irds/lotte_science_dev

---
pretty_name: '`lotte/science/dev`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---

# Dataset Card for `lotte/science/dev`

The `lotte/science/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/science/dev).

# Data

This dataset provides:
- `docs` (documents, i.e., the corpus); count=343,642

This dataset is used by: [`lotte_science_dev_forum`](https://huggingface.co/datasets/irds/lotte_science_dev_forum), [`lotte_science_dev_search`](https://huggingface.co/datasets/irds/lotte_science_dev_search)

## Usage

```python
from datasets import load_dataset

docs = load_dataset('irds/lotte_science_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"
}
```

原始信息汇总

数据集概述

数据集名称

lotte/science/dev

数据来源

由 ir-datasets 包提供。

数据内容

• 文档 (docs): 包含343,642个文档。

数据用途

该数据集被用于以下项目：

• lotte_science_dev_forum
• lotte_science_dev_search

使用示例

python from datasets import load_dataset

docs = load_dataset(irds/lotte_science_dev, docs) for record in docs: record # {doc_id: ..., text: ...}

引用信息

@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" }