irds/msmarco-passage_dev
收藏Hugging Face2023-01-05 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/irds/msmarco-passage_dev
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资源简介:
`msmarco-passage/dev`数据集由ir-datasets包提供,主要用于文本检索任务。该数据集包含101,093条查询(queries)和59,273条相关性评估(qrels)。文档部分需要使用`irds/msmarco-passage`数据集。该数据集被`msmarco-passage_dev_judged`数据集使用。
The `msmarco-passage/dev` dataset, provided by the ir-datasets package, is primarily intended for text retrieval tasks. It includes 101,093 queries and 59,273 relevance judgment pairs (qrels). The document corpus for this dataset relies on the `irds/msmarco-passage` dataset. Furthermore, this dataset is utilized by the `msmarco-passage_dev_judged` dataset.
提供机构:
irds原始信息汇总
数据集概述
数据集名称
msmarco-passage/dev
数据集来源
- 源数据集:
irds/msmarco-passage - 提供方:ir-datasets
数据集内容
queries(查询):101,093条qrels(相关性评估):59,273条docs(文档):使用irds/msmarco-passage数据集
数据集用途
用于msmarco-passage_dev_judged数据集
数据集加载示例
python from datasets import load_dataset
queries = load_dataset(irds/msmarco-passage_dev, queries) for record in queries: record # {query_id: ..., text: ...}
qrels = load_dataset(irds/msmarco-passage_dev, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ..., iteration: ...}
引用信息
@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} }



