File size: 1,669 Bytes
07eb921 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 | 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."},
) |