> For the complete documentation index, see [llms.txt](https://docs.graviti.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.graviti.com/guide/tensorbay/data.md).

# How to Quickly Prepare a Dataset

TensorBay provides you with a number of ways to quickly prepare your datasets. There are multiple methods to create a new dataset.

* Create a New Dataset Directly

{% content-ref url="/pages/-MWWoJQYMp5bTPiv6rjL" %}
[How to Create a New Dataset](/guide/tensorbay/data/create.md)
{% endcontent-ref %}

* Create a New Dataset from an Existing Dataset by Filtering the Data

{% content-ref url="/pages/-MWWp5Tjdsbk44ql2SEj" %}
[Create a Dataset by Filtering](/guide/tensorbay/data/filter.md)
{% endcontent-ref %}

* Create a New Dataset by Merging Existing Datasets

{% content-ref url="/pages/-MWWrECxrfPbCFcHCzRv" %}
[Create a Dataset by Merging](/guide/tensorbay/data/merge.md)
{% endcontent-ref %}

* Create a New Dataset by Forking a Dataset from the Open Datasets

{% content-ref url="/pages/-MWWro4TxVuiSsF6U2wW" %}
[Quick Use of Open Datasets by Forking](/guide/tensorbay/data/fork.md)
{% endcontent-ref %}

TensorBay supports two ways to store datasets:

* Default Storage Location: your data will be stored in TensorBay Cloud Storage (Storage of Amazon S3) and each registered user will be provided with 100GB of free storage.