Gowtham2899/llm-eval-benchmark

LLM Evaluation Benchmark Overview This dataset provides structured examples for evaluating language model outputs across multiple task categories and scoring methods. It is intended for AI engineers, researchers, and developers building reproducible LLM evaluation pipelines. Dataset contents The dataset uses JSON Lines (JSONL). Each record represents one evaluation example. Each example contains fields such as: id: unique example identifier… See the full description on the dataset page: https://huggingface.co/datasets/Gowtham2899/llm-eval-benchmark.

<iframe src="https://silytics.si/embed/item/b1d1881b-d475-4248-ba15-e0d61a246b47" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

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 Information may be incomplete or out of date.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.