I am trying to compile a Lexical Simplification dataset, which contains sentences, complex words, and their simpler substitutes. I have already found some similar datasets in various languages, here are some of them for reference:

• English - contains 1 complex word per sentence
• Spanish - contains multiple complex words per sentence
• Spanish - contains multiple complex words per sentence
• English - contains 1 complex word per sentence

However, none of these sources seem to state how the target word was selected. Are they chosen arbitrarily? How would such a process typically be carried out?

Thanks in advance!

I am trying to compile a Lexical Simplification dataset, which contains sentences, target words, and their simpler substitutes. I have already found some similar datasets in various languages, here are some of them for reference:

• English - contains 1 target word per sentence
• Spanish - contains multiple target words per sentence
• Spanish - contains multiple target words per sentence
• English - contains 1 target word per sentence

However, none of these sources seem to state how the target word was selected. Target words are words that are potentially complex, meaning that they may be labelled as complex or not complex. Are they chosen arbitrarily? How would such a process typically be carried out?

Thanks in advance!