from typing import Dict, Tuple from tqdm.autonotebook import tqdm import json import os import logging import csv logger = logging.getLogger(__name__) class GenericDataLoader: def __init__(self, data_folder: str = None, prefix: str = None, corpus_file: str = "corpus.jsonl", query_file: str = "queries.jsonl", qrels_folder: str = "qrels", qrels_file: str = ""): self.corpus = {} self.queries = {} self.qrels = {} if prefix: query_file = prefix + "-" + query_file qrels_folder = prefix + "-" + qrels_folder self.corpus_file = os.path.join(data_folder, corpus_file) if data_folder else corpus_file self.query_file = os.path.join(data_folder, query_file) if data_folder else query_file self.qrels_folder = os.path.join(data_folder, qrels_folder) if data_folder else None self.qrels_file = qrels_file @staticmethod def check(fIn: str, ext: str): if not os.path.exists(fIn): raise ValueError("File {} not present! Please provide accurate file.".format(fIn)) if not fIn.endswith(ext): raise ValueError("File {} must be present with extension {}".format(fIn, ext)) def load_custom(self) -> Tuple[Dict[str, Dict[str, str]], Dict[str, str], Dict[str, Dict[str, int]]]: self.check(fIn=self.corpus_file, ext="jsonl") self.check(fIn=self.query_file, ext="jsonl") self.check(fIn=self.qrels_file, ext="tsv") if not len(self.corpus): logger.info("Loading Corpus...") self._load_corpus() logger.info("Loaded %d Documents.", len(self.corpus)) logger.info("Doc Example: %s", list(self.corpus.values())[0]) if not len(self.queries): logger.info("Loading Queries...") self._load_queries() if os.path.exists(self.qrels_file): self._load_qrels() self.queries = {qid: self.queries[qid] for qid in self.qrels} logger.info("Loaded %d Queries.", len(self.queries)) logger.info("Query Example: %s", list(self.queries.values())[0]) return self.corpus, self.queries, self.qrels def load(self, split="test") -> Tuple[Dict[str, Dict[str, str]], Dict[str, str], Dict[str, Dict[str, int]]]: self.qrels_file = os.path.join(self.qrels_folder, split + ".tsv") self.check(fIn=self.corpus_file, ext="jsonl") self.check(fIn=self.query_file, ext="jsonl") self.check(fIn=self.qrels_file, ext="tsv") if not len(self.corpus): logger.info("Loading Corpus...") self._load_corpus() logger.info("Loaded %d %s Documents.", len(self.corpus), split.upper()) logger.info("Doc Example: %s", list(self.corpus.values())[0]) if not len(self.queries): logger.info("Loading Queries...") self._load_queries() if os.path.exists(self.qrels_file): self._load_qrels() self.queries = {qid: self.queries[qid] for qid in self.qrels} logger.info("Loaded %d %s Queries.", len(self.queries), split.upper()) logger.info("Query Example: %s", list(self.queries.values())[0]) return self.corpus, self.queries, self.qrels def load_corpus(self) -> Dict[str, Dict[str, str]]: self.check(fIn=self.corpus_file, ext="jsonl") if not len(self.corpus): logger.info("Loading Corpus...") self._load_corpus() logger.info("Loaded %d Documents.", len(self.corpus)) logger.info("Doc Example: %s", list(self.corpus.values())[0]) return self.corpus def _load_corpus(self): num_lines = sum(1 for i in open(self.corpus_file, 'rb')) with open(self.corpus_file, encoding='utf8') as fIn: for line in tqdm(fIn, total=num_lines): line = json.loads(line) self.corpus[line.get("_id")] = { "text": line.get("text"), "title": line.get("title"), } def _load_queries(self): with open(self.query_file, encoding='utf8') as fIn: for line in fIn: line = json.loads(line) self.queries[line.get("_id")] = line.get("text") def _load_qrels(self): reader = csv.reader(open(self.qrels_file, encoding="utf-8"), delimiter="\t", quoting=csv.QUOTE_MINIMAL) next(reader) for id, row in enumerate(reader): query_id, corpus_id, score = row[0], row[1], int(row[2]) if query_id not in self.qrels: self.qrels[query_id] = {corpus_id: score} else: self.qrels[query_id][corpus_id] = score