File size: 4,586 Bytes
e8fdec6 3f78d29 e8fdec6 3f78d29 e8fdec6 2b5c64d e8fdec6 8583301 e8fdec6 3f78d29 e8fdec6 3f78d29 e8fdec6 3f78d29 e8fdec6 3f78d29 e8fdec6 3f78d29 e8fdec6 2b5c64d e8fdec6 2b5c64d e8fdec6 2b5c64d e8fdec6 8d90ccb e8fdec6 ee75274 a7d7486 8d90ccb e8fdec6 ee75274 2b5c64d ee75274 2b5c64d e8fdec6 2b5c64d e8fdec6 2b5c64d e8fdec6 927e7c6 2b5c64d e8fdec6 2b5c64d e8fdec6 3f78d29 |
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 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 |
"""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),
}
|