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from datasets import DatasetBuilder, DatasetInfo, Features, Value, SplitGenerator |
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import pandas as pd |
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class Euro2020Dataset(DatasetBuilder): |
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VERSION = "1.0.0" |
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BUILDER_CONFIGS = ["euro2020"] |
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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"), |
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"Rank": Value("int32"), |
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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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def _split_generators(self, dl_manager): |
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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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def _generate_examples(self, filepath): |
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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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} |
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