irds/tweets2013-ia
收藏Hugging Face2023-01-05 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/irds/tweets2013-ia
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资源简介：
---
pretty_name: '`tweets2013-ia`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---
# Dataset Card for `tweets2013-ia`
The `tweets2013-ia` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/tweets2013-ia#tweets2013-ia).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=252,713,133
This dataset is used by: [`tweets2013-ia_trec-mb-2013`](https://huggingface.co/datasets/irds/tweets2013-ia_trec-mb-2013), [`tweets2013-ia_trec-mb-2014`](https://huggingface.co/datasets/irds/tweets2013-ia_trec-mb-2014)
## Usage
```python
from datasets import load_dataset
docs = load_dataset('irds/tweets2013-ia', 'docs')
for record in docs:
record # {'doc_id': ..., 'text': ..., 'user_id': ..., 'created_at': ..., 'lang': ..., 'reply_doc_id': ..., 'retweet_doc_id': ..., 'source': ..., 'source_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.
## Citation Information
```
@inproceedings{Sequiera2017TweetsIA,
title={Finally, a Downloadable Test Collection of Tweets},
author={Royal Sequiera and Jimmy Lin},
booktitle={SIGIR},
year={2017}
}
```
提供机构：
irds
原始信息汇总
数据集卡片 tweets2013-ia
数据集概述
tweets2013-ia 数据集由 ir-datasets 包提供。
数据内容
该数据集包含以下内容：
docs（文档，即语料库）；数量为 252,713,133。
使用场景
该数据集被用于以下数据集：
使用方法
以下是加载数据集的示例代码： python from datasets import load_dataset
docs = load_dataset(irds/tweets2013-ia, docs) for record in docs: record # {doc_id: ..., text: ..., user_id: ..., created_at: ..., lang: ..., reply_doc_id: ..., retweet_doc_id: ..., source: ..., source_content_type: ...}
引用信息
@inproceedings{Sequiera2017TweetsIA, title={Finally, a Downloadable Test Collection of Tweets}, author={Royal Sequiera and Jimmy Lin}, booktitle={SIGIR}, year={2017} }
