Khaimaitien Qa Expert Multi Hop Qa V1 0 · Datasets At Hugging Face

Khaimaitien/qa-expert-multi-hop-qa-V1.0 · Datasets At Hugging Face

Khaimaitien/qa-expert-multi-hop-qa-V1.0 · Datasets At Hugging Face Tylenol comes in different forms, including tablets, capsules, and liquid, making it a convenient option for people of all ages. the recommended dosage for adults is 325 650 mg every 4 6 hours, with a maximum of 4,000 mg in a 24 hour period. Qa expert is a language model (llm) specifically fine tuned for the task of question answering, with a strong emphasis on addressing multi hop question answering scenarios.

Khaimaitien/qa-expert-multi-hop-qa-V1.0 · Datasets At Hugging Face

Khaimaitien/qa-expert-multi-hop-qa-V1.0 · Datasets At Hugging Face I just released a mistral based model that is finetuned exclusively for handling multi hop question answering. the model will decompose a multi hop question into single questions, then retrieve relevant information to single questions to answer these single questions. The ability to answer multi hop questions and perform multi step reasoning can significantly improve the utility of nlp systems. consequently, the field has seen a surge with high quality datasets, models and evaluation strategies. This model aims to handle multi hop question answering by splitting a multi hop questions into a sequence of single questions, handle these single questions then summarize the information to get the final answer. this model is a fine tuned version of mistralai/mistral 7b v0.1 on the dataset: khaimaitien/qa expert multi hop qa v1.0. In this study, we present a new multi hop qa dataset, called 2wikimultihopqa, which uses structured and unstructured data. in our dataset, we introduce the evidence information containing a reasoning path for multi hop questions.

Khaimaitien/multi-hop-qa-function-calling-format-V1.0 · Datasets At Hugging Face

Khaimaitien/multi-hop-qa-function-calling-format-V1.0 · Datasets At Hugging Face This model aims to handle multi hop question answering by splitting a multi hop questions into a sequence of single questions, handle these single questions then summarize the information to get the final answer. this model is a fine tuned version of mistralai/mistral 7b v0.1 on the dataset: khaimaitien/qa expert multi hop qa v1.0. In this study, we present a new multi hop qa dataset, called 2wikimultihopqa, which uses structured and unstructured data. in our dataset, we introduce the evidence information containing a reasoning path for multi hop questions. A multi hop question answering (qa) dataset aims to test reasoning and inference skills by requiring a model to read multiple paragraphs to answer a given question. however, current datasets do not provide a complete explanation for the reasoning process from the question to the answer. Qa expert is a language model (llm) specifically fine tuned for the task of question answering, with a strong emphasis on addressing multi hop question answering scenarios. Qa expert is a language model (llm) specifically fine tuned for the task of question answering, with a strong emphasis on addressing multi hop question answering scenarios. Datasets: khaimaitien / qa expert multi hop qa v1.0 like 4 tasks: question answering.

🤗 Tasks: Question Answering