Update README.md

README.md

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 Each example is based on a Wikidata triple involving two entities and a relation. The data is converted into a natural language premise and a hypothesis representing either the same or reversed triple. A label indicates whether the hypothesis logically follows from the premise.
 
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 ## Splits:
 - https://huggingface.co/datasets/MoyYuan/Asymmetricity-Text
 - https://huggingface.co/datasets/MoyYuan/Asymmetricity-Text-NLI
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 - https://huggingface.co/datasets/MoyYuan/Asymmetricity-Delex-NLI
 
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 ### Data variants include:
 - `*_text.json`: Premise and hypothesis expressed using natural language names for entities.
 - `*_delex_text.json`: Premise and hypothesis using Wikidata IDs instead of surface names (e.g., `Q5`, `Q42`).