irds/gov2
收藏Hugging Face2023-01-05 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/irds/gov2
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资源简介:
---
pretty_name: '`gov2`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---
# Dataset Card for `gov2`
The `gov2` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/gov2#gov2).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=25,205,179
This dataset is used by: [`gov2_trec-tb-2004`](https://huggingface.co/datasets/irds/gov2_trec-tb-2004), [`gov2_trec-tb-2005`](https://huggingface.co/datasets/irds/gov2_trec-tb-2005), [`gov2_trec-tb-2005_efficiency`](https://huggingface.co/datasets/irds/gov2_trec-tb-2005_efficiency), [`gov2_trec-tb-2005_named-page`](https://huggingface.co/datasets/irds/gov2_trec-tb-2005_named-page), [`gov2_trec-tb-2006`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006), [`gov2_trec-tb-2006_efficiency`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006_efficiency), [`gov2_trec-tb-2006_efficiency_10k`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006_efficiency_10k), [`gov2_trec-tb-2006_efficiency_stream1`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006_efficiency_stream1), [`gov2_trec-tb-2006_efficiency_stream2`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006_efficiency_stream2), [`gov2_trec-tb-2006_efficiency_stream3`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006_efficiency_stream3), [`gov2_trec-tb-2006_efficiency_stream4`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006_efficiency_stream4), [`gov2_trec-tb-2006_named-page`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006_named-page)
## Usage
```python
from datasets import load_dataset
docs = load_dataset('irds/gov2', 'docs')
for record in docs:
record # {'doc_id': ..., 'url': ..., 'http_headers': ..., 'body': ..., 'body_content_type': ...}
```
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.
---
pretty_name: '`gov2`'
viewer: 不可用
source_datasets: []
task_categories:
- 文本检索
---
# `gov2` 数据集卡片
本`gov2`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,请参阅其[官方文档](https://ir-datasets.com/gov2#gov2)。
# 数据集内容
本数据集包含:
- `docs`(即文档语料库),共计25,205,179条。
本数据集被以下数据集使用:[`gov2_trec-tb-2004`](https://huggingface.co/datasets/irds/gov2_trec-tb-2004)、[`gov2_trec-tb-2005`](https://huggingface.co/datasets/irds/gov2_trec-tb-2005)、[`gov2_trec-tb-2005_efficiency`](https://huggingface.co/datasets/irds/gov2_trec-tb-2005_efficiency)、[`gov2_trec-tb-2005_named-page`](https://huggingface.co/datasets/irds/gov2_trec-tb-2005_named-page)、[`gov2_trec-tb-2006`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006)、[`gov2_trec-tb-2006_efficiency`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006_efficiency)、[`gov2_trec-tb-2006_efficiency_10k`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006_efficiency_10k)、[`gov2_trec-tb-2006_efficiency_stream1`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006_efficiency_stream1)、[`gov2_trec-tb-2006_efficiency_stream2`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006_efficiency_stream2)、[`gov2_trec-tb-2006_efficiency_stream3`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006_efficiency_stream3)、[`gov2_trec-tb-2006_efficiency_stream4`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006_efficiency_stream4)、[`gov2_trec-tb-2006_named-page`](https://huggingface.co/datasets/irds/gov2_trec-tb-2006_named-page)
## 使用方法
python
from datasets import load_dataset
docs = load_dataset('irds/gov2', 'docs')
for record in docs:
record # {'doc_id': ..., 'url': ..., 'http_headers': ..., 'body': ..., 'body_content_type': ...}
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),并将其转换为🤗 数据集格式进行存储。
提供机构:
irds
原始信息汇总
数据集概述
数据集名称
gov2
数据集来源
由 ir-datasets 包提供。
数据集内容
docs(文档,即语料库); 数量=25,205,179
数据集用途
- 用于多个相关数据集,包括:
gov2_trec-tb-2004gov2_trec-tb-2005gov2_trec-tb-2005_efficiencygov2_trec-tb-2005_named-pagegov2_trec-tb-2006gov2_trec-tb-2006_efficiencygov2_trec-tb-2006_efficiency_10kgov2_trec-tb-2006_efficiency_stream1gov2_trec-tb-2006_efficiency_stream2gov2_trec-tb-2006_efficiency_stream3gov2_trec-tb-2006_efficiency_stream4gov2_trec-tb-2006_named-page
数据集加载示例
python from datasets import load_dataset
docs = load_dataset(irds/gov2, docs) for record in docs: record # {doc_id: ..., url: ..., http_headers: ..., body: ..., body_content_type: ...}
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集名为'irds/gov2',包含超过2500万条文档,主要用于文本检索任务。它被多个TREC任务使用,适用于信息检索研究和应用。
以上内容由遇见数据集搜集并总结生成



