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docs(zh-cn): Reviewed 40_uploading-a-dataset-to-the-hub.srt #528

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docs(zh-cn): Reviewed 40_uploading-a-dataset-to-the-hub.srt #528

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60 changes: 30 additions & 30 deletions subtitles/zh-CN/40_uploading-a-dataset-to-the-hub.srt
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@

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

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Expand All @@ -30,7 +30,7 @@ The first thing you need to do

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是在集线器上创建一个新的数据集存储库。
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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Expand All @@ -40,7 +40,7 @@ So, just click on your profile icon

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并选择新建数据集按钮。
并选择 New Dataset 按钮。
and select the New Dataset button.

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Expand All @@ -50,17 +50,17 @@ Next, we need to assign an owner of the dataset.

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默认情况下，这将是你的中心帐户，
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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但你也可以创建数据集
但你也可以
but you can also create datasets

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在你所属的任何组织下。
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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Expand All @@ -80,12 +80,12 @@ Public datasets can be accessed by anyone

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

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

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Expand All @@ -95,7 +95,7 @@ And with that, we can go ahead and create the dataset.

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现在你在集线器上有一个空的数据集存储库，
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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Expand All @@ -110,17 +110,17 @@ You can do this with git,

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但最简单的方法是选择上传文件按钮。
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
然后，你可以继续下一步
And then, you can just go ahead

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

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Expand All @@ -130,12 +130,12 @@ After you've uploaded your files,

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你会看到它们出现在存储库中
你会在 Files and versions 选项卡下
you'll see them appear in the repository

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在文件和版本选项卡下。
看到它们出现在仓库中。
under the Files and versions tab.

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Expand All @@ -145,27 +145,27 @@ The last step is to create a dataset card.

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记录良好的数据集更有用
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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给其他人，因为他们提供了决定的背景
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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数据集是否相关
包括数据集是否与需求相关
whether the dataset is relevant

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

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或与使用数据集相关的风险。
或使用该数据可能遇到的风险。
or risks associated with using the dataset.

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Expand All @@ -175,12 +175,12 @@ On the Hugging Face Hub,

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此信息存储在每个存储库的自述文件中。
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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你应该采取两个主要步骤。
你需要执行两个主要步骤。
There are two main steps that you should take.

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Expand All @@ -190,27 +190,27 @@ First, you need to create some metadata

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这将允许你的数据集
这将允许其他人在 hub 上
that will allow your dataset

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其他人可以在集线器上轻松找到。
轻松找到你的数据集。
to be easily found by others on the hub.

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你可以创建此元数据
你可以使用数据集标记应用程序
You can create this metadata

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使用数据集标记应用程序，
创建此元数据，
using the datasets tagging application,

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我们将在视频说明中链接到它。
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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Expand All @@ -230,12 +230,12 @@ and we provide a template

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我们还将在视频中链接到。
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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一旦你的数据集在集线器上，
一旦你的数据集在 hub 上，
And once your dataset is on the hub,

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Expand All @@ -245,12 +245,12 @@ you can load it using the trusty load_dataset function.

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只需提供你的存储库的名称
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，你就可以开始了。
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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