Datasets:

erv1n
/

geo_html_200

language:
  - en
license: mit
size_categories:
  - n<1K
task_categories:
  - text-generation
tags:
  - geo
  - seo
  - search-engine-optimization
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: doc_id
      dtype: string
    - name: url
      dtype: string
    - name: html_source
      dtype: string
    - name: cleaned_text
      dtype: string
    - name: cleaned_text_length
      dtype: int64
    - name: topic_tags
      sequence: string
    - name: primary_topic
      dtype: string
    - name: difficulty_tags
      sequence: string
    - name: intent_tags
      sequence: string
    - name: data_source
      dtype: string
    - name: is_html_parse_failed
      dtype: bool
    - name: needs_refetch
      dtype: bool
    - name: refetch_success
      dtype: bool
    - name: html_issues
      sequence: string
    - name: issue_score
      dtype: float64
    - name: query
      dtype: string
    - name: title
      dtype: string
  splits:
    - name: train
      num_bytes: 1792776
      num_examples: 200
  download_size: 988916
  dataset_size: 1792776

GEO HTML 200 Dataset

A curated dataset of 200 web documents for Generative Engine Optimization (GEO) research.

Features

Column	Description
doc_id	Unique document identifier
url	Source URL
cleaned_text	Parsed plain text content
cleaned_text_length	Character count
query	Associated search query
title	Document title
topic_tags	Topic classification

Usage

from datasets import load_dataset
ds = load_dataset("erv1n/geo_html_200")