an address |
+| ADDRESS_ZIP | Postal or ZIP code in an address |
+| ALTERNATIVE_FAMILY_NAME | Alternative or secondary family/last name |
+| ALTERNATIVE_FULL_NAME | Alternative or secondary full name |
+| ALTERNATIVE_GIVEN_NAME | Alternative or secondary given/first name |
+| AMBIGUOUS | Ambiguous or unclear input that cannot be classified |
+| BIRTH_DATE_DAY | Day component of a birth date |
+| BIRTH_DATE_MONTH | Month component of a birth date |
+| BIRTH_DATE_YEAR | Year component of a birth date |
+| COMPANY_NAME | Name of a company or organization |
+| CONFIRMATION_PASSWORD | Password confirmation field |
+| CREDIT_CARD_EXP_DATE_MONTH_AND_YEAR | Credit card expiration date (month and year) |
+| CREDIT_CARD_EXP_DATE_YEAR | Credit card expiration year |
+| CREDIT_CARD_EXP_MONTH | Credit card expiration month |
+| CREDIT_CARD_NUMBER | Credit card number |
+| CREDIT_CARD_STANDALONE_VERIFICATION_CODE | Credit card verification code (standalone field) |
+| CREDIT_CARD_TYPE | Type or brand of credit card (e.g., Visa, MasterCard) |
+| CREDIT_CARD_VERIFICATION_CODE | Credit card verification code (CVV, CVC, etc.) |
+| EMAIL_ADDRESS | Email address |
+| IBAN_VALUE | International Bank Account Number (IBAN) |
+| MALICIOUS_LABEL | Label for potentially malicious or harmful input |
+| MERCHANT_EMAIL_SIGNUP | Email address used for merchant signup |
+| MERCHANT_PROMO_CODE | Promotional or discount code for merchants |
+| NAME_FIRST | First or given name |
+| NAME_FULL | Full name |
+| NAME_LAST | Last or family name |
+| NAME_MIDDLE | Middle name |
+| NAME_MIDDLE_INITIAL | Middle initial |
+| NAME_PREFIX | Name prefix (e.g., Mr., Dr., Ms.) |
+| NAME_SUFFIX | Name suffix (e.g., Jr., Sr., III) |
+| NATIONAL_IDENTITY_NUMBER | National identity or government-issued number |
+| NEW_PASSWORD | New password field |
+| PASSWORD | Password field |
+| PHONE_NUMBER | Phone number |
+| PIN_CODE | Personal identification number (PIN) |
+| PROBABLY_NEW_PASSWORD | Field likely to be a new password |
+| SEARCH | Search query or search field |
+| TWO_FACTOR_CODE | Two-factor authentication code |
+| UNKNOWN | Unknown or unclassified input |
+| USERNAME | Username or user ID |
+---
+---
+## 🔧 Reproduction
+1. Clone the repository:
+```bash
+git clone https://github.com/keeper-security/ai-factory.git
+cd ai-factory
+git checkout 245a96b976f46aefbd71fc1716c16fd69d503b73
+```
+2. Navigate to the dataset directory and run the pipeline:
+```bash
+cd datasets/html-input-text-only
+python run_pipeline.py
+```
+---

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