Question: Text density scoring may undervalue structured data (tables)

[kofsitho87]

First of all, Crawl4AI is an awesome project! The intelligent content filtering and extraction capabilities are impressive.
While exploring the codebase, I noticed an interesting point about content evaluation that might be worth discussing.

Current Behavior

Content quality evaluation uses text density (text_len / tag_len, weight: 0.4). However, this might not be suitable for structured data like tables.

Example

<table>
<tr>
<th>Year</th><th>Revenue</th>
</tr>
<tr>
<td>2023</td><td>1000</td>
</tr>
</table>

Here, valuable data (4 items) requires many HTML tags, resulting in low text density.

Questions

1. Should structured content have different evaluation criteria?
2. How to distinguish between low-value content and necessary structural markup?
3. What metrics might be more appropriate for structured data?

Affected Content Types

• Data tables
• Financial data
• Technical specifications
• API documentation
• Code blocks

Love this project and would be excited to hear thoughts on this observation!

/label discussion
/label content-filtering