datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
multi-hop-qa-function-calling-format-V1.0This dataset is converted from khaimaitien/qa-expert-multi-hop-qa-V1.0 to OpenAI function calling format.
Each data point is a list of messages with role=user, assistant or function:
message that role=user, content is the question
message that role=assistant, content is not None, function_call is None: --> assistant responds with text only
message that role=assistant and function_call is not None --> assistant asks to execute a function call
function_call is of the form: {"name": "retrieve"… See the full description on the dataset page: https://huggingface.co/datasets/khaimaitien/multi-hop-qa-function-calling-format-V1.0.SFT-Paite-Multi_Messaging-Format
SFT-Paite-Multi-Messaging-Format
This dataset is a specialized collection of Paite language data designed for high-precision Supervised Fine-Tuning (SFT). It focuses exclusively on the Paite language, combining authentic conversational data with translated logical instruction sets to develop a model that possesses both native-level linguistic fluency and technical reasoning capabilities.
Dataset Composition
The dataset is structured to provide a balance between natural… See the full description on the dataset page: https://huggingface.co/datasets/sensix-zo/SFT-Paite-Multi_Messaging-Format.