Datasets:
Tasks:
Sentence Similarity
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
10K - 100K
License:
Update README.md
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README.md
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# Muradif
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Muradif (مُرادِف, "synonym") is a synonym-based benchmark that directly assesses embedding quality with no additional fine-tuning. Each row is a triplet with a context: a model should embed `context` with `anchor_word` closer to `context` with `syn_word` (a true synonym) than to `context` with `irrelevant_word` (an unrelated word). There are 38,554 triplets in this benchmark.
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This dataset was introduced at the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026). For more information visit our website: https://acr.ps/neoarabert.
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### Example row:
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# Muradif
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Muradif (مُرادِف, "synonym") is a synonym-based benchmark that directly assesses embedding quality with no additional fine-tuning. Each row is a triplet with a context: a model should embed `context` with `anchor_word` closer to `context` with `syn_word` (a true synonym) than to `context` with `irrelevant_word` (an unrelated word). There are 38,554 triplets in this benchmark.
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This dataset was introduced at [the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)](https://aclanthology.org/2026.findings-acl.1293/). For more information visit our website: https://acr.ps/neoarabert.
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### Example row:
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