five

irds/lotte_science_test

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Hugging Face2023-01-05 更新2024-03-04 收录
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https://hf-mirror.com/datasets/irds/lotte_science_test
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资源简介:
--- pretty_name: '`lotte/science/test`' viewer: false source_datasets: [] task_categories: - text-retrieval --- # Dataset Card for `lotte/science/test` The `lotte/science/test` 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/test). # Data This dataset provides: - `docs` (documents, i.e., the corpus); count=1,694,164 This dataset is used by: [`lotte_science_test_forum`](https://huggingface.co/datasets/irds/lotte_science_test_forum), [`lotte_science_test_search`](https://huggingface.co/datasets/irds/lotte_science_test_search) ## Usage ```python from datasets import load_dataset docs = load_dataset('irds/lotte_science_test', '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" } ```
提供机构:
irds
原始信息汇总

数据集概述

数据集名称

lotte/science/test

数据来源

ir-datasets 包提供。

数据内容

  • 数据类型: docs (文档,即语料库)
  • 文档数量: 1,694,164

使用场景

该数据集被用于以下项目:

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" }

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