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import json
import datasets
import traceback
import os
logger = datasets.logging.get_logger(__name__)
_DESCRIPTION = "CCI is a Chinese webtext dataset."
_URL_LISTS = {
"webtext": "urls/webtext.txt",
}
class CCIDataConfig(datasets.BuilderConfig):
def __init__(self, *args, subsets, **kwargs):
super(CCIDataConfig, self).__init__(**kwargs)
self.subsets = subsets
class CCIData(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
CCIDataConfig(
name = 'default',
subsets = list(_URL_LISTS.keys()),
version=datasets.Version("1.0.0", ""),
description="CCI",
),
CCIDataConfig(
name = 'webtext',
subsets = ['webtext'],
version=datasets.Version("1.0.0", ""),
description="CCI webtext subset",
)
]
DEFAULT_CONFIG_NAME = "webtext"
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"id": datasets.Value("string"),
"content": datasets.Value("string")
}
),
supervised_keys=None,
)
def _split_generators(self, dl_manager):
url_lists = dl_manager.download_and_extract({
subset: _URL_LISTS[subset] for subset in self.config.subsets
})
urls = {}
for subset, url_list in url_lists.items():
with open(url_list, encoding="utf-8") as f:
urls[subset] = [line.strip() for line in f]
downloaded_files = dl_manager.download(urls)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs = {
"files": {
subset: downloaded_files[subset]
for subset in self.config.subsets
}
}
)
]
def _generate_examples(self, files):
key = 0
for subset in files:
for path in files[subset]:
with open(path, encoding="utf-8") as f:
for i, row in enumerate(f):
try:
data = json.loads(row)
yield key, {
"id": data["id"],
"content": data["content"]
}
key += 1
except Exception as e:
print(f'Subset: {subset}')
print(f'Path: {path}')
print(f'Row: {row}')
traceback.print_exc()
raise e
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