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Update Integration

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  1. Integration +53 -0
Integration CHANGED
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+ from datasets import DatasetBuilder, DatasetInfo, Features, Value, SplitGenerator
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+ import pandas as pd
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+
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+ class Euro2020Dataset(DatasetBuilder):
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+ VERSION = "1.0.0" # Change as needed
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+ BUILDER_CONFIGS = ["euro2020"] # Not strictly necessary but useful for multiple datasets
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+
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+ def _info(self):
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+ return DatasetInfo(
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+ description="Your dataset description here.",
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+ features=Features({
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+ "PlayerID": Value("int32"),
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+ "PlayerName": Value("string"),
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+ "PlayerSurname": Value("string"),
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+ "IsGoalkeeper": Value("bool"),
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+ "PlayedTime": Value("int32"),
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+ "StatsID": Value("int32"),
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+ "StatsName": Value("string"),
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+ "Value": Value("string"), # Adjust according to actual content type
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+ "Rank": Value("int32"),
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+ # Add or remove columns as needed
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+ }),
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+ supervised_keys=None,
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+ homepage="Optional dataset homepage",
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+ citation="Optional citation",
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ # Here you define how the data should be split (train, test, validation, etc.)
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+ # Since you have a single CSV file, let's assume a single 'train' split for simplicity
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+ return [
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+ SplitGenerator(
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+ name="train",
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+ gen_kwargs={"filepath": "path/to/your/euro2020.csv"}
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+ ),
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+ ]
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+
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+ def _generate_examples(self, filepath):
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+ # Here we read the CSV file and yield examples
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+ data = pd.read_csv(filepath)
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+ for idx, row in data.iterrows():
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+ yield idx, {
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+ "PlayerID": row["PlayerID"],
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+ "PlayerName": row["PlayerName"],
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+ "PlayerSurname": row["PlayerSurname"],
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+ "IsGoalkeeper": row["IsGoalkeeper"],
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+ "PlayedTime": row["PlayedTime"],
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+ "StatsID": row["StatsID"],
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+ "StatsName": row["StatsName"],
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+ "Value": row["Value"],
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+ "Rank": row["Rank"],
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+ # Make sure to include all fields defined in _info
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+ }