metadata

dataset_info:
  features:
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 52157654
      num_examples: 1313525
  download_size: 48108448
  dataset_size: 52157654
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc0-1.0
task_categories:
  - text-classification
pretty_name: WebUI tokens (unlabelled)
size_categories:
  - 1M<n<10M
source_datasets:
  - gbenson/webui-dom-snapshots

Dataset Card for WebUI tokens (unlabelled)

Every token over 4 characters long from gbenson/webui-dom-snapshots.

Curated by: Gary Benson
License: CC0 1.0 Universal

Uses

I'm using it to develop a DOM-aware tokenizer for HTML.

Bias, Risks, and Limitations

87% of the source dataset was English language websites, with no other language exceeding 2% of the total
Tokens were coerced to ASCII using Unidecode