Update README.md with detailed information about project features and installation instructions.

README.md

@@ -10,7 +10,7 @@ size_categories:
 
 # `wikipedia_en`
 
-This is a curated Wikipedia English dataset for use with the [Chipmunk](https://github.com/Intelligent-Internet/Chipmunk) project.
+This is a curated Wikipedia English dataset for use with the [II-Commons](https://github.com/Intelligent-Internet/II-Commons) project.
 
 ## Dataset Details
 
@@ -48,7 +48,7 @@ Based on the [wikipedia dumps](https://dumps.wikimedia.org/). Please check this
 
 ## Prerequisite
 
-PostgreSQL 17 with extensions: [vectorchord](https://github.com/tensorchord/VectorChord) and [pg_search](https://github.com/paradedb/paradedb/tree/dev/pg_search) 
+PostgreSQL 17 with extensions: [vectorchord](https://github.com/tensorchord/VectorChord) and [pg_search](https://github.com/paradedb/paradedb/tree/dev/pg_search)
 
 The easiest way is to run it use our [Docker image](), or build your [own image]().
 
@@ -58,12 +58,12 @@ Ensure extensions are enabled, connect to the database using the psql, and run t
 CREATE EXTENSION IF NOT EXISTS vchord CASCADE;
 CREATE EXTENSION IF NOT EXISTS pg_search CASCADE;
 ```
-        
+
 ## Uses
 
 This dataset is available for a wide range of applications.
 
-Here is a demo of how to use the dataset with [Chipmunk](https://github.com/Intelligent-Internet/Chipmunk).
+Here is a demo of how to use the dataset with [II-Commons](https://github.com/Intelligent-Internet/II-Commons).
 
 ### Create the metadata and chunking tables in PostgreSQL
 
@@ -146,6 +146,6 @@ CREATE INDEX IF NOT EXISTS ts_wikipedia_en_embed_vector_null_index ON ts_wikiped
 SELECT vchordrq_prewarm('ts_wikipedia_en_embed_vector_index');
 ```
 
-### Query with Chipmunk
+### Query with II-Commons
 
-Click this link to learn how to query the dataset with [Chipmunk](https://github.com/Intelligent-Internet/Chipmunk).
+Click this link to learn how to query the dataset with [II-Commons](https://github.com/Intelligent-Internet/II-Commons).