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cryptolab-playground/Bloomberg-Financial-News-embedding-gemma-300m

Bloomberg Financial News Embeddings for Vector Database Benchmarking Dataset Description This dataset contains pre-computed embeddings of Bloomberg financial news articles, designed for evaluating vector database performance. The embeddings are generated using Google's EmbeddingGemma-300M model. Purpose Benchmark dataset for evaluating vector database performance on financial news domain, specifically designed for use with VectorDBBench.… See the full description on the dataset page: https://huggingface.co/datasets/cryptolab-playground/Bloomberg-Financial-News-embedding-gemma-300m.

sourceHugging Faceapache-2.0updated 10mo agoView on Hugging Face

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