climateset/climateset
收藏Hugging Face2024-03-12 更新2024-05-25 收录
下载链接:
https://hf-mirror.com/datasets/climateset/climateset
下载链接
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资源简介:
---
tags:
- climate
license: other
---
## Terms of Use
By using the dataset, you agree to comply with the dataset license ([CC-by-4.0-Deed](https://creativecommons.org/licenses/by/4.0/deed.en)).
## Download Instructions
To download one file, please use
```
from huggingface_hub import hf_hub_download
# Path of the directory where the data will be downloaded in your local machine
local_directory = 'LOCAL_DIRECTORY'
# Relative path of the file in the repository
filepath = 'FILE_PATH'
repo_id = "climateset/climateset"
repo_type = "dataset"
hf_hub_download(repo_id=repo_id, filename=filepath, local_dir=local_directory, repo_type=repo_type, local_dir_use_symlinks=False)
```
To download the content of the whole repository, please use
```
from huggingface_hub import snapshot_download
# Path of the directory where the data will be downloaded in your local machine
local_directory = 'LOCAL_DIRECTORY'
repo_id = "climateset/climateset"
repo_type = "dataset"
snapshot_download(repo_id=repo_id, repo_type=repo_type, local_dir=local_directory, local_dir_use_symlinks=False)
```
Please note that the script `extract_climateset.py` can be used to extract the content of each of the .TAR archive files once they are downloaded in your local machine.
提供机构:
climateset
原始信息汇总
数据集概述
数据集标签
- 气候
许可证
- 其他
使用条款
- 使用本数据集需遵守CC-by-4.0许可证。
下载指南
-
单个文件下载:
-
使用
huggingface_hub库中的hf_hub_download函数。 -
示例代码: python from huggingface_hub import hf_hub_download
local_directory = LOCAL_DIRECTORY filepath = FILE_PATH
repo_id = "climateset/climateset" repo_type = "dataset" hf_hub_download(repo_id=repo_id, filename=filepath, local_dir=local_directory, repo_type=repo_type, local_dir_use_symlinks=False)
-
-
整个仓库内容下载:
-
使用
huggingface_hub库中的snapshot_download函数。 -
示例代码: python from huggingface_hub import snapshot_download
local_directory = LOCAL_DIRECTORY
repo_id = "climateset/climateset" repo_type = "dataset" snapshot_download(repo_id=repo_id, repo_type=repo_type, local_dir=local_directory, local_dir_use_symlinks=False)
-
-
数据集解压:
- 使用
extract_climateset.py脚本解压下载的.TAR归档文件。
- 使用



