Convert dataset to Parquet

README.md

@@ -1,3 +1,24 @@
 ---
 license: apache-2.0
+dataset_info:
+  features:
+  - name: moves
+    dtype: string
+  - name: length
+    dtype: int32
+  - name: result
+    dtype: string
+  - name: checkmate
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 2229368511
+    num_examples: 4862922
+  download_size: 1458072313
+  dataset_size: 2229368511
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---

chess_games_caissabase.py

@@ -1,45 +0,0 @@
-""" Dataloader for Caissabase's chess games. """
-
-import os
-import csv
-import json
-import datasets
-
-# FILEPATH = "./chess_games_caissabase.jsonl"
-FILEPATH = "https://huggingface.co/datasets/mapama247/chess_games_caissabase/resolve/main/chess_games_caissabase.jsonl"
-
-class ChessGamesCaissabase(datasets.GeneratorBasedBuilder):
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "moves":     datasets.Value("string"),
-                "length":    datasets.Value("int32"),
-                "result":    datasets.Value("string"),
-                "checkmate": datasets.Value("bool"),
-            }
-        )
-
-        return datasets.DatasetInfo(features=features)
-
-    def _split_generators(self, dl_manager):
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": FILEPATH, 
-                    "split":    "train",
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        with open(filepath, encoding="utf-8") as f:
-            for key, row in enumerate(f):
-                data = json.loads(row)
-                yield key, {
-                    "moves":     data["moves"],
-                    "length":    data["length"],
-                    "result":    data["result"],
-                    "checkmate": data["checkmate"],
-                }

chess_games_caissabase.jsonl → data/train-00000-of-00005.parquet

@@ -1,3 +1,3 @@
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+oid sha256:a39b75e21edb81d1a5acc0c1b1a9cc68efea9d5c2b5122e888741a0b092706d5
+size 317828647

data/train-00001-of-00005.parquet

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data/train-00002-of-00005.parquet

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data/train-00003-of-00005.parquet

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data/train-00004-of-00005.parquet

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+size 269195567