Datasets:
Languages:
Chinese
Multilinguality:
zh
Size Categories:
100K<n<20M
Language Creators:
shibing624
Annotations Creators:
shibing624
Source Datasets:
https://www.biendata.xyz/competition/sohu_2021/data/
Tags:
License:
| # -*- coding: utf-8 -*- | |
| """ | |
| @author:XuMing(xuming624@qq.com) | |
| @description: | |
| 2021搜狐校园文本匹配算法大赛数据集 | |
| upload： https://github.com/shibing624 | |
| """ | |
| import csv | |
| import os | |
| import json | |
| import datasets | |
| _CITATION = """https://github.com/shibing624/text2vec""" | |
| _DESCRIPTION = """\ | |
| 2021搜狐校园文本匹配算法大赛数据集 | |
| """ | |
| _DATA_URL = "https://huggingface.co/datasets/shibing624/sts-sohu2021/resolve/main" | |
| class Sohu(datasets.GeneratorBasedBuilder): | |
| """The Chinese Natural Language Inference (sts-sohu) Corpus.""" | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig( | |
| name="dda", | |
| version=datasets.Version("1.0.0", ""), | |
| description="Plain text import of sts-sohu2021", | |
| ), | |
| datasets.BuilderConfig( | |
| name="ddb", | |
| version=datasets.Version("1.0.0", ""), | |
| description="Plain text import of sts-sohu2021", | |
| ), | |
| datasets.BuilderConfig( | |
| name="dca", | |
| version=datasets.Version("1.0.0", ""), | |
| description="Plain text import of sts-sohu2021", | |
| ), | |
| datasets.BuilderConfig( | |
| name="dcb", | |
| version=datasets.Version("1.0.0", ""), | |
| description="Plain text import of sts-sohu2021", | |
| ), | |
| datasets.BuilderConfig( | |
| name="cca", | |
| version=datasets.Version("1.0.0", ""), | |
| description="Plain text import of sts-sohu2021", | |
| ), | |
| datasets.BuilderConfig( | |
| name="ccb", | |
| version=datasets.Version("1.0.0", ""), | |
| description="Plain text import of sts-sohu2021", | |
| ), | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "sentence1": datasets.Value("string"), | |
| "sentence2": datasets.Value("string"), | |
| "label": datasets.Value("int32"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage="https://github.com/shibing624/text2vec", | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| # https://huggingface.co/datasets/shibing624/sts-sohu2021/resolve/main/dda.jsonl | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "filepath": dl_manager.download_and_extract(f"{_DATA_URL}/{self.config.name}-train.jsonl") | |
| } | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={ | |
| "filepath": dl_manager.download_and_extract(f"{_DATA_URL}/{self.config.name}-test.jsonl") | |
| } | |
| ), | |
| ] | |
| def _generate_examples(self, filepath): | |
| """This function returns the examples in the raw (jsonl) form.""" | |
| id = 0 | |
| if isinstance(filepath, str): | |
| filepath = [filepath] | |
| for file in filepath: | |
| with open(file, encoding="utf-8") as f: | |
| for key, row in enumerate(f): | |
| if row and len(row) > 1: | |
| data = json.loads(row) | |
| yield id, { | |
| "sentence1": data["sentence1"], | |
| "sentence2": data["sentence2"], | |
| "label": int(data["label"]) | |
| } | |
| id += 1 |