|
|
--- |
|
|
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. |
