diff --git a/README.md b/README.md index 94ff239..aa65469 100644 --- a/README.md +++ b/README.md @@ -2,21 +2,7 @@ > More explanations of our codes are in 🔎[TEAM-IKYO's WIKI](https://github.com/TEAM-IKYO/Open-Domain-Question-Answering/wiki) - -

- -

- - -## 🥇 Final Scores -||Public Leaderboard|Private Leaderboard| -| :----------: | :--------: | :--------: | -||![image](https://user-images.githubusercontent.com/59340911/119259895-4dbfa700-bc0b-11eb-9633-6eb4d4c633d7.png)|![image](https://user-images.githubusercontent.com/59340911/119259913-5d3ef000-bc0b-11eb-8c10-2f667e960d31.png)| -|**Score**|1st|1st| -|**EM**|72.92|70.00| -|**F1**|81.52|79.78| - ---- +![TEAM-IKYO’s ODQA Final Score_v3](https://user-images.githubusercontent.com/45359366/121469986-6ea03e80-c9f8-11eb-9fd1-355e50537450.png) ## 💻 Task Description > More Description can be found at [AI Stages](http://boostcamp.stages.ai/competitions/31/overview/description) @@ -31,3 +17,44 @@ The model we'll create in this competition is made up of 2 stages.The first stag ![image](https://user-images.githubusercontent.com/59340911/119260915-f1ab5180-bc0f-11eb-9ddc-cad4585bc8ce.png) --- + +## 🗂 Directory +``` +p3-mrc-team-ikyo +├── code +│ ├── arguments.py +│ ├── data_processing.py +│ ├── elasticsearch_retrieval.py +│ ├── inference.py +│ ├── mask.py +│ ├── mk_retrieval_dataset.py +│ ├── model +│ │ ├── ConvModel.py +│ │ ├── QAConvModelV1.py +│ │ ├── QAConvModelV2.py +│ │ └── QueryAttentionModel.py +│ ├── prepare_dataset.py +│ ├── question_labeling +│ │ ├── data_set.py +│ │ ├── question_labeling.py +│ │ └── train.py +│ ├── requirements.txt +│ ├── retrieval_dataset.py +│ ├── retrieval_inference.py +│ ├── retrieval_model.py +│ ├── retrieval_train.py +│ ├── run_elastic_search.py +│ ├── script +│ │ ├── inference.sh +│ │ ├── pretrain.sh +│ │ ├── retrieval_inference.sh +│ │ ├── retrieval_prepare_dataset.sh +│ │ ├── retrieval_train.sh +│ │ ├── run_elastic_search.sh +│ │ └── train.sh +│ ├── train_mrc.py +│ ├── trainer_qa.py +│ └── utils_qa.py +└── etc + └── my_stop_dic.txt +```