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Datasets:
gbenson
/
webui-tokens-unlabelled

Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Size:
1M - 10M
Libraries:
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pandas
License:
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webui-tokens-unlabelled / README.md
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metadata
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.

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
  • Non-ASCII tokens have been coerced to ASCII using Unidecode where the result appears visually similar