Update README.md

README.md

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 datasets:
 - burgerbee/wikipedia-en-20240320
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-# Wikipedia txtai embeddings index (aka Embeddings is all you need)
-This is a [txtai](https://github.com/neuml/txtai) embeddings index (36h GPU crunch gave us 5GB embeddings + 25GB documents) for the [english edition of Wikipedia](https://en.wikipedia.org/). 
+# Wikipedia txtai embeddings index
+This is a [txtai](https://github.com/neuml/txtai) embeddings index (5GB embeddings + 25GB documents) for the [english edition of Wikipedia](https://en.wikipedia.org/). 
 
 Embeddings is the engine that delivers semantic search. Data is transformed into embeddings vectors where similar concepts will produce similar vectors.
 An embeddings index generated by txtai is a fully encapsulated index format. It dosen't require a database server.