README.md

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Dataset Card for SlimPajama-6B-embedded

This is a copy of DKYoon/SlimPajama-6B, together with embeddings generated by thenlper/gte-large. There are 5.49 million examples of text, a representative random sample of SlimPajama-627B. Each text is associated with a 1024-dimensional embedding vector that is meant to represent the semantic content. The vectors were generated by average-pooling (max-pooling dataset to come in the future).

This dataset is intended to help with downstream tasks such as reverse-embeddings, interpreting embedding spaces and creating adapters between embeddings models.