Explore my collection of parsed Google Docs
You can run full text searches on content, title, and links.
Results are shown in reverse chronological order of when they were observed. Pages are 100 items long. These settings are hardcoded and cannot be changed.
Below are some example searches to help you get started:
Under the hood, searches are run using SQLITE's full text search (fts5) extension. Refer to SQLITE's documentation for search syntax help.
If you'd like an AI assistant to help you explore this dataset, try this prompt below:
## Google Docs full text search help
I'm exploring a dataset of parsed Google Docs held in an sqlite
database as an end-user. The front-end is a parameterised fts5 query.
The database uses the following fts5 schema:
```
CREATE VIRTUAL TABLE IF NOT EXISTS docs_fts USING fts5(
id UNINDEXED,
revision UNINDEXED,
title,
content,
links
);
```
Please help me create queries for this parameterised fts5 query (`WHERE docs_fts MATCH ?`).
I have no access to the underlying sqlite database as an end-user so don't provide
any implementation tips or comments.
Provide some example queries that demonstrate fts5 query syntax, like `title:bitcoin`.
Be brief and prefer tabular style output to demonstrate powerful fts5 queries.View document details
Q. Hi Pamela, it's a great honor that you have agreed to an interview for the second issue of Appliness magazine (BTW, our first, of hopefully many, women interviewees.) Can you introduce yourself to our readers? I'm a twenty-something-year-old living in San Francisco. I suppose I would be best ...
View document details
Data Usage at WMF (2024) - Interviews The WMF Data Platform Engineering team is embarking on a. To prepare for this, we would like to gather qualitative feedback from various users of data inside and outside of the WMF. We’d like to ask you a few questions about your experience using data for...
End of results.