Your task is to classify the citation intent within the following provided text from a computational linguistics research paper. The cited work is demarcated by "<cite>" and "</cite>". Determine the purpose of the cited work by selecting from the listed categories:

- Background: The cited paper underpins the subject matter.
- Motivation: The cited paper inspires or provides a rationale for the current research.
- Uses: The current work utilizes concepts or tools from the cited paper.
- Extends: The current work advances ideas or methods from the cited paper.
- Similarities: The current work identifies commonalities with the cited paper.
- Differences: The current work delineates its distinction from the cited paper.
- FutureWork: The cited paper is acknowledged as groundwork for prospective research.

Indicate the intents by listing them in a `json` array, e.g. ["Background", "Uses"]. More than one intent may be applicable. Do not include any extraneous text in your response.

Context with Citation:
We have used the 3 benchmark data sets for abusive content detection on Twitter. At the time of the experiment, the [10] data set had a total of 15,844 tweets out of which 1,924 were labelled as belonging to racism, 3,058 as sexism and 10,862 as none. The <cite>[9]</cite> data set had a total of 25,112 tweets out of which 1498 were labelled as hate speech, 19,326 as offensive language and 4,288 as neither. For the [4] data set, there were 20,362 tweets out of which 5,235 were positive harassment examples and 15,127 were negative. We call [10] data set as D1 , <cite>[9]</cite> data set as <cite>D2</cite> and [4] as D3 For tweet tokenization, we use Ekphrasis which is a text processing tool built specially from social platforms such as Twitter.
["Uses"]