---
pretty_name: '`msmarco-document-v2/trec-dl-2020/judged`'
viewer: false
source_datasets: ['irds/msmarco-document-v2', 'irds/msmarco-document-v2_trec-dl-2020']
task_categories:
- text-retrieval
---
# Dataset Card for `msmarco-document-v2/trec-dl-2020/judged`
The `msmarco-document-v2/trec-dl-2020/judged` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/msmarco-document-v2#msmarco-document-v2/trec-dl-2020/judged).
# Data
This dataset provides:
- `queries` (i.e., topics); count=45
- For `docs`, use [`irds/msmarco-document-v2`](https://huggingface.co/datasets/irds/msmarco-document-v2)
- For `qrels`, use [`irds/msmarco-document-v2_trec-dl-2020`](https://huggingface.co/datasets/irds/msmarco-document-v2_trec-dl-2020)
## Usage
```python
from datasets import load_dataset
queries = load_dataset('irds/msmarco-document-v2_trec-dl-2020_judged', 'queries')
for record in queries:
record # {'query_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
```
@inproceedings{Craswell2020TrecDl,
title={Overview of the TREC 2020 deep learning track},
author={Nick Craswell and Bhaskar Mitra and Emine Yilmaz and Daniel Campos},
booktitle={TREC},
year={2020}
}
@inproceedings{Bajaj2016Msmarco,
title={MS MARCO: A Human Generated MAchine Reading COmprehension Dataset},
author={Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, Tong Wang},
booktitle={InCoCo@NIPS},
year={2016}
}
```
展示名称:`msmarco-document-v2/trec-dl-2020/judged`
查看器:不可用
源数据集:['irds/msmarco-document-v2', 'irds/msmarco-document-v2_trec-dl-2020']
任务类别:
- 文本检索
---
# 「`msmarco-document-v2/trec-dl-2020/judged`」数据集卡片
本数据集「`msmarco-document-v2/trec-dl-2020/judged`」由[ir-datasets](https://ir-datasets.com/)工具包提供。如需了解该数据集的更多详情,请参阅[官方文档](https://ir-datasets.com/msmarco-document-v2#msmarco-document-v2/trec-dl-2020/judged)。
## 数据说明
本数据集包含以下内容:
- `queries`(即查询主题):共计45条
- 若需获取文档数据,请使用 [`irds/msmarco-document-v2`](https://huggingface.co/datasets/irds/msmarco-document-v2)
- 若需获取查询相关性标注(qrels)数据,请使用 [`irds/msmarco-document-v2_trec-dl-2020`](https://huggingface.co/datasets/irds/msmarco-document-v2_trec-dl-2020)
## 使用方法
python
from datasets import load_dataset
queries = load_dataset('irds/msmarco-document-v2_trec-dl-2020_judged', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ...}
请注意,调用`load_dataset`函数将自动下载该数据集(若数据集未公开,则会提供访问指引),并将数据转换为🤗 数据集格式进行存储。
## 引用信息
@inproceedings{Craswell2020TrecDl,
title={Overview of the TREC 2020 deep learning track},
author={Nick Craswell and Bhaskar Mitra and Emine Yilmaz and Daniel Campos},
booktitle={TREC},
year={2020}
}
@inproceedings{Bajaj2016Msmarco,
title={MS MARCO: A Human Generated MAchine Reading COmprehension Dataset},
author={Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, Tong Wang},
booktitle={InCoCo@NIPS},
year={2016}
}