import csv import json import os import datasets _DESCRIPTION = "FIQA Dataset" _SPLITS = ["corpus", "topics", "qrel"] _URLs = { "corpus": "corpus_pt.tsv", "topics": "topics_pt.tsv", "qrel": "qrels.tsv", } class BEIR(datasets.GeneratorBasedBuilder): """BEIR BenchmarkDataset.""" BUILDER_CONFIGS = [ datasets.BuilderConfig( name=name, description=f"This is the {name} in the FiQA dataset.", ) for name in _SPLITS ] def _info(self): if self.config.name in ["corpus", "topics"]: features = datasets.Features( { "id": datasets.Value("string"), "text": datasets.Value("string") } ) else: features = datasets.Features( { "query_id": datasets.Value("string"), "doc_id": datasets.Value("string"), "rel": datasets.Value("string") } ) return datasets.DatasetInfo( description=_DESCRIPTION, features=features ) def _split_generators(self, dl_manager): """Returns SplitGenerators.""" my_urls = _URLs[self.config.name] data_dir = dl_manager.download_and_extract(my_urls) return [ datasets.SplitGenerator( name=self.config.name, # These kwargs will be passed to _generate_examples gen_kwargs={"filepath": data_dir}, ), ] # method parameters are unpacked from `gen_kwargs` as given in `_split_generators` def _generate_examples(self, filepath): with open(filepath, encoding="utf-8") as f: if self.config.name in ["corpus", "topics"]: for line in f: fields = line.strip().split("\t") idx = fields[0] text = fields[1] yield idx, text else: for line in f: if "query-id" not in line: fields = line.strip().split("\t") query_id = fields[0] doc_id = fields[1] rel = int(fields[2]) yield query_id, doc_id, rel