Datasets:

maknee
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bioasq_bier_4096_1m

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BioASQ-BEIR Vector Database Dataset (4096d, 1M)

Generated embeddings dataset for vector database training and evaluation.

Dataset Summary

This dataset contains 1,000,000 text samples with vector embeddings (4096 dimensions) generated from the BioASQ-BEIR dataset using Qwen/Qwen3-Embedding-8B.

Dataset Structure

Base dataset: 1,000,000 samples with embeddings
Embedding dimension: 4096

Repository Structure

parquet/

base.parquet - Main dataset with text and embeddings

Usage

from datasets import load_dataset

dataset = load_dataset("maknee/bioasq_bier_4096_1m")
base_data = dataset["train"]

import numpy as np
embeddings = np.array(base_data["embedding"])
texts = base_data["text"]

Dataset Information

Source: BioASQ-BEIR
Size: 1,000,000 samples
Dimension: 4096
Format: Parquet

Citation

@dataset{huggingface_embeddings_maknee_bioasq_bier_4096_1m,
  title={BioASQ-BEIR Vector Database Embeddings Dataset},
  author={Henry Zhu},
  year={2026},
  url={https://huggingface.co/datasets/maknee/bioasq_bier_4096_1m}
}

License

MIT License.

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