Delete open2ch.py

open2ch.py

@@ -1,348 +0,0 @@
-"""おーぷん2ちゃんねる対話コーパス"""
-
-from typing import Iterable
-
-import csv
-import os
-
-import datasets as ds
-
-
-_CITATION = """\
-@inproceedings{open2chdlc2019,
-  title={おーぷん2ちゃんねる対話コーパスを用いた用例ベース対話システム},
-  author={稲葉 通将},
-  booktitle={第87回言語・音声理解と対話処理研究会(第10回対話システムシンポジウム), 人工知能学会研究会資料 SIG-SLUD-B902-33},
-  pages={129--132},
-  year={2019}
-}
-"""
-
-_DESCRIPTION = """\
-おーぷん2ちゃんねるの「なんでも実況(ジュピター)」「ニュー速VIP」「ニュース速報+」の3つの掲示板をクロールして作成した対話コーパスの HuggingFace Datasets 変換版です。
-"""
-
-_HOMEPAGE = "https://github.com/1never/open2ch-dialogue-corpus"
-
-_LICENSE = "Apache-2.0"
-
-_URLS = {
-    "corpus": "https://media.githubusercontent.com/media/1never/open2ch-dialogue-corpus/master/corpus.zip",
-    "ranking": "https://raw.githubusercontent.com/1never/open2ch-dialogue-corpus/master/ranking.zip",
-    "ng_words": "https://raw.githubusercontent.com/1never/open2ch-dialogue-corpus/master/data/ng_words.txt",
-}
-
-
-# Load corpus data from file
-def load_corpus(filepath: str, ng_words: list[str] = []) -> Iterable[list]:
-    with open(filepath, "r", encoding="utf-8") as f:
-        reader = csv.reader(f, delimiter="\t")
-
-        for row in reader:
-            dialogue = []
-            should_skip = False
-
-            for i, content in enumerate(row):
-                for word in ng_words:  # NG ワード含んでいたらスキップ
-                    if word in content:
-                        should_skip = True
-                        break
-                if should_skip:
-                    break
-
-                if i % 2 == 0:
-                    dialogue.append(
-                        {"speaker": 1, "content": content.replace("__BR__", "\n")}
-                    )
-                else:
-                    dialogue.append(
-                        {"speaker": 2, "content": content.replace("__BR__", "\n")}
-                    )
-
-            if should_skip:
-                continue
-
-            yield dialogue
-
-
-# Load ranking data from file
-def load_ranking(filepath: str, split: str) -> Iterable[dict]:
-    with open(os.path.join(filepath, f"{split}.tsv"), "r", encoding="utf-8") as f:
-        reader = csv.reader(f, delimiter="\t")
-
-        data = {
-            "dialogue": [],
-            "next": {},
-            "random": [],
-        }
-        dialogue_len = 0
-
-        for i, row in enumerate(reader):
-            if i % 10 == 0:
-                dialogue_len = len(row)
-                for j, content in enumerate(row[1:-1]):  # [0] は使わない
-                    if j % 2 == 0:
-                        data["dialogue"].append(
-                            {"speaker": 1, "content": content.replace("__BR__", "\n")}
-                        )
-                    else:
-                        data["dialogue"].append(
-                            {"speaker": 2, "content": content.replace("__BR__", "\n")}
-                        )
-                data["next"] = {
-                    "speaker": 1 if dialogue_len % 2 == 1 else 2,
-                    "content": row[-1].replace("__BR__", "\n"),
-                }
-
-            elif i % 10 >= 1 and i % 10 <= 8:
-                data["random"].append(row[-1].replace("__BR__", "\n"))
-            elif i % 10 == 9:
-                data["random"].append(row[-1].replace("__BR__", "\n"))
-
-                yield data
-
-                data = {
-                    "dialogue": [],
-                    "next": {},
-                    "random": [],
-                }
-                dialogue_len = 0
-
-
-# Load NG words from file
-def load_ng_words(filepath) -> list[str]:
-    data = []
-    with open(filepath, "r", encoding="utf-8") as f:
-        for line in f:
-            data.append(line.strip())
-    return data
-
-
-class Open2chDataset(ds.GeneratorBasedBuilder):
-    VERSION = ds.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        ds.BuilderConfig(
-            name="all-corpus",
-            version=VERSION,
-            description="All concatenated corpus data",
-        ),
-        ds.BuilderConfig(
-            name="livejupiter",
-            version=VERSION,
-            description="A subset of corpus data from livejupiter board",
-        ),
-        ds.BuilderConfig(
-            name="news4vip",
-            version=VERSION,
-            description="A subset of corpus data from news4vip board",
-        ),
-        ds.BuilderConfig(
-            name="newsplus",
-            version=VERSION,
-            description="A subset of corpus data from newsplus board",
-        ),
-        ds.BuilderConfig(
-            name="all-corpus-cleaned",
-            version=VERSION,
-            description="Cleaned version of all concatenated corpus data",
-        ),
-        ds.BuilderConfig(
-            name="livejupiter-cleaned",
-            version=VERSION,
-            description="Cleaned version of a subset of corpus data from livejupiter board",
-        ),
-        ds.BuilderConfig(
-            name="news4vip-cleaned",
-            version=VERSION,
-            description="Cleaned version of a subset of corpus data from news4vip board",
-        ),
-        ds.BuilderConfig(
-            name="newsplus-cleaned",
-            version=VERSION,
-            description="Cleaned version of a subset of corpus data from newsplus board",
-        ),
-        ds.BuilderConfig(
-            name="ranking",
-            version=VERSION,
-            description="Dataset for response ranking task",
-        ),
-    ]
-
-    DEFAULT_CONFIG_NAME = "all-corpus"
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-
-        OVER_SIZE_LIMIT = 6_000_000
-        csv.field_size_limit(OVER_SIZE_LIMIT)
-
-    def _info(self):
-        if self.config.name in ["all-corpus", "all-corpus-cleaned"]:
