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01badrex /royal_society_corpus_LLM_generated_metadatatabular10K<n<100K0 likes20 downloads2y agoHugging Face02psresearch /augmented_dataset_llm_generated_NER 📚 Augmented LLM-Generated NER Dataset for Scholarly Text 🧠 Dataset Summary This dataset contains synthetically generated academic text tailored for Named Entity Recognition (NER) in the software engineering domain. The synthetic data augments scholarly writing using large language models (LLMs), with entity consistency maintained via token preservation. The dataset is generated by merging and rephrasing pairs of annotated sentences from scholarly papers using… See the full description on the dataset page: https://huggingface.co/datasets/psresearch/augmented_dataset_llm_generated_NER.tabulartoken-classification1K<n<10K0 likes18 downloads1y agoHugging Face03DNA-LLM /test_generated_seqtabular10K<n<100K0 likes12 downloads2y agoHugging Face04DNA-LLM /train_generated_seqtabular100K<n<1M0 likes9 downloads2y agoHugging Face05DNA-LLM /generated_seqstabular100K<n<1M0 likes7 downloads2y agoHugging Face06DNA-LLM /generated_train_diff_v2tabular100K<n<1M0 likes6 downloads2y agoHugging Face07AchOk78 /LLMgenerated_fictive_medical_report_and_summaries_with_omissions_label_Fr_Healthcare 🏥 French Synthetic Medical Reports and Summaries with Omission Labels (Fr-Healthcare) This dataset contains fictitious French medical reports, each paired with a summary and a binary label indicating whether the summary omits relevant factual content. It is designed solely for evaluating factual consistency and omission detection in Natural Language Processing, particularly in the medical domain. We must emphasize that all names, identifiers, dates, medical information, and any… See the full description on the dataset page: https://huggingface.co/datasets/AchOk78/LLMgenerated_fictive_medical_report_and_summaries_with_omissions_label_Fr_Healthcare.tabulartext-classificationn<1K0 likes6 downloads11mo agoHugging Face08DNA-LLM /generated_train_difftabular100K<n<1M0 likes5 downloads2y agoHugging Face

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