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--- |
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language: |
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- en |
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license: mit |
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size_categories: |
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- n<1K |
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task_categories: |
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- text-generation |
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tags: |
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- geo |
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- seo |
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- search-engine-optimization |
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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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dataset_info: |
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features: |
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- name: doc_id |
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dtype: string |
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- name: url |
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dtype: string |
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- name: html_source |
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dtype: string |
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- name: cleaned_text |
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dtype: string |
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- name: cleaned_text_length |
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dtype: int64 |
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- name: topic_tags |
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sequence: string |
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- name: primary_topic |
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dtype: string |
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- name: difficulty_tags |
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sequence: string |
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- name: intent_tags |
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sequence: string |
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- name: data_source |
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dtype: string |
|
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- name: is_html_parse_failed |
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dtype: bool |
|
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- name: needs_refetch |
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dtype: bool |
|
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- name: refetch_success |
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dtype: bool |
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- name: html_issues |
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sequence: string |
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- name: issue_score |
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dtype: float64 |
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- name: query |
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dtype: string |
|
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- name: title |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 1792776 |
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num_examples: 200 |
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download_size: 988916 |
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dataset_size: 1792776 |
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--- |
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# GEO HTML 200 Dataset |
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A curated dataset of 200 web documents for Generative Engine Optimization (GEO) research. |
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## Features |
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| Column | Description | |
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|--------|-------------| |
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| doc_id | Unique document identifier | |
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| url | Source URL | |
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| cleaned_text | Parsed plain text content | |
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| cleaned_text_length | Character count | |
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| query | Associated search query | |
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| title | Document title | |
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| topic_tags | Topic classification | |
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## Usage |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("erv1n/geo_html_200") |
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``` |
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