Yuti/MEN-word-similarity

MEN Word Similarity Dataset

Dataset Description

The MEN dataset is a word similarity dataset consisting of 3,000 word pairs annotated with human similarity judgments. It is commonly used to evaluate distributional semantic models such as Word2Vec, GloVe, fastText, and newer embedding models.

Each example consists of:

• word1: First word
• word2: Second word
• score: Human similarity score (higher means more similar)

The dataset is provided in its natural form, without lemmatization or lowercasing.

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Dataset Structure

Data Fields

Field	Type	Description
word1	string	First word
word2	string	Second word
score	float	Human similarity score

Example

{
  "word1": "sun",
  "word2": "moon",
  "score": 0.65
}