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README.md

@@ -1,31 +0,0 @@
----
-language:
-- en
-tags:
-- chess
-- tabular_classification
-- binary_classification
-- multiclass_classification
-pretty_name: Adult
-size_categories:
-- 1K<n<10K
-task_categories:  # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
-- tabular-classification
-configs:
-- chess
----
-# Adult
-The [Adult dataset](https://archive.ics.uci.edu/ml/datasets/Adult) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
-Census dataset including personal characteristic of a person, and their income threshold.
-
-# Configurations and tasks
-| **Configuration** | **Task**                  | **Description**          |
-|-------------------|---------------------------|--------------------------|
-| chess             | Binary classification     | Can the white piece win? |
-
-# Usage
-```python
-from datasets import load_dataset
-
-dataset = load_dataset("mstz/chess", "chess")["train"]
-```

chess/chess_rock_vs_pawn-train.parquet

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+size 45257

chess_rock_vs_pawn.py

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-"""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}}
-}"""
-
-# Dataset info
-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):
-    # dataset versions
-    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

kr-vs-kp.names

@@ -1,66 +0,0 @@
-1. Title: Chess End-Game -- King+Rook versus King+Pawn on a7
-   (usually abbreviated KRKPA7).  The pawn on a7 means it is one square
-   away from queening.  It is the King+Rook's side (white) to move.
-
-2. Sources:
-    (a) Database originally generated and described by Alen Shapiro.
-    (b) Donor/Coder: Rob Holte (holte@uottawa.bitnet).  The database
-        was supplied to Holte by Peter Clark of the Turing Institute
-        in Glasgow (pete@turing.ac.uk).
-    (c) Date: 1 August 1989
-
-3. Past Usage:
-     - Alen D. Shapiro (1983,1987), "Structured Induction in Expert Systems",
-       Addison-Wesley.  This book is based on Shapiro's Ph.D. thesis (1983)
-       at the University of Edinburgh entitled "The Role of Structured
-       Induction in Expert Systems".
-     - Stephen Muggleton (1987), "Structuring Knowledge by Asking Questions",
-       pp.218-229 in "Progress in Machine Learning", edited by I. Bratko
-       and Nada Lavrac, Sigma Press, Wilmslow, England  SK9 5BB.
-     - Robert C. Holte, Liane Acker, and Bruce W. Porter (1989),
-       "Concept Learning and the Problem of Small Disjuncts",
-       Proceedings of IJCAI.  Also available as technical report AI89-106,
-       Computer Sciences Department, University of Texas at Austin,
-       Austin, Texas 78712.
-
-4. Relevant Information:
-      The dataset format is described below.  Note: the format of this
-    database was modified on 2/26/90 to conform with the format of all
-    the other databases in the UCI repository of machine learning databases.
-
-5. Number of Instances: 3196 total
-
-6. Number of Attributes: 36
-
-7. Attribute Summaries:
-    Classes (2):  -- White-can-win ("won") and White-cannot-win ("nowin").
-          I believe that White is deemed to be unable to win if the Black pawn
-          can safely advance.
-    Attributes: see Shapiro's book.
-
-8. Missing Attributes: --  none
-
-9. Class Distribution:
-    In 1669 of the positions (52%), White can win.
-    In 1527 of the positions (48%), White cannot win.
-
-The format for instances in this database is a sequence of 37 attribute values.
-Each instance is a board-descriptions for this chess endgame.  The first
-36 attributes describe the board.  The last (37th) attribute is the
-classification: "win" or "nowin".  There are 0 missing values.
-A typical board-description is
-
-f,f,f,f,f,f,f,f,f,f,f,f,l,f,n,f,f,t,f,f,f,f,f,f,f,t,f,f,f,f,f,f,f,t,t,n,won
-
-The names of the features do not appear in the board-descriptions.
-Instead, each feature correponds to a particular position in the
-feature-value list.  For example, the head of this list is the value
-for the feature "bkblk".  The following is the list of features, in
-the order in which their values appear in the feature-value list:
-
-[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,wtoeg]
-
-In the file, there is one instance (board position) per line.
-