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lopq-for-jamin's Introduction

Lifelong Online Product Quantization.

Dataset

Text dataset

  1. NQ-dataset Download
    • DPR official code : LINK
    • Do below scripts in DPR official code.
    cd dpr
    python data/download_data.py --resource "data.wikipedia_split.psgs_w100"
    python data/download_data.py --resource "data.retriever.nq-dev"
    python data/download_data.py --resource "data.retriever.nq-train"
    python data/download_data.py --resource "data.retriever.nq-adv-hn-train"
    - ```
    - Then copy downloads folder in this folder
    
    

Preprocessing text dataset.

  1. NQ-dataset preprocessing
    • Fill region of data/NQ_dataset/preprocessing/PREPROCESS_DATA/NQ_preprocessing.py
    # Fill here
    # Total Dataset Size: 65395
    # Data path
    NQ_DATA_PATH = "/Users/hyojungo/PycharmProjects/ai-cv-tmp/product_quantization/PQ_text_retrieval/downloads/data/retriever"
    # 1st pretraining dataset config
    PRE_TRAIN_SIZE = 60295
    PRE_TEST_SIZE = 100
    # Online Continual Dataset (T ROUND)
    NUM_ROUND = 5
    ROUND_TRAIN = 900
    ROUND_TEST = 100
    • run python NQ_preprocessing.py

Pretraining

Text pretraining

  • python pretrain_models.py

Online Continual training

  • python online_continual.py

lopq-for-jamin's People

Contributors

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Stargazers

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Watchers

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