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01bitext /Bitext-customer-support-llm-chatbot-training-dataset Bitext - Customer Service Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the Customer Support sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset.textquestion-answering10K<n<100K195 likes8.3k downloads2y agoHugging Face02bitext /Bitext-retail-ecommerce-llm-chatbot-training-dataset Bitext - Retail (eCommerce) Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [Retail (eCommerce)] sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-retail-ecommerce-llm-chatbot-training-dataset.textquestion-answering10K<n<100K19 likes1.7k downloads2y agoHugging Face03bitext /Bitext-events-ticketing-llm-chatbot-training-dataset Bitext - Events and Ticketing Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [events and ticketing] sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-events-ticketing-llm-chatbot-training-dataset.textquestion-answering10K<n<100K1 likes1.1k downloads2y agoHugging Face04bitext /Bitext-telco-llm-chatbot-training-dataset Bitext - Telco Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [telco] sector can be easily achieved using our two-step approach to LLM Fine-Tuning. An overview of… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-telco-llm-chatbot-training-dataset.textquestion-answering10K<n<100K2 likes264 downloads2y agoHugging Face05bitext /Bitext-insurance-llm-chatbot-training-dataset Bitext - Insurance Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [insurance] sector can be easily achieved using our two-step approach to LLM Fine-Tuning. An… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-insurance-llm-chatbot-training-dataset.textquestion-answering10K<n<100K8 likes228 downloads2y agoHugging Face06bitext /Bitext-travel-llm-chatbot-training-dataset Bitext - Travel Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [Travel] sector can be easily achieved using our two-step approach to LLM Fine-Tuning. An overview of… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-travel-llm-chatbot-training-dataset.textquestion-answering10K<n<100K4 likes179 downloads2y agoHugging Face07bitext /Bitext-mortgage-loans-llm-chatbot-training-dataset Bitext - Mortgage and Loans Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [Mortgage and Loans] sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-mortgage-loans-llm-chatbot-training-dataset.textquestion-answering10K<n<100K5 likes105 downloads2y agoHugging Face08bitext /Bitext-wealth-management-llm-chatbot-training-dataset Bitext - Wealth Management Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [Wealth Management] sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-wealth-management-llm-chatbot-training-dataset.textquestion-answering10K<n<100K2 likes91 downloads2y agoHugging Face09bitext /Bitext-hospitality-llm-chatbot-training-dataset Bitext - Hospitality Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [hospitality] sector can be easily achieved using our two-step approach to LLM Fine-Tuning. An… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-hospitality-llm-chatbot-training-dataset.textquestion-answering10K<n<100K1 likes85 downloads2y agoHugging Face10bitext /Bitext-media-llm-chatbot-training-dataset Bitext - Media Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [media] sector can be easily achieved using our two-step approach to LLM Fine-Tuning. An overview of… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-media-llm-chatbot-training-dataset.textquestion-answering10K<n<100K0 likes78 downloads2y agoHugging Face11nbvbharath-1729 /llm-math-evaluation-dataset LLM Math Response Evaluation Dataset Dataset Summary A human-annotated dataset of 150 AI-generated math responses evaluated across GPT-4o, Claude, and Gemini. Each response is scored on Correctness, Reasoning, and Clarity using a structured rubric, with written justification for every score. Supported Tasks LLM evaluation and benchmarking Math reasoning quality assessment Error type classification in AI responses Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/nbvbharath-1729/llm-math-evaluation-dataset.tabularn<1K0 likes71 downloads5d agoHugging Face12Kubermatic /cncf-question-and-answer-dataset-for-llm-training CNCF QA Dataset for LLM Tuning Description This dataset, named cncf-qa-dataset-for-llm-tuning, is designed for fine-tuning large language models (LLMs) and is formatted in a question-answer (QA) style. The data is sourced from PDF and markdown (MD) files extracted from various project repositories within the CNCF (Cloud Native Computing Foundation) landscape. These files were processed and converted into a QA format to be fed into the LLM model. The dataset includes the… See the full description on the dataset page: https://huggingface.co/datasets/Kubermatic/cncf-question-and-answer-dataset-for-llm-training.text10K<n<100K3 likes64 downloads2y agoHugging Face13bitext /Bitext-restaurants-llm-chatbot-training-dataset Bitext - Restaurants Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [restaurants] sector can be easily achieved using our two-step approach to LLM Fine-Tuning. An… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-restaurants-llm-chatbot-training-dataset.textquestion-answering10K<n<100K2 likes64 downloads2y agoHugging Face14barathanasln /turkish_llm_finetune_dataset_4_topics Turkish LLM Finetune Dataset - 4 Topics This dataset is designed to fine-tune the T3 AI Turkish LLM. It was created by Barathan Aslan, Ömer Faruk Çelik, and Batuhan Kalem for the T3 AI Hackathon. The dataset focuses on four distinct topics: Agriculture, Sustainability, Turkish Education Sytem, and Turkish Law System. Contributors Barathan Aslan (https://huggingface.co/barathanasln) Batuhan Kalem(https://huggingface.co/Pancarsuyu) Ömer Faruk Çelik… See the full description on the dataset page: https://huggingface.co/datasets/barathanasln/turkish_llm_finetune_dataset_4_topics.texttable-question-answering10K<n<100K11 likes61 downloads2y agoHugging Face15abhi23457 /Bitext-customer-support-llm-chatbot-training-dataset Bitext - Customer Service Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the Customer Support sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/abhi23457/Bitext-customer-support-llm-chatbot-training-dataset.textquestion-answering10K<n<100K0 likes50 downloads23d agoHugging Face16UniDataPro /llm-training-dataset LLM Fine-Tuning Dataset - 4,000,000+ logs, 32 languages The dataset contains over 4 million+ logs written in 32 languages and is tailored for LLM training. It includes log and response pairs from 3 models, and is designed for language models and instruction fine-tuning to achieve improved performance in various NLP tasks - Get the data Models used for text generation: GPT-3.5 GPT-4 Uncensored GPT Version (is not included inthe sample) Languages in… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/llm-training-dataset.texttext-generation1K<n<10K3 likes31 downloads1mo agoHugging Face17mlsuny /LLM_datasettexttable-question-answering1M<n<10M2 likes30 downloads2y agoHugging Face18rnaveensrinivas /LLM_Classifier_Dataset_2000text1K<n<10K0 likes25 downloads2y agoHugging Face19gorges-haha /Bitext-customer-support-llm-chatbot-training-dataset Bitext - Customer Service Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the Customer Support sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/gorges-haha/Bitext-customer-support-llm-chatbot-training-dataset.textquestion-answering10K<n<100K0 likes25 downloads2mo agoHugging Face20ud-nlp /LLM-Text-Generation-Dataset Generated Text Dataset - 4 Millions+ Logs Dataset comprises 4 million+ logs of synthetic texts generated by large language models (LLMs) across 32 languages, leveraging 3 different GPT models for diverse, high-quality training data. Designed for text generation tasks, language model training, and NLP applications, supporting generative AI and text classification.- Get the data Dataset characteristics: Characteristic Data Description Generated texts to achieve… See the full description on the dataset page: https://huggingface.co/datasets/ud-nlp/LLM-Text-Generation-Dataset.texttext-generation1K<n<10K0 likes24 downloads1y agoHugging Face21ljoaql /Bitext-customer-support-llm-chatbot-training-dataset Bitext - Customer Service Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the Customer Support sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/ljoaql/Bitext-customer-support-llm-chatbot-training-dataset.textquestion-answering10K<n<100K0 likes24 downloads5mo agoHugging Face22mostafafhasjk /Bitext-customer-support-llm-chatbot-training-dataset Bitext - Customer Service Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the Customer Support sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/mostafafhasjk/Bitext-customer-support-llm-chatbot-training-dataset.textquestion-answering10K<n<100K0 likes23 downloads7mo agoHugging Face23vshanks /Bitext-customer-support-llm-chatbot-training-dataset Bitext - Customer Service Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the Customer Support sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/vshanks/Bitext-customer-support-llm-chatbot-training-dataset.textquestion-answering10K<n<100K0 likes22 downloads7mo agoHugging Face24wdouglass078 /Bitext-retail-ecommerce-llm-chatbot-training-dataset Bitext - Retail (eCommerce) Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [Retail (eCommerce)] sector can be easily achieved using our two-step approach to… See the full description on the dataset page: https://huggingface.co/datasets/wdouglass078/Bitext-retail-ecommerce-llm-chatbot-training-dataset.textquestion-answering10K<n<100K0 likes22 downloads2d agoHugging Face25rohityadavv /Bitext-customer-support-llm-chatbot-training-dataset Bitext - Customer Service Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the Customer Support sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/rohityadavv/Bitext-customer-support-llm-chatbot-training-dataset.textquestion-answering10K<n<100K0 likes21 downloads8mo agoHugging Face26UniqueData /llm-dataset LLM Dataset - Prompts and Generated Texts The dataset contains prompts and texts generated by the Large Language Models (LLMs) in 32 different languages. The prompts are short sentences or phrases for the model to generate text. The texts generated by the LLM are responses to these prompts and can vary in length and complexity. Researchers and developers can use this dataset to train and fine-tune their own language models for multilingual applications. The dataset provides a rich… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/llm-dataset.texttext-generation1K<n<10K5 likes20 downloads1y agoHugging Face27Neajck /Bitext-restaurants-llm-chatbot-training-dataset Bitext - Restaurants Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [restaurants] sector can be easily achieved using our two-step approach to LLM Fine-Tuning. An… See the full description on the dataset page: https://huggingface.co/datasets/Neajck/Bitext-restaurants-llm-chatbot-training-dataset.textquestion-answering10K<n<100K0 likes20 downloads4mo agoHugging Face28psresearch /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 likes19 downloads1y agoHugging Face29med-llm-judge /Dataset_Rui Rui Dataset Three evaluation subsets (each stored in its own folder as a CSV): DS01_Medical-eval-sphere_Pairwise_Human/medical_eval_filtered.csv DS02_MedAESQA_Scalar_Human/medical_qa_converted.csv DS03_Healthbench_Scalar_JudgeModel/Healthbench.csv Load with 🤗 Datasets: from datasets import load_dataset ds1 = load_dataset("med-llm-judge/Dataset_Rui", "DS01_Medical-eval-sphere_Pairwise_Human") ds2 = load_dataset("med-llm-judge/Dataset_Rui", "DS02_MedAESQA_Scalar_Human") ds3 =… See the full description on the dataset page: https://huggingface.co/datasets/med-llm-judge/Dataset_Rui.texttext-classification1K<n<10K0 likes19 downloads11mo agoHugging Face30MCMLXXXI /Bitext-insurance-llm-chatbot-training-dataset Bitext - Insurance Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [insurance] sector can be easily achieved using our two-step approach to LLM Fine-Tuning. An… See the full description on the dataset page: https://huggingface.co/datasets/MCMLXXXI/Bitext-insurance-llm-chatbot-training-dataset.textquestion-answering10K<n<100K0 likes17 downloads8mo agoHugging Face

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