CoolFace
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qa-evaluation

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Models

All models matching “qa-evaluation”
dilanbakr /mistral-updated-model-for-qa_scoresystem-evaluationtext-generationtransformers1 likes12 downloads2y agoHugging FaceNetta1994 /setfit_baai_wix_qa_gpt-4o_cot-few_shot_remove_final_evaluation_e1_1726759073.27929text-classificationsetfit0 likes6 downloads2y agoHugging FaceNetta1994 /setfit_baai_wix_qa_gpt-4o_cot-instructions_remove_final_evaluation_e1_larger_train_17text-classificationsetfit0 likes6 downloads2y agoHugging FaceNetta1994 /setfit_baai_wix_qa_gpt-4o_improved-cot_chat_few_shot_remove_final_evaluation_e1_one_otext-classificationsetfit0 likes5 downloads2y agoHugging FaceNetta1994 /setfit_baai_wix_qa_gpt-4o_cot-instructions_remove_final_evaluation_e2_larger_train_17text-classificationsetfit0 likes4 downloads2y agoHugging FaceShabdobhedi /QA-LoRA-T5-Fine-Tune-And-Evaluationtransformers0 likes2y agoHugging Face

Datasets

All datasets matching “qa-evaluation”
gaffarshaikh07 /rag-qa-evaluation-dataset RAG QA Evaluation Dataset Overview This dataset contains test cases for evaluating Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) applications. The dataset is designed from a software testing and quality engineering perspective. Dataset Structure Each test case contains: Field Description question User question sent to the AI application context Context available to the AI application expected_answer Expected… See the full description on the dataset page: https://huggingface.co/datasets/gaffarshaikh07/rag-qa-evaluation-dataset.1 likes50 downloads5d agoHugging FaceSahmBenchmark /fatwa-qa-evaluation Fatwa QA Evaluation Dataset Dataset Description This dataset contains Islamic finance and jurisprudence fatwa question-answer pairs for evaluating Arabic language models. This is an open-ended QA evaluation benchmark where models generate free-form answers. Dataset Statistics Total Samples: 2,000 Average Question Length: 243.9 characters Average Answer Length: 492.3 characters Dataset Structure Data Fields id: Unique… See the full description on the dataset page: https://huggingface.co/datasets/SahmBenchmark/fatwa-qa-evaluation.tabularquestion-answering1K<n<10K0 likes44 downloads9mo agoHugging Facezli12321 /pedants_qa_evaluation_bench pedants_qa_evaluation This dataset evaluates candidate answers for various question-answering (QA) tasks across multiple datasets such as Jeopardy!, hotpotQA, nq-open, narrativeQA, and BIOMRC, etc. See details in paper. It contains questions, reference answers (ground truth), model-generated candidate answers, and human judgments indicating whether the candidate answers are correct. Dataset Details Column Type Description question string The question asked… See the full description on the dataset page: https://huggingface.co/datasets/zli12321/pedants_qa_evaluation_bench.textquestion-answering10K<n<100K1 likes32 downloads2y agoHugging FaceCowboygarage /MediLite-QA-Response-Evaluationtext1K<n<10K0 likes20 downloads11mo agoHugging FaceCowboygarage /MediLite-QA-Final-Evaluationtext1K<n<10K0 likes14 downloads11mo agoHugging FaceCGIAR /ragas_QA_evaluation_datasetgatedThe dataset comprises question answer pairs generated by the Mistral-7B-Instruct-v0.3 model, over a sample of the documents available in the CiGi knowledge base. The generative Q-A creation for evaluating CiGi was preferred over manual annotation because it yields diverse queries whose distribution better reflects downstream user intents. The dataset presentes the question-answer pairs, along with a reference to the source snippet that was used by the model to construct the answer. text1K<n<10K0 likes4 downloads2mo agoHugging Face