You are provided with a research question, keyphrases about the question, a description of candidate datasets and dataset options. Read the description of popular datasets provided below and select the ones that can be used to validate the following research question. Use your knowledge of machine learning datasets to make the best judgement.
Your response should be formatted as a `json` array. For instance, for the query "Semi supervised image classification", a sample response might be: ["CIFAR-10", "CIFAR-100"]. Do not include any extra text in the response other than the answer array.

Query: L1 regularization of the scoring function in Complex Embeddings.

Keyphrases: knowledge base completion text

Dataset description:
FrameNet: FrameNet is a linguistic knowledge graph containing information about lexical and predicate argument semantics of the English language. FrameNet contains two distinct entity classes: frames and lexical units, where a frame is a meaning and a lexical unit is a single meaning for a word.
Humicroedit: Humicroedit is a humorous headline dataset. The data consists of regular English news headlines paired with versions of the same headlines that contain simple replacement edits designed to make them funny.
SNIPS: The SNIPS Natural Language Understanding benchmark is a dataset of over 16,000 crowdsourced queries distributed among 7 user intents of various complexity:   SearchCreativeWork (e.g. Find me the I, Robot television show), GetWeather (e.g.
ECHR: ECHR is an English legal judgment prediction dataset of cases from the European Court of Human Rights (ECHR). The dataset contains ~11.5k cases, including the raw text.
WN18: The WN18 dataset has 18 relations scraped from WordNet for roughly 41,000 synsets, resulting in 141,442 triplets. It was found out that a large number of the test triplets can be found in the training set with another relation or the inverse relation.
FB15k: The FB15k dataset contains knowledge base relation triples and textual mentions of Freebase entity pairs. It has a total of  592,213 triplets with 14,951 entities and 1,345 relationships.

Options:- A: FrameNet  B: Humicroedit  C: SNIPS  D: ECHR  E: WN18  F: FB15k
["WN18", "FB15k"]