README.md

metadata

pretty_name: '`lotte/technology/test/search`'
viewer: false
source_datasets:
  - irds/lotte_technology_test
task_categories:
  - text-retrieval

Dataset Card for lotte/technology/test/search

The lotte/technology/test/search dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation.

Data

This dataset provides:

• queries (i.e., topics); count=596

• qrels: (relevance assessments); count=2,045

• For docs, use irds/lotte_technology_test

Usage

from datasets import load_dataset

queries = load_dataset('irds/lotte_technology_test_search', 'queries')
for record in queries:
    record # {'query_id': ..., 'text': ...}

qrels = load_dataset('irds/lotte_technology_test_search', 'qrels')
for record in qrels:
    record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'iteration': ...}

Note that calling load_dataset will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format.

Citation Information

@article{Santhanam2021ColBERTv2,
  title = "ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction",
  author = "Keshav Santhanam and Omar Khattab and Jon Saad-Falcon and Christopher Potts and Matei Zaharia", 
  journal= "arXiv preprint arXiv:2112.01488",
  year = "2021",
  url = "https://arxiv.org/abs/2112.01488"
}