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README.md

@@ -1,49 +1,36 @@
 ---
-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: 2332293
-    num_examples: 200
-  download_size: 1268514
-  dataset_size: 2332293
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+language:
+- en
+license: mit
+size_categories:
+- n<1K
+task_categories:
+- text-generation
+tags:
+- geo
+- seo
+- search-engine-optimization
 ---
+
+# 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
+
+```python
+from datasets import load_dataset
+ds = load_dataset("erv1n/geo_html_200")
+```