-            features = ds.Features(
-                {
-                    "dialogue": ds.Sequence(
-                        {
-                            "speaker": ds.Value("int8"),  # 1 or 2
-                            "content": ds.Value("string"),
-                        }
-                    ),
-                    "board": ds.Value("string"),
-                }
-            )
-        elif self.config.name in [
-            "livejupiter",
-            "news4vip",
-            "newsplus",
-            "livejupiter-cleaned",
-            "news4vip-cleaned",
-            "newsplus-cleaned",
-        ]:
-            features = ds.Features(
-                {
-                    "dialogue": ds.Sequence(
-                        {
-                            "speaker": ds.Value("int8"),  # 1 or 2
-                            "content": ds.Value("string"),
-                        }
-                    ),
-                }
-            )
-        elif self.config.name == "ranking":
-            features = ds.Features(
-                {
-                    "dialogue": ds.Sequence(
-                        {
-                            "speaker": ds.Value("int8"),  # 1 or 2
-                            "content": ds.Value("string"),
-                        }
-                    ),
-                    "next": {  # 正しい返答
-                        "speaker": ds.Value("int8"),  # 1 or 2
-                        "content": ds.Value("string"),
-                    },
-                    "random": ds.Sequence(  # ランダムに選ばれた返答
-                        ds.Value("string"),
-                    ),
-                }
-            )
-        else:
-            raise ValueError("Invalid config name")
-
-        return ds.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        corpus_url = _URLS["corpus"]
-        ng_words_url = _URLS["ng_words"]
-
-        if self.config.name in ["all-corpus", "livejupiter", "news4vip", "newsplus"]:
-            data_dir = dl_manager.download_and_extract(corpus_url)
-
-            return [
-                ds.SplitGenerator(
-                    name=ds.Split.TRAIN,
-                    gen_kwargs={
-                        "filepath": os.path.join(data_dir, "corpus"),
-                    },
-                ),
-            ]
-        elif self.config.name in [
-            "all-corpus-cleaned",
-            "livejupiter-cleaned",
-            "news4vip-cleaned",
-            "newsplus-cleaned",
-        ]:
-            data_dir = dl_manager.download_and_extract(corpus_url)
-            ng_words_dir = dl_manager.download(ng_words_url)
-
-            return [
-                ds.SplitGenerator(
-                    name=ds.Split.TRAIN,
-                    gen_kwargs={
-                        "filepath": os.path.join(data_dir, "corpus"),
-                        "ng_words_path": ng_words_dir,
-                    },
-                ),
-            ]
-        elif self.config.name == "ranking":
-            ranking_url = _URLS["ranking"]
-            data_dir = dl_manager.download_and_extract(ranking_url)
-
-            return [
-                ds.SplitGenerator(
-                    name=ds.Split.TRAIN,
-                    gen_kwargs={
-                        "filepath": os.path.join(data_dir, "ranking"),
-                        "split": "dev",
-                    },
-                ),
-                ds.SplitGenerator(
-                    name=ds.Split.TEST,
-                    gen_kwargs={
-                        "filepath": os.path.join(data_dir, "ranking"),
-                        "split": "test",
-                    },
-                ),
-            ]
-
-    def _generate_examples(
-        self,
-        filepath: str,
-        split: str = "train",
-        ng_words_path: str | None = None,
-    ):
-        livejupiter_path = os.path.join(filepath, "livejupiter.tsv")
-        news4vip_path = os.path.join(filepath, "news4vip.tsv")
-        newsplus_path = os.path.join(filepath, "newsplus.tsv")
-
-        ng_words = load_ng_words(ng_words_path) if ng_words_path is not None else []
-
-        if self.config.name == "all-corpus":
-            for i, data in enumerate(load_corpus(livejupiter_path, ng_words)):
-                yield f"livejupiter-{i}", {
-                    "dialogue": data,
-                    "board": "livejupiter",
-                }
-
-            for i, data in enumerate(load_corpus(news4vip_path, ng_words)):
-                yield f"news4vip-{i}", {
-                    "dialogue": data,
-                    "board": "news4vip",
-                }
-
-            for i, data in enumerate(load_corpus(newsplus_path, ng_words)):
-                yield f"newsplus-{i}", {
-                    "dialogue": data,
-                    "board": "newsplus",
-                }
-
-        elif self.config.name.startswith("livejupiter"):
-            for i, data in enumerate(load_corpus(livejupiter_path, ng_words)):
-                yield f"livejupiter-{i}", {
-                    "dialogue": data,
-                }
-
-        elif self.config.name.startswith("news4vip"):
-            for i, data in enumerate(load_corpus(news4vip_path, ng_words)):
-                yield f"news4vip-{i}", {
-                    "dialogue": data,
-                }
-
-        elif self.config.name.startswith("newsplus"):
-            for i, data in enumerate(load_corpus(newsplus_path, ng_words)):
-                yield f"newsplus-{i}", {
-                    "dialogue": data,
-                }
-
-        elif self.config.name == "ranking":
-            for i, data in enumerate(load_ranking(filepath, split)):
-                yield f"ranking-{split}-{i}", data
-
-        else:
-            raise ValueError("Invalid config name")