Datasets:

Nebulixlabs
/

CleanSite

license: apache-2.0
language:
  - en
  - fr
  - ar
  - hi
tags:
  - web-text
  - text
  - web-corpus
  - web-data
pretty_name: CleanSite
size_categories:
  - 100K<n<1M
task_categories:
  - text-generation

CleanSite

CleanSite is a multilingual web-text dataset published by Nebulixlabs for research, experimentation, and machine learning workflows involving large-scale web text.

The current dataset contains a single train split with 564,349 rows. The dataset viewer exposes three primary fields:

text — extracted web-page text
source — source URL associated with the record
date — timestamp associated with the record

Dataset Summary

Property	Value
Dataset	CleanSite
Publisher	Nebulixlabs
Modality	Text
Split	train
Rows	564,349
Format	Parquet
Languages	Multilingual

Data Structure

`text`

The textual content associated with a web-page or web document.

`source`

The source URL associated with the record.

`date`

A timestamp associated with the source record.

Intended Use

CleanSite can be used for:

web-text and corpus research
text preprocessing experiments
language-model and NLP research
web-data analysis
information retrieval experiments
dataset prototyping and benchmarking

Limitations

The exact source collection, filtering, cleaning, deduplication, and licensing pipeline should be documented here by the dataset maintainer.

Because the data originates from web content, records may contain duplicated material, low-quality text, outdated information, offensive material, copyrighted text, or other content that requires additional filtering before downstream use.

Users should independently validate the dataset for their intended application.

Data Quality and Preprocessing

The current public repository does not fully document the complete preprocessing pipeline.

Before using this dataset for training or evaluation, users should consider:

deduplication
language identification
HTML and boilerplate removal
quality filtering
personally identifiable information filtering
unwanted or unsafe-content filtering
train/evaluation leakage checks

Licensing and Attribution

The dataset repository currently does not provide enough licensing information to make a definitive statement about the legal status of every source document.

Users are responsible for verifying the applicable licenses, permissions, and terms for data used in their projects.

Maintainer

Nebulixlabs

Hugging Face: https://huggingface.co/Nebulixlabs

Citation

If you use CleanSite in research or software, please cite the Hugging Face repository:

Nebulixlabs. CleanSite. Hugging Face Datasets.
https://huggingface.co/datasets/Nebulixlabs/CleanSite

Additional Information

For questions, improvements, or collaboration, please use the repository discussion/community features on Hugging Face.