Sign inGet started
Dataset · Hugging Face

ReliableAI/IRLBench

IRLBench: A Multi-modal, Culturally Grounded, Parallel Irish-English Benchmark for Open-Ended LLM Reasoning Evaluation Overview Recent advances in Large Language Models (LLMs) have demonstrated promising knowledge and reasoning abilities, yet their performance in multilingual and low-resource settings remains underexplored. Existing benchmarks often exhibit cultural bias, restrict evaluation to text-only, rely on multiple-choice formats, and, more importantly… See the full description on the dataset page: https://huggingface.co/datasets/ReliableAI/IRLBench.

Author / organizationReliableAI
Downloads213 (as reported by Hugging Face)
Likes5
Created26 April 2025
Last updated at source18 May 2025
Embed this entry
<iframe src="https://silytics.si/embed/item/40f259c2-7e76-4457-8a65-d33bea0b51c1" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

213 now (-4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: IRLBench: A Multi-modal, Culturally Grounded, Parallel Irish-English Benchmark for Open-Ended LLM Reasoning Evaluation Overview Recent advances in Large Language Models (LLMs) have demonstrated promising knowledge and reasoning abilities, y → IRLBench: A Multi-modal, Culturally Grounded, Parallel Irish-English Benchmark for Open-Ended LLM Reasoning Evaluation Overview Recent advances in Large Language Models (LLMs) have demonstrated promising knowledge and reasoning abilities, y

Changes detected by Silytics between refreshes of the source.

More from ReliableAI

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.