You need to agree to share your contact information to access this dataset
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
Please provide your name, affiliation if any, and intended use. Access is requested so the JoeyLLM team can understand who is using the dataset and how it is being used. Commercial use is allowed under the dataset licence. Please cite the dataset if it supports your research, project, publication, model, or public output.
Log in or Sign Up to review the conditions and access this dataset content.
π¬π§ UK Web Text β 5B-token Sample
A 5-billion-token sample of cleaned United Kingdom web text derived from Common Crawl. This sample was produced as part of the JoeyLLM project's ongoing research into regional English language datasets. π
This dataset is intended as a large-scale UK-attributed English web-text corpus for language-model pre-training, continued pre-training, data inspection, and regional English research.
π Dataset Summary π
| Property | This sample |
|---|---|
| Tokens | 5,000,000,241 (~5.00 B) |
| Rows / documents | 8,049,806 |
| Format | Single Parquet file |
| Language | English |
| Country attribution | United Kingdom |
| Source | Common Crawl-derived processed parquet data |
| Random seed | 8715 |
| Exact hash column | Yes |
| SimHash column | No |
π― Intended Uses
π‘ Direct Use
- Pre-training and continued pre-training of language models on UK-domain text. π€
- Domain-adaptation experiments involving UK English usage, place names, institutions, and topics. π
- Research into Common Crawl-derived language-model datasets. π¬
- Inspection and reproducibility of JoeyLLM data pipeline outputs. βοΈ
π« Out-of-Scope Use
- Extracting personal information or deanonymizing individuals. π΅οΈββοΈ
- Training models for malicious use, hate speech, harassment, or other harmful applications. π
- Treating this dataset as a balanced linguistic corpus or authoritative representation of UK English. β οΈ
π§± Dataset Structure ποΈ
Each row represents one cleaned web document or document-like text segment.
Expected core columns include:
| Field | Type | Description |
|---|---|---|
text |
string | Cleaned document body. |
token_count |
int | Token count used for sampling and filtering. |
url |
string | Original source URL, if available. |
hash |
string | Exact hash value, if exact hashing was enabled. |
simhash |
string | Near-duplicate hash value, if near-duplicate hashing was enabled. |
This dataset was built with exact hashing enabled and SimHash disabled.
ποΈ Dataset Creation
π Curation Rationale
Regional linguistic nuances β including UK spelling, place names, institutions, public services, media references, and local web conventions β are often diluted in global web-scale datasets. JoeyLLM provides targeted regional English web-text samples to support research into foundation models with stronger regional coverage. ποΈ
π Source
The dataset was derived from Common Crawl using a FineWeb-style web-text processing pipeline.
Documents were selected as UK web text by the upstream country-attribution stage of the JoeyLLM pipeline. Country attribution may use signals such as top-level domains, URL/domain features, crawl metadata, and content-derived features.
This dataset should be interpreted as UK-attributed web text, not necessarily text authored by UK citizens or officially published in the United Kingdom.
π² Construction Method
The dataset was created by streaming processed source parquet files in chunks and writing rows to a single parquet file until the target token budget was reached.
- Country: United Kingdom
- Source directory:
/home/jovyan/data/UK - Output file:
/home/jovyan/notebook/outputs/uk_5B_single/uk_5B_single.parquet - Target tokens requested:
5,000,000,000 - Actual tokens written:
5,000,000,241 - Actual rows written:
8,049,806 - Single parquet output:
True - Random seed:
8715 - Exact hash column:
True - SimHash column:
False
Because documents are not truncated, the realised token count slightly overshoots the 5B-token target.
π§Ή Cleaning Pipeline
The dataset was processed using a FineWeb-style pipeline including:
- Language filtering: documents retained only when classified as English with sufficient language confidence. β¨
- Quality filtering: heuristics to reduce low-quality pages, boilerplate, repetitive text, navigation text, and obvious extraction artefacts. π§½
- Country attribution: targeted selection using UK-related signals such as domains, URL features, crawl metadata, and content-derived signals. π
- Deduplication / hashing: exact hashing was enabled for duplicate tracking. βοΈ
π‘οΈ Personal and Sensitive Information
This dataset is derived from public web crawls and may contain names, contact details, opinions, offensive content, copyrighted text, or other sensitive material. No dedicated PII masking was performed. β οΈ
Users should apply additional filtering, redaction, and safety review before using this dataset in production systems or public-facing models.
π Loading the Dataset π»
from datasets import load_dataset
# Load the full 5B-token sample
ds = load_dataset("JoeyLLM/UK-dataset-5b", split="train")
print(ds)
print(ds[0]["text"][:500])
For streaming, which is recommended for rapid inspection:
from datasets import load_dataset
ds = load_dataset("JoeyLLM/UK-dataset-5b", split="train", streaming=True)
for ex in ds.take(3):
print(ex.get("url"), ex["token_count"])
β οΈ Limitations and Known Issues
This dataset is derived from public web crawl data and inherits the usual limitations of Common Crawl-derived corpora.
Known limitations include:
- Heuristic country attribution. UK attribution is based on automated signals and may contain false positives or non-UK content.
- Web-text noise. Boilerplate, navigation text, advertisements, duplicate fragments, low-quality pages, and formatting artefacts may remain.
- Residual duplication. Exact hashing was enabled, but near-duplicate SimHash was not enabled for this output.
- Potential personal information. Public web data may contain personal names, contact details, or other sensitive material.
- Copyright and source terms. The underlying text originates from public web pages and may remain subject to the rights and terms of the original publishers.
- Not balanced by domain or genre. The dataset reflects the distribution of selected web crawl data rather than a deliberately balanced linguistic corpus.
- Single-file layout. The dataset is provided as one parquet file, which may be less convenient for some distributed training workflows than a sharded dataset.
π License βοΈ
The dataset card, metadata, selection, and processing outputs are released under CC BY 4.0.
Commercial use is allowed under the dataset licence, subject to attribution and the other terms of CC BY 4.0. The underlying text is derived from publicly crawled web pages via Common Crawl and may remain subject to the rights, licences, and terms of the original publishers. Users are responsible for ensuring that their downstream use complies with applicable law and source terms.
π Citation βοΈ
A citation entry for the JoeyLLM project paper will be added once available. Until then, please cite this dataset card by URL:
@misc{joeyllm_uk_5b,
title = {UK Web Text -- 5B-token Sample},
author = {JoeyLLM Team},
year = {2026},
howpublished = {https://huggingface.co/datasets/JoeyLLM/UK-dataset-5b}
}
π Acknowledgements π€
Built using Common Crawl data and a FineWeb-style processing pipeline. While dataset selection, cleaning, sampling, and publication were carried out by the JoeyLLM team, this project would not have been possible without the invaluable tools, feedback, and ongoing support of the broader open-source AI community. We extend our deepest gratitude to all open-source contributors and researchers whose collaborative efforts continue to drive this field forward. π
π¬ Dataset Card Contact βοΈ
For inquiries regarding research access, collaboration, or dataset questions, please contact:
Matthew Altenburg
AI Scientist & Lead Researcher, JoeyLLM
matthew.altenburg@anu.edu.au
Backup: mattaltenburg@gmail.com
Double-check the actual repo name before pasting. If it is not `JoeyLLM/UK-dataset-5b`, update the two `load_dataset(...)` lines and the citation URL.
- Downloads last month
- 33