context-ner
distil-ner-context-v3IfAug_classification_context_system_syn_res_ner_know_input_llama2_7bIfAug_classification_context_system_syn_res_ner_input_llama2_7bprompt_sent_NER_ADR_no_context_mistralprompt_sent_NER_ADR_with_context_mistralIfAug_classification_context_syn_res_ner_input_llama2_7bIfAug_classification_context_ner_input_llama2_7bIfAug_classification_system_context_syn_res_ner_know_v2_input_llama2_7b
DXwand-qna-with-context-dataset
QnA with Context Dataset
A bilingual (Arabic–English) question-answering dataset with context, designed to benchmark and fine-tune models on a wide range of reading comprehension and retrieval-augmented generation (RAG) scenarios.
Dataset Description
This dataset provides question–context–answer triples for training and evaluating QA models. It covers both Arabic and English, spans multiple domains, and includes carefully curated negative samples to challenge models on… See the full description on the dataset page: https://huggingface.co/datasets/nermineatif/DXwand-qna-with-context-dataset.arceasy_synthetic_5kgmm_ner_context