---
dataset_info:
  features:
  - name: documents
    sequence:
      sequence: float16
  splits:
  - name: train
    num_bytes: 8019022928
    num_examples: 171332
  download_size: 5775769873
  dataset_size: 8019022928
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
task_categories:
- feature-extraction
language:
- en
tags:
- medical
pretty_name: ColBERT TREC COVID
size_categories:
- 100K<n<1M
---

This dataset consists ColBERTv2.0 document vectors for the entire TREC-COVID dataset from BeIR. That 128 dimension per token, with 180 tokens for each of 171332 documents. 

The dataset was created using A100-40GB sponsored by Qdrant. The code to create these vectors is here: https://colab.research.google.com/drive/1hEhyleSrBz_mPyQJnRc0MwBenDuX1ahY?usp=sharing

This dataset was created for indexing experiments by Qdrant.