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README.md

@@ -1,3 +1,31 @@
 ---
-license: cc
+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_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"),
+        "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)
+        data = self.preprocess(data, config=self.config.name)
+
+        for row_id, row in data.iterrows():
+            data_row = dict(row)
+
+            yield row_id, data_row

kr-vs-kp.names

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+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.
+