Datasets:
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---
license: cc0-1.0
size_categories:
- 1M<n<10M
source_datasets:
- gbenson/webui-dom-snapshots
task_categories:
- text-classification
pretty_name: WebUI tokens (unlabelled)
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 71634460
num_examples: 1616815
download_size: 69704391
dataset_size: 71634460
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for WebUI tokens (unlabelled)
Every token over 5 characters long from [`gbenson/webui-dom-snapshots`](https://huggingface.co/datasets/gbenson/webui-dom-snapshots).
- **Curated by:** [Gary Benson](https://gbenson.net/)
- **License:** [CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/)
## Uses
I'm using it to develop a [DOM-aware tokenizer](https://github.com/gbenson/dom-tokenizers) for HTML.
## Bias, Risks, and Limitations
- 87% of the source dataset was English language websites, with no other language exceeding 2% of the total
- Non-ASCII tokens have been coerced to ASCII using [Unidecode](https://pypi.org/project/Unidecode/) where the result appears visually similar |