Sign inGet started
Dataset · Hugging Face

zeinabTaghavi/ImpliRet

✨ Key features Document-side reasoning: retrievers cannot rely on query expansion or multi-hop tricks— they must understand the document. Three reasoning types × two styles: exposes models to arithmetic, temporal and world-knowledge inference in both conversational and forum prose. Negatives in-pool: each query's pool contains 29 stylistically similar distractors. 🔖 Field specification Field Type Present in Description id string all Unique example id… See the full description on the dataset page: https://huggingface.co/datasets/zeinabTaghavi/ImpliRet.

Author / organizationzeinabTaghavi
License (as declared)mit
Downloads194 (as reported by Hugging Face)
Likes2
Created25 June 2025
Last updated at source21 September 2025
Embed this entry
<iframe src="https://silytics.si/embed/item/82b37daf-80c0-40d9-8e09-a9fd9b9727ed" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.