Given a short query with keyphrases about a research idea in 2019 in the domain of artificial intelligence, recommend the relevant datasets to validate the research idea from options provided. A short description of the datasets is also provided to help you.

Query: I want to use pre-trained language models for knowledge graph completion.

Keyphrases: knowledge graph completion text

Dataset description:
ConceptNet: ConceptNet is a knowledge graph that connects words and phrases of natural language with labeled edges. Its knowledge is collected from many sources that include expert-created resources, crowd-sourcing, and games with a purpose.
NumerSense: Contains 13.6k masked-word-prediction probes, 10.5k for fine-tuning and 3.1k for testing.
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.
CLUECorpus2020: CLUECorpus2020 is a large-scale corpus that can be used directly for self-supervised learning such as pre-training of a language model, or language generation. It has 100G raw corpus with 35 billion Chinese characters, which is retrieved from Common Crawl.

Options:- A: ConceptNet  B: NumerSense  C: WN18  D: CLUECorpus2020
WN18