irds/lotte_science_test

--- 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" } ```--- 数据集名称：`lotte/science/test` 查看器：禁用 源数据集：无 任务类别： - 文本检索 --- # `lotte/science/test` 数据集卡片 本`lotte/science/test`数据集由[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/lotte#lotte/science/test)。 # 数据概况 本数据集包含以下内容： - `docs`（文档，即语料库），共计1,694,164条。 本数据集可被以下数据集调用：[`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)。 ## 使用方法 python from datasets import load_dataset docs = load_dataset('irds/lotte_science_test', 'docs') for record in docs: record # {'doc_id': ..., 'text': ...} 请注意，调用`load_dataset`函数将下载该数据集（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（Hugging Face Datasets）格式进行本地存储。 ## 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" }

原始信息汇总

数据集概述

数据集名称

lotte/science/test

数据来源

由 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：

• lotte_science_test_forum
• lotte_science_test_search

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" }