| from dataclasses import dataclass, field |
| from typing import Optional, List |
|
|
|
|
| @dataclass |
| class QueryEncoderArgs: |
| model_name_or_path: str = field( |
| default="facebook/dpr-question_encoder-single-nq-base", |
| metadata={ |
| "help": "Path to pretrained model or model identifier from huggingface.co/models" |
| }, |
| ) |
| cache_dir: str = field( |
| default="/share/LMs", |
| metadata={"help": "The path to save pretrain model."}, |
| ) |
| device: str = field( |
| default="cuda:0", |
| metadata={"help": "The device to run query encoder."}, |
| ) |
|
|
|
|
| @dataclass |
| class SearcherArgs: |
| index_dir: str = field( |
| default="/share/ninglu_shao/code/Citation/faiss.wikipedia-dpr-100w.dpr_single-nq.20200115.cd5034", |
| metadata={"help": "The path to index."}, |
| ) |
| doc_path: str = field( |
| default="/share/ninglu_shao/data/Citation/psgs_w100.jsonl", |
| metadata={"help": "The path to document."}, |
| ) |
|
|
|
|
| @dataclass |
| class DataArgs: |
| dataset_list: List[str] = field( |
| default_factory=lambda: ["asqa"], |
| metadata={"help": "The name of dataset."}, |
| ) |
| dataset_dir: str = field( |
| default="/share/ninglu_shao/data/Citation", |
| metadata={"help": "The path to dataset."}, |
| ) |
| save_dir: str = field( |
| default="data/output", |
| metadata={"help": "The path to save retrieved dataset."}, |
| ) |
|
|
|
|
| @dataclass |
| class RetrieveArgs: |
| k: int = field( |
| default=5, |
| metadata={"help": "The number of retrieved results."}, |
| ) |
|
|
|
|
| @dataclass |
| class Args: |
| trial_num: int = field( |
| default=5, |
| metadata={"help": "The number of trial."}, |
| ) |