|
|
|
""" |
|
@author:XuMing([email protected]) |
|
@description: |
|
""" |
|
|
|
"""Natural Language Inference (NLI) Chinese Corpus.(nli_zh)""" |
|
|
|
import os |
|
|
|
import datasets |
|
|
|
_DESCRIPTION = """纯文本数据，格式：（sentence1， sentence2， label）。常见中文语义匹配数据集，包含ATEC、BQ、LCQMC、PAWSX、STS-B共5个任务。""" |
|
|
|
ATEC_HOME = "https://github.com/IceFlameWorm/NLP_Datasets/tree/master/ATEC" |
|
BQ_HOME = "http://icrc.hitsz.edu.cn/info/1037/1162.htm" |
|
LCQMC_HOME = "http://icrc.hitsz.edu.cn/Article/show/171.html" |
|
PAWSX_HOME = "https://arxiv.org/abs/1908.11828" |
|
STSB_HOME = "https://github.com/pluto-junzeng/CNSD" |
|
|
|
_CITATION = "https://github.com/shibing624/text2vec" |
|
|
|
_DATA_URL = "https://github.com/shibing624/text2vec/releases/download/1.1.2/senteval_cn.zip" |
|
|
|
|
|
class NliZhConfig(datasets.BuilderConfig): |
|
"""BuilderConfig for NLI_zh""" |
|
|
|
def __init__(self, features, data_url, citation, url, label_classes=(0, 1), **kwargs): |
|
"""BuilderConfig for NLI_zh |
|
Args: |
|
features: `list[string]`, list of the features that will appear in the |
|
feature dict. Should not include "label". |
|
data_url: `string`, url to download the zip file from. |
|
citation: `string`, citation for the data set. |
|
url: `string`, url for information about the data set. |
|
label_classes: `list[int]`, sim is 1, else 0. |
|
**kwargs: keyword arguments forwarded to super. |
|
""" |
|
super().__init__(version=datasets.Version("1.0.0"), **kwargs) |
|
self.features = features |
|
self.label_classes = label_classes |
|
self.data_url = data_url |
|
self.citation = citation |
|
self.url = url |
|
|
|
|
|
class NliZh(datasets.GeneratorBasedBuilder): |
|
"""The Natural Language Inference Chinese(NLI_zh) Corpus.""" |
|
|
|
BUILDER_CONFIGS = [ |
|
NliZhConfig( |
|
name="ATEC", |
|
description=_DESCRIPTION, |
|
features=["sentence1", "sentence1"], |
|
data_url=_DATA_URL, |
|
citation=_CITATION, |
|
url=ATEC_HOME, |
|
), |
|
NliZhConfig( |
|
name="BQ", |
|
description=_DESCRIPTION, |
|
features=["sentence1", "sentence1"], |
|
data_url=_DATA_URL, |
|
citation=_CITATION, |
|
url=BQ_HOME, |
|
), |
|
NliZhConfig( |
|
name="LCQMC", |
|
description=_DESCRIPTION, |
|
features=["sentence1", "sentence1"], |
|
data_url=_DATA_URL, |
|
citation=_CITATION, |
|
url=LCQMC_HOME, |
|
), |
|
NliZhConfig( |
|
name="PAWSX", |
|
description=_DESCRIPTION, |
|
features=["sentence1", "sentence1"], |
|
data_url=_DATA_URL, |
|
citation=_CITATION, |
|
url=PAWSX_HOME, |
|
), |
|
NliZhConfig( |
|
name="STS-B", |
|
description=_DESCRIPTION, |
|
features=["sentence1", "sentence1"], |
|
data_url=_DATA_URL, |
|
citation=_CITATION, |
|
url=STSB_HOME, |
|
), |
|
] |
|
|
|
def _info(self): |
|
return datasets.DatasetInfo( |
|
description=self.config.description, |
|
features=datasets.Features( |
|
{ |
|
"sentence1": datasets.Value("string"), |
|
"sentence2": datasets.Value("string"), |
|
"label": datasets.Value("int32"), |
|
|
|
} |
|
), |
|
homepage=self.config.url, |
|
citation=self.config.citation, |
|
) |
|
|
|
def _split_generators(self, dl_manager): |
|
dl_dir = dl_manager.download_and_extract(self.config.data_url) or "" |
|
dl_dir = os.path.join(dl_dir, f"senteval_cn/{self.config.name}") |
|
return [ |
|
datasets.SplitGenerator( |
|
name=datasets.Split.TRAIN, |
|
gen_kwargs={ |
|
"filepath": os.path.join(dl_dir, f"{self.config.name}.train.data"), |
|
}, |
|
), |
|
datasets.SplitGenerator( |
|
name=datasets.Split.VALIDATION, |
|
gen_kwargs={ |
|
"filepath": os.path.join(dl_dir, f"{self.config.name}.valid.data"), |
|
}, |
|
), |
|
datasets.SplitGenerator( |
|
name=datasets.Split.TEST, |
|
gen_kwargs={ |
|
"filepath": os.path.join(dl_dir, f"{self.config.name}.test.data"), |
|
}, |
|
), |
|
] |
|
|
|
def _generate_examples(self, filepath): |
|
"""This function returns the examples in the raw (text) form.""" |
|
with open(filepath, 'r', encoding="utf-8") as f: |
|
for idx, row in enumerate(f): |
|
|
|
terms = row.split('\t') |
|
yield idx, { |
|
"sentence1": terms[0], |
|
"sentence2": terms[1], |
|
"label": int(terms[2]), |
|
} |
|
|
