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The task aims to collect and organize question-answering data from the open-source community to construct an open, multi-domain question-answering dataset, and to implement a question-answering model based on this dataset. By analyzing the behavior and language characteristics of members in the open-source community during the process of asking and answering questions, as well as the diversity and complexity of questions, you will design and train an efficient question-answering model capable of accurately understanding and answering various questions, thereby promoting knowledge sharing and communication within the open-source community.
The relevant code and dataset for this task need to be provided in the repository.
The text was updated successfully, but these errors were encountered:
Description
The task aims to collect and organize question-answering data from the open-source community to construct an open, multi-domain question-answering dataset, and to implement a question-answering model based on this dataset. By analyzing the behavior and language characteristics of members in the open-source community during the process of asking and answering questions, as well as the diversity and complexity of questions, you will design and train an efficient question-answering model capable of accurately understanding and answering various questions, thereby promoting knowledge sharing and communication within the open-source community.
The relevant code and dataset for this task need to be provided in the repository.
The text was updated successfully, but these errors were encountered: