File size: 3,174 Bytes
b6f487c |
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 |
"""
MNBVC: Massive Never-ending BT Vast Chinese corpus
"""
import json
import datasets
import numpy as np
import traceback
from .meta import MNBVC_META
from .features import Features
_CITATION = """\
"""
_DESCRIPTION = """\
MNBVC-core: core split of Massive Never-ending BT Vast Chinese corpus
"""
_HOMEPAGE = "https://github.com/esbatmop/MNBVC"
_LICENSE = "MIT"
class MNBVC(datasets.GeneratorBasedBuilder):
# multi configurations 配置
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name=key, version=datasets.Version("0.0.1"), description=value['description']) for key, value in MNBVC_META.items()]
def _info(self):
"""
dataset 的关键属性信息
"""
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=Features[MNBVC_META[self.config.name]['feature_type']],
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""
下载数据，组织split
"""
data_dir = dl_manager.download_and_extract(MNBVC_META[self.config.name]['files'])
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"data_files": data_dir,
},
),
]
# 生成器：id 和数据元素的元祖
def _generate_examples(self, data_files):
id = 0
features = self._info().features
feature_keys = set(features.keys())
def _drop_unused_keys(data):
rm_keys = []
for key in data.keys():
if key not in feature_keys:
rm_keys.append(key)
for key in rm_keys:
del data[key]
return data
try:
for file_i, data_file in enumerate(data_files):
with open(data_file, encoding="utf-8") as f:
for line_i, line in enumerate(f):
id += 1
data = json.loads(line)
if self.config.name == 'law_judgement':
text = data['详情']
del data['详情']
yield id, {
"text": text,
"meta": json.dumps(data, ensure_ascii=False),
}
else:
data = _drop_unused_keys(data)
if 'simhash' in data: # for issue https://github.com/huggingface/datasets/issues/6007
data['simhash'] = str(data['simhash'])
yield id, data
except Exception as e:
error_msg = 'oops, we find an error when loading the dataset\n'
error_msg += f'Dataset: {self.config.name}\n'
error_msg += f'Data File: {file_i} {data_file}\n'
error_msg += f'Row: {line_i}'
print(error_msg)
traceback.print_exc()
raise e
|