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