subtitles/zh-CN/40_uploading-a-dataset-to-the-hub.srt

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- 将数据集上传到 hub。
- Uploading a dataset to the hub.

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在本视频中，我们将了解
In this video, we'll take a look

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如何上传你自己的数据集
at how you can upload your very own dataset

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到 Hugging Face Hub。
to the Hugging Face Hub.

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你需要做的第一件事
The first thing you need to do

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是在 hub 上创建一个新的数据集仓库。
is create a new dataset repository on the hub.

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所以，只需点击你的个人资料图标
So, just click on your profile icon

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并选择 New Dataset 按钮。
and select the New Dataset button.

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接下来，我们需要指定数据集的所有者。
Next, we need to assign an owner of the dataset.

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默认情况下，所有者是你的 hub 帐户，
By default, this will be your hub account,

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但你也可以
but you can also create datasets

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以你所属的组织的名义创建数据集。
under any organization that you belong to.

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然后，我们只需要给数据集起个好名字
Then, we just need to give the dataset a good name

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并指定它是公共数据集还是私有数据集。
and specify whether it is a public or private dataset.

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任何人都可以访问公共数据集
Public datasets can be accessed by anyone

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而私人数据集只能
while private datasets can only be accessed

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允许你或你的组织成员访问。
by you or members of your organization.

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这样，我们就可以继续创建数据集了。
And with that, we can go ahead and create the dataset.

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现在你在 hub 上有一个空的数据集仓库，
Now that you have an empty dataset repository on the hub,

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接下来要做的是向其中添加一些实际数据。
the next thing to do is add some actual data to it.

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你可以用 git 做到这一点，
You can do this with git,

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但最简单的方法是选择 Upload file 按钮。
but the easiest way is by selecting the Upload file button.

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然后，你可以继续下一步
And then, you can just go ahead

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直接从你的机器上传文件。
and upload the files directly from your machine.

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上传文件后，
After you've uploaded your files,

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你会在 Files and versions 选项卡下
you'll see them appear in the repository

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看到它们出现在仓库中。
under the Files and versions tab.

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最后一步是创建数据集卡。
The last step is to create a dataset card.

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对其他人来说，归档良好的数据集貌似更有用，
Well-documented datasets are more likely to be useful

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因为他们提供了影响决策的上下文信息
to others as they provide the context to decide

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包括数据集是否与需求相关
whether the dataset is relevant

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或者有没有误差
or whether there are any biases

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或使用该数据可能遇到的风险。
or risks associated with using the dataset.

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在 Hugging Face Hub 上，
On the Hugging Face Hub,

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此信息存储在每个仓库的 README 文件中。
this information is stored in each repositories README file.

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你需要执行两个主要步骤。
There are two main steps that you should take.

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首先，你需要创建一些元数据
First, you need to create some metadata

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这将允许其他人在 hub 上
that will allow your dataset

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轻松找到你的数据集。
to be easily found by others on the hub.

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你可以使用数据集标记应用程序
You can create this metadata

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创建此元数据，
using the datasets tagging application,

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我们将在视频说明信息中包含它的链接。
which we'll link to in the video description.

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创建元数据后，
Once you've created the metadata,

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你可以填写数据集卡的其余部分，
you can fill out the rest of the dataset card,

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我们提供了一个模板
and we provide a template

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相关链接也会包含在下面的视频信息内容中。
that we'll also link to in the video.

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一旦你的数据集在 hub 上，
And once your dataset is on the hub,

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你可以使用可信赖的 load_dataset 函数加载它。
you can load it using the trusty load_dataset function.

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只需提供你的仓库的名称
Just provide the name of your repository

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和一个 data_files 参数，你就可以开始使用了。
and a data_files argument, and you're good to go.

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（过渡音乐）
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