|
"""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"), |
|
"wtoeg": 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) |
|
|
|
for row_id, row in data.iterrows(): |
|
data_row = dict(row) |
|
|
|
yield row_id, data_row |
|
|
