datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
patient-evaluations
Patient Evaluations Dataset
This dataset contains clinician evaluations of AI-generated patient summaries from MIMIC-III data.
Dataset Description
The dataset includes expert clinician assessments of AI-generated patient summaries, with detailed ratings across multiple dimensions including clinical accuracy, completeness, relevance, and identification of hallucinations or critical omissions.
Dataset Structure
The dataset contains a CSV file… See the full description on the dataset page: https://huggingface.co/datasets/JesseLiu/patient-evaluations.turkish-brand-bias-evaluations
Turkish Brand Bias Evaluations / Türkçe Marka Yanlılığı Değerlendirmeleri
Furkan Karlı tarafından Türkçe ürün ve hizmet önerilerindeki marka görünürlüğünü
incelemek amacıyla oluşturulmuş LLM değerlendirme veri setidir.
An LLM evaluation dataset curated by Furkan Karlı to study brand visibility in
Turkish product and service recommendations.
Veri seti özeti
300 tamamlanmış ve judge edilmiş yanıt
Domainler: VPN (150) ve kozmetik (150)
Koşullar: web araması kapalı… See the full description on the dataset page: https://huggingface.co/datasets/furkankarli/turkish-brand-bias-evaluations.advent_of_code_evaluations
Advent of Code Evaluation
This evaluation is conducted on the advent of code dataset on several models including Qwen2.5-Coder-32B-Instruct, DeepSeek-V3-fp8, Llama-3.3-70B-Instruct, GPT-4o-mini, DeepSeek-R1.The aim is to to see how well these models can handle real-world puzzle prompts, generate correct Python code, and ultimately shed light on which LLM truly excels at reasoning and problem-solving.We used pass@1 to measure the functional correctness.
Results… See the full description on the dataset page: https://huggingface.co/datasets/Chemin-AI/advent_of_code_evaluations.brand-bias-evaluations
Brand Bias in LLM Recommendations
Evaluation dataset measuring how 4 frontier LLMs recommend brands/products with and without web search, across 4 consumer domains.
Paper: PDF (source)Code: github.com/ThreeRiversAINexus/brand-bias-evaluationsDataset: huggingface.co/datasets/3RAIN/brand-bias-evaluationsContact: Three Rivers AI Nexus LLC — threeriversainexus@gmail.com — for custom evaluations and prompt optimization
Quick Start
from datasets import load_dataset
# Load one… See the full description on the dataset page: https://huggingface.co/datasets/3RAIN/brand-bias-evaluations.hellora-olmoe-gsm8k-evaluations-seed42
OLMoE HELLoRA replication: held-out GSM8K generations
Reference archive containing every held-out GSM8K generation used to
compare the pinned pretrained base, selective HELLoRA, and full LoRA in the
single-GPU replication.
Source: https://github.com/toolanzyhhh1234/HELLoRA-replication
HELLoRA checkpoint:
https://huggingface.co/toolazyhhh123/hellora-olmoe-1b-7b-gsm8k-seed42
Full LoRA checkpoint:
https://huggingface.co/toolazyhhh123/lora-olmoe-1b-7b-gsm8k-seed42… See the full description on the dataset page: https://huggingface.co/datasets/toolazyhhh123/hellora-olmoe-gsm8k-evaluations-seed42.