|
import json |
|
import gzip |
|
|
|
import datasets |
|
from datasets import Value, Sequence |
|
|
|
|
|
logger = datasets.logging.get_logger(__name__) |
|
|
|
|
|
_DESCRIPTION = """\ |
|
V2EX is a dataset curated by https://www.v2ex.com/ open data. |
|
""" |
|
|
|
_HOMEPAGE = "https://huggingface.co/datasets/Dialogue-Model-Research-Group/v2ex" |
|
|
|
_DATA_URLS = { |
|
"topic": "v2ex_topic.jsonl.gz", |
|
"replies": "v2ex_replies.jsonl.gz", |
|
"conversation": "v2ex_conversation.jsonl.gz", |
|
"context-response": "v2ex_context_response.jsonl.gz", |
|
} |
|
|
|
|
|
class V2EXConfig(datasets.BuilderConfig): |
|
"""BuilderConfig for shu.""" |
|
|
|
def __init__(self, *args, subsets, **kwargs) -> None: |
|
"""BuilderConfig for shu. |
|
Args: |
|
**kwargs: keyword arguments forwarded to super. |
|
""" |
|
super(V2EXConfig, self).__init__( |
|
*args, |
|
name="+".join(subsets), |
|
**kwargs |
|
) |
|
self.subsets = subsets |
|
|
|
|
|
class V2EX(datasets.GeneratorBasedBuilder): |
|
"""V2EX: Chinese book dataset.""" |
|
|
|
VERSION = datasets.Version("0.1.0") |
|
|
|
BUILDER_CONFIG_CLASS = V2EXConfig |
|
BUILDER_CONFIGS = [V2EXConfig(subsets=[subset]) for subset in _DATA_URLS] |
|
DEFAULT_CONFIG_NAME = "topic" |
|
|
|
def _info(self): |
|
if self.config.name == "topic": |
|
features = datasets.Features({ |
|
"id": Value("int64"), |
|
"title": Value("string"), |
|
"content": Value("string"), |
|
"content_rendered": Value("string"), |
|
"syntax": Value("int64"), |
|
"url": Value("string"), |
|
"replies": Value("int64"), |
|
"last_reply_by": Value("string"), |
|
"created": Value("int64"), |
|
"last_modified": Value("int64"), |
|
"last_touched": Value("int64"), |
|
"member": { |
|
"id": Value("int64"), |
|
"username": Value("string"), |
|
"bio": Value("string"), |
|
"website": Value("string"), |
|
"github": Value("string"), |
|
"url": Value("string"), |
|
"avatar": Value("string"), |
|
"created": Value("int64"), |
|
}, |
|
"node": { |
|
"id": Value("int64"), |
|
"url": Value("string"), |
|
"name": Value("string"), |
|
"title": Value("string"), |
|
"header": Value("string"), |
|
"footer": Value("string"), |
|
"avatar": Value("string"), |
|
"topics": Value("int64"), |
|
"created": Value("int64"), |
|
"last_modified": Value("int64"), |
|
}, |
|
"supplements": Sequence({ |
|
"id": Value("int64"), |
|
"content": Value("string"), |
|
"content_rendered": Value("string"), |
|
"syntax": Value("int64"), |
|
"created": Value("int64"), |
|
}), |
|
}) |
|
elif self.config.name == "replies": |
|
features = datasets.Features({ |
|
"id": Value(dtype="int64", id=None), |
|
"content": Value(dtype="string", id=None), |
|
"content_rendered": Value(dtype="string", id=None), |
|
"created": Value(dtype="int64", id=None), |
|
"member": { |
|
"id": Value(dtype="int64", id=None), |
|
"username": Value(dtype="string", id=None), |
|
"bio": Value(dtype="string", id=None), |
|
"website": Value(dtype="string", id=None), |
|
"github": Value(dtype="string", id=None), |
|
"url": Value(dtype="string", id=None), |
|
"avatar": Value(dtype="string", id=None), |
|
"created": Value(dtype="int64", id=None) |
|
}, |
|
"topic_id": Value(dtype="int64", id=None), |
|
}) |
|
elif self.config.name == "conversation": |
|
features = datasets.Features({ |
|
"conversation": Sequence({ |
|
"username": Value("string"), |
|
"post": Value("string"), |
|
}), |
|
"url": Value(dtype="string"), |
|
}) |
|
elif self.config.name == "context-response": |
|
features = datasets.Features({ |
|
"context": Value("string"), |
|
"response": Value("string"), |
|
}) |
|
else: |
|
raise NotImplementedError( |
|
"This dataset is not implemented." |
|
) |
|
|
|
return datasets.DatasetInfo( |
|
description=_DESCRIPTION, |
|
features=features, |
|
homepage=_HOMEPAGE, |
|
) |
|
|
|
def _split_generators(self, dl_manager): |
|
data_urls = {subset: _DATA_URLS[subset] for subset in self.config.subsets} |
|
archive = dl_manager.download(data_urls) |
|
|
|
return [ |
|
datasets.SplitGenerator( |
|
name=datasets.Split.TRAIN, |
|
gen_kwargs={ |
|
"files": { |
|
subset: archive[subset] for subset in self.config.subsets |
|
}, |
|
}, |
|
), |
|
] |
|
|
|
def _generate_examples(self, files): |
|
key = 0 |
|
for subset in files: |
|
filepath = files[subset] |
|
for line in gzip.open(filepath, "rt", encoding="utf-8"): |
|
j = json.loads(line) |
|
yield key, j |
|
key += 1 |
|
|
|
|