# Build A Dataset

### [Build a dataset >>](https://tdm-pilot.org/builder/)

* Multiple Collections: Anchor collections from JSTOR and Portico, with additional content sources continually added.
* Data Download in JSON.
* Open content - bibliographic metadata, full-text, unigrams, bigrams, trigrams.
* Dataset Dashboard: Easily view datasets you have built or accessed.

![](/files/-MUWfuO9rcXhYF9TGZVf)

### Example of one extraction ([examples](https://tdm-pilot.org/dataset/dashboard/))

* Dataset ID: unique identifier of the extracted dataset, can be used for retrieval in research notebooks.
* Analyze: tutorials version for leaning how to use the research notebooks. 
* Download metadata in CSV file format, raw text data in JSON file format.
* Built-in visualizations available by clicking the link under word cloud.

![](/files/-MUWhb36-jdq8FPqkYRk)


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://bcds.gitbook.io/learn/tutorials/text-analysis/text-analysis-in-jstor/build-a-dataset.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.