| """PRES retrieval dataset""" | |
| import json | |
| import csv | |
| import os | |
| import datasets | |
| _DESCRIPTION = 'Reference: https://mklab.iti.gr/results/spanish-passage-retrieval-dataset/' | |
| _HOMEPAGE_URL = 'https://mklab.iti.gr/results/spanish-passage-retrieval-dataset/' | |
| _LANGUAGES = {'es': 'ES'} | |
| _VERSION = '1.0.0' | |
| URL = 'https://huggingface.co/datasets/jinaai/spanish_passage_retrieval/resolve/main/' | |
| class PRESConfig(datasets.BuilderConfig): | |
| """BuilderConfig for PRESConfig.""" | |
| def __init__(self, **kwargs): | |
| super(PRESConfig, self).__init__( | |
| version=datasets.Version(_VERSION, ''), **kwargs | |
| ), | |
| class PRES(datasets.GeneratorBasedBuilder): | |
| """The Spanish Passage Retrieval dataset (PRES)""" | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig( | |
| name=name, | |
| description=f'{name.title()} of the Spanish Passage Retrieval dataset.', | |
| ) | |
| for name in ['corpus.sentences', 'corpus.documents', 'queries', 'qrels.s2s', 'qrels.s2p'] | |
| ] | |
| BUILDER_CONFIG_CLASS = PRESConfig | |
| def __init__(self, *args, **kwargs): | |
| super().__init__(*args, **kwargs) | |
| self._data = None | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "_id": datasets.Value("string"), | |
| "text": datasets.Value("string"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE_URL, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TEST), | |
| ] | |
| def _generate_examples( | |
| self, | |
| split: str = None, | |
| ): | |
| if not self._data: | |
| with open(os.path.join(URL, 'docs.json')) as f: | |
| docs = json.load(f) | |
| with open(os.path.join(URL, 'topics.json')) as f: | |
| topics = json.load(f) | |
| with open(os.path.join(URL, 'relevance_passages.json')) as f: | |
| rel_passages = json.load(f) | |
| corpus_sentences = [] | |
| corpus_documents = [] | |
| queries = dict() | |
| qrels_s2s = dict() | |
| qrels_s2p = dict() | |
| topic_to_queries = dict() | |
| for topic in topics['topics']: | |
| topic_to_queries[topic['number']] = [] | |
| for query in topic['queries']: | |
| qid = query['number'] | |
| queries[qid] = query['text'] | |
| topic_to_queries[topic['number']].append(qid) | |
| qrels_s2s[qid] = [] | |
| qrels_s2p[qid] = [] | |
| known_passage_ids = set() | |
| for annotated_topic in rel_passages['topics']: | |
| topic = annotated_topic['number'] | |
| for annotation in annotated_topic['annotations']: | |
| passage_id = f'doc_{annotation["docNo"]}_{annotation["start"]}_{annotation["end"]}' | |
| doc_id = f'doc_{annotation["docNo"]}' | |
| if passage_id not in known_passage_ids: | |
| corpus_sentences.append({'_id': passage_id, 'text': annotation['text']}) | |
| known_passage_ids.add(passage_id) | |
| for qid in topic_to_queries[topic]: | |
| qrels_s2s[qid].append(passage_id) | |
| qrels_s2p[qid].append(doc_id) | |
| for doc in docs['documents']: | |
| doc_id = f'doc_{doc["docNo"]}' | |
| corpus_documents.append({'_id': doc_id, 'text': doc['text']}) | |
| self._data = { | |
| 'corpus.sentences': corpus_sentences, | |
| 'corpus.documents': corpus_documents, | |
| 'queries': queries, | |
| 'qrels.s2s': qrels_s2s, | |
| 'qrels.s2p': qrels_s2p | |
| } | |
| if self.config.name not in self._data: | |
| raise ValueError(f'Unknown config name: {self.config.name}') | |
| if self.config.name.startswith('corpus'): | |
| for line in self._data[self.config.name]: | |
| yield line['_id'], line | |
| elif self.config.name == 'queries': | |
| for qid, query in self._data['queries'].items(): | |
| yield qid, { | |
| "_id": qid, | |
| "text": query, | |
| } | |
| elif self.config.name.startswith('qrels'): | |
| for qid, dids in self._data[self.config.name].items(): | |
| yield qid, { | |
| "_id": qid, | |
| "text": ' '.join(dids), | |
| } | |