| """Chess""" |
|
|
| from typing import List |
|
|
| import datasets |
|
|
| import pandas |
|
|
|
|
| VERSION = datasets.Version("1.0.0") |
| _BASE_FEATURE_NAMES = [ |
| "bkblk", |
| "bknwy", |
| "bkon8", |
| "bkona", |
| "bkspr", |
| "bkxbq", |
| "bkxcr", |
| "bkxwp", |
| "blxwp", |
| "bxqsq", |
| "cntxt", |
| "dsopp", |
| "dwipd", |
| "hdchk", |
| "katri", |
| "mulch", |
| "qxmsq", |
| "r2ar8", |
| "reskd", |
| "reskr", |
| "rimmx", |
| "rkxwp", |
| "rxmsq", |
| "simpl", |
| "skach", |
| "skewr", |
| "skrxp", |
| "spcop", |
| "stlmt", |
| "thrsk", |
| "wkcti", |
| "wkna8", |
| "wknck", |
| "wkovl", |
| "wkpos", |
| "white_wins" |
| ] |
|
|
| DESCRIPTION = "Chess dataset from the UCI ML repository." |
| _HOMEPAGE = "https://archive.ics.uci.edu/ml/datasets/Chess" |
| _URLS = ("https://huggingface.co/datasets/mstz/chess/raw/chess.csv") |
| _CITATION = """ |
| @misc{misc_chess_(king-rook_vs._king-pawn)_22, |
| title = {{Chess (King-Rook vs. King-Pawn)}}, |
| year = {1989}, |
| howpublished = {UCI Machine Learning Repository}, |
| note = {{DOI}: \\url{10.24432/C5DK5C}} |
| }""" |
|
|
| |
| urls_per_split = { |
| "train": "https://huggingface.co/datasets/mstz/chess/raw/main/kr-vs-kp.data" |
| } |
| features_types_per_config = { |
| "chess": { |
| "bkblk": datasets.Value("string"), |
| "bknwy": datasets.Value("string"), |
| "bkon8": datasets.Value("string"), |
| "bkona": datasets.Value("string"), |
| "bkspr": datasets.Value("string"), |
| "bkxbq": datasets.Value("string"), |
| "bkxcr": datasets.Value("string"), |
| "bkxwp": datasets.Value("string"), |
| "blxwp": datasets.Value("string"), |
| "bxqsq": datasets.Value("string"), |
| "cntxt": datasets.Value("string"), |
| "dsopp": datasets.Value("string"), |
| "dwipd": datasets.Value("string"), |
| "hdchk": datasets.Value("string"), |
| "katri": datasets.Value("string"), |
| "mulch": datasets.Value("string"), |
| "qxmsq": datasets.Value("string"), |
| "r2ar8": datasets.Value("string"), |
| "reskd": datasets.Value("string"), |
| "reskr": datasets.Value("string"), |
| "rimmx": datasets.Value("string"), |
| "rkxwp": datasets.Value("string"), |
| "rxmsq": datasets.Value("string"), |
| "simpl": datasets.Value("string"), |
| "skach": datasets.Value("string"), |
| "skewr": datasets.Value("string"), |
| "skrxp": datasets.Value("string"), |
| "spcop": datasets.Value("string"), |
| "stlmt": datasets.Value("string"), |
| "thrsk": datasets.Value("string"), |
| "wkcti": datasets.Value("string"), |
| "wkna8": datasets.Value("string"), |
| "wknck": datasets.Value("string"), |
| "wkovl": datasets.Value("string"), |
| "wkpos": datasets.Value("string"), |
| "white_wins": datasets.ClassLabel(num_classes=2, names=("no", "yes")) |
| } |
| } |
| features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config} |
|
|
|
|
| class ChessConfig(datasets.BuilderConfig): |
| def __init__(self, **kwargs): |
| super(ChessConfig, self).__init__(version=VERSION, **kwargs) |
| self.features = features_per_config[kwargs["name"]] |
|
|
|
|
| class Chess(datasets.GeneratorBasedBuilder): |
| |
| DEFAULT_CONFIG = "chess" |
| BUILDER_CONFIGS = [ |
| ChessConfig(name="chess", |
| description="Chess for binary classification.") |
| ] |
|
|
|
|
| def _info(self): |
| info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE, |
| features=features_per_config[self.config.name]) |
|
|
| return info |
| |
| def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: |
| downloads = dl_manager.download_and_extract(urls_per_split) |
|
|
| return [ |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]}) |
| ] |
| |
| def _generate_examples(self, filepath: str): |
| data = pandas.read_csv(filepath) |
| data = self.preprocess(data, config=self.config.name) |
|
|
| for row_id, row in data.iterrows(): |
| data_row = dict(row) |
|
|
| yield row_id, data_row |
|
|
