Datasets:
Jeeran Claims Comparison (Generated)
Synthetic dataset of Arabic claim pairs (short review "key points") labelled with the
semantic relationship between claim_a and claim_b, across 7 categories:
Equivalent, Contradictory, OverlapIncomparable, DifferentFacts, Uncertain,
A-MoreSpecific, B-MoreSpecific.
Claims are written in Modern Standard Arabic or one of five dialects (Egyptian, Gulf,
Maghrebi, Levantine, Saudi), span 17 business/service domains, and ~25% contain negation.
Some claims carry realistic human typos (see error_a / error_b).
Generation used Gemini 2.5 Pro and GPT 5.4 (with thinking/reasoning). Each record was then
independently re-classified by the other model; only records where the judge agreed with
the intended label are kept, and each carries the judge's English reasoning trace in
thinking.
Splits
train / test / eval (0.7 / 0.2 / 0.1), stratified by subcategory.
Columns
id: incremental row id within the split (0-based counter)claim_a,claim_b: the two Arabic claimscategory: relationship label (one of the 7 categories)subcategory: finer relationship type, orcategory-onlydialect: MSA / Egyptian / Gulf / Maghrebi / Levantine / Saudihas_negation: whether a claim contains negationerror_a,error_b: injected typo class per claim (noneif clean)flipped: whether the pair is a flipped (claim_a<->claim_b) mirrorthinking: the judge model's English reasoning trace (non-empty)
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