Precomputed DBpedia ColBERT multivectors for pgturbohybrid benchmark runs.
The dataset stores packed little-endian float16 values for the document and query embeddings.
Importing these rows into PostgreSQL avoids llama.cpp embedding generation
during retrieval/index benchmarks.
This compact export stores half-precision values and reconstructs turbohybrid_multivector values on import. Use it for benchmark loading where avoiding runtime… See the full description on the dataset page:
https://huggingface.co/datasets/johannhartmann/pgturbohybrid_dbpedia_colbert.
