vibrant
Datasets
All datasets matching “vibrant”fiqa
FiQA Dataset for RAG Evaluation
The FiQA (Financial Opinion Mining and Question Answering) dataset reformatted specifically for evaluating Retrieval-Augmented Generation (RAG) systems. This dataset contains financial domain questions with ground truth answers and retrieved contexts, making it ideal for testing RAG pipelines on domain-specific content.
Recommended Usage: ragas_eval_v3
The ragas_eval_v3 configuration is the primary and recommended way to use this dataset.… See the full description on the dataset page: https://huggingface.co/datasets/vibrantlabsai/fiqa.TTCW-Based-Review
TTCW Creative Writing Evaluation Dataset
If you use this dataset in your research, please cite our paper — it helps support ongoing academic work. Citation details are at the bottom of this page.
Dataset Description
Summary
A supervised fine-tuning (SFT) dataset for training LLMs to act as creative writing evaluators. Each example contains a creative story and four message-format columns representing different evaluation objectives — from… See the full description on the dataset page: https://huggingface.co/datasets/VibrantVista/TTCW-Based-Review.prompt-engineering-papersamnesty_qa
Amnesty QA Dataset
A grounded question-answering dataset for evaluating RAG (Retrieval-Augmented Generation) systems, created from reports collected from Amnesty International.
This dataset is designed for testing and evaluating RAG pipelines with real-world human rights content.
Dataset Structure
Each sample contains:
user_input: The question to be answered
reference: Ground truth answer for evaluation
response: Generated answer from the system
retrieved_contexts: List… See the full description on the dataset page: https://huggingface.co/datasets/vibrantlabsai/amnesty_qa.prompt-engineering-guide-papers\hindi-wikipedia