| 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 |
|
|
|
|
