soumikmahato/diverse-websearch-3.5k
Diverse WebSearch 3.5k Diverse WebSearch 3.5K is a small web research dataset containing 3,500 diverse web pages collected from search results. Each row contains a source URL, extracted markdown content, a concise summary, and image URLs found on the page. Dataset Details This dataset is intended for learning and experimentation with: webpage summarization retrieval-augmented generation search result understanding document cleaning synthetic QA generation dataset… See the full description on the dataset page: https://huggingface.co/datasets/soumikmahato/diverse-websearch-3.5k.
Diverse WebSearch 3.5k
Diverse WebSearch 3.5K is a small web research dataset containing 3,500 diverse web pages collected from search results. Each row contains a source URL, extracted markdown content, a concise summary, and image URLs found on the page.
Dataset Details
This dataset is intended for learning and experimentation with:
- webpage summarization
- retrieval-augmented generation
- search result understanding
- document cleaning
- synthetic QA generation
- dataset curation pipelines
Columns
Suggested Usage
from datasets import load_dataset
ds = load_dataset("soumikmahato/diverse-websearch-3.5k")
print(ds["train"][0])Example Task Format
Input:
Summarize the following webpage:
<markdown>
Output:
<summary>Limitations
The dataset is small and intended mainly for educational use. Some webpage extractions may contain boilerplate, navigation text, duplicated content, or incomplete markdown. Users should apply additional filtering before using it for model training.
Data Considerations
The dataset contains URLs and extracted webpage text from public web pages. Before using this dataset commercially or redistributing derived versions, users should review the licensing and terms of the original source websites.
Intended Use
Recommended uses:
educational experiments RAG corpus construction summarization experiments dataset cleaning and labeling practice search/research agent prototyping
