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---
pretty_name: '`lotte/lifestyle/dev`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---
# Dataset Card for `lotte/lifestyle/dev`
The `lotte/lifestyle/dev` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/lotte#lotte/lifestyle/dev).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=268,893
This dataset is used by: [`lotte_lifestyle_dev_forum`](https://huggingface.co/datasets/irds/lotte_lifestyle_dev_forum), [`lotte_lifestyle_dev_search`](https://huggingface.co/datasets/irds/lotte_lifestyle_dev_search)
## Usage
```python
from datasets import load_dataset
docs = load_dataset('irds/lotte_lifestyle_dev', 'docs')
for record in docs:
record # {'doc_id': ..., 'text': ...}
```
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"
}
```
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