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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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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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"HomeTeamName": Value("string"), |
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"AwayTeamName": Value("string"), |
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"DateandTimeCET": Value("string"), |
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"MatchID": Value("int64"), |
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"RoundName": Value("string"), |
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"Stage": Value("string"), |
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"MatchDay": Value("int64"), |
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"Session": Value("int64"), |
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"MatchMinute": Value("int64"), |
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"InjuryTime": Value("int64"), |
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"NumberofPhases": Value("int64"), |
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"Phase": Value("int64"), |
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"ScoreHome": Value("int64"), |
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"ScoreAway": Value("int64"), |
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"MatchStatus": Value("string"), |
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"StadiumID": Value("int64"), |
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"NumberofMatchesRefereedPostMatch": Value("int64"), |
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"TotalNumberofMatchesRefereed": Value("int64"), |
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"NumberofMatchesRefereedinGroupStage": Value("int64"), |
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"NumberofMatchesRefereedinKnockoutStage": Value("int64"), |
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"AssistantRefereeWebName": Value("string"), |
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"Humidity": Value("int64"), |
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"Temperature": Value("int64"), |
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"WindSpeed": Value("int64"), |
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"MatchEvent": Features({ |
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"1-First Half": Features({ |
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"Event": Value("string"), |
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"Minute": Value("int"), |
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"Phase": Value("int"), |
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"InjuryMinute": Value("int"), |
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"TeamFromID": Value("float"), |
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"TeamToID": Value("float"), |
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"PlayerFromID": Value("float"), |
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"PlayerToID": Value("float"), |
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"Time": Value("string"), |
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"MatchEventAttribute": Value("float"), |
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}), |
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"2-Second Half": Features({ |
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"Event": Value("string"), |
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"Minute": Value("int"), |
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"Phase": Value("int"), |
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"InjuryMinute": Value("int"), |
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"TeamFromID": Value("float"), |
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"TeamToID": Value("float"), |
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"PlayerFromID": Value("float"), |
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"PlayerToID": Value("float"), |
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"Time": Value("string"), |
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"MatchEventAttribute": Value("float"), |
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}), |
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"3-Extra Time First Half": Features({ |
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"Event": Value("string"), |
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"Minute": Value("int"), |
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"Phase": Value("int"), |
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"InjuryMinute": Value("int"), |
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"TeamFromID": Value("float"), |
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"TeamToID": Value("float"), |
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"PlayerFromID": Value("float"), |
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"PlayerToID": Value("float"), |
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"Time": Value("string"), |
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"MatchEventAttribute": Value("float"), |
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}), |
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"4-Extra Time Second Half": Features({ |
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"Event": Value("string"), |
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"Minute": Value("int"), |
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"Phase": Value("int"), |
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"InjuryMinute": Value("int"), |
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"TeamFromID": Value("float"), |
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"TeamToID": Value("float"), |
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"PlayerFromID": Value("float"), |
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"PlayerToID": Value("float"), |
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"Time": Value("string"), |
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"MatchEventAttribute": Value("float"), |
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}), |
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"5-Penalty Shootout": Features({ |
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"Event": Value("string"), |
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"Minute": Value("int"), |
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"Phase": Value("int"), |
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"InjuryMinute": Value("int"), |
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"TeamFromID": Value("float"), |
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"TeamToID": Value("float"), |
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"PlayerFromID": Value("float"), |
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"PlayerToID": Value("float"), |
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"Time": Value("string"), |
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"MatchEventAttribute": Value("float"), |
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}), |
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}), |
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"TeamLineUps": Value("dict"), |
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"TeamStats": Value("dict"), |
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"PlayerStats": Value("dict"), |
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"PlayerPreMatchInfo": Value("dict"), |
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}), |
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supervised_keys=None, |
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homepage="Optional dataset homepage", |
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license= "", |
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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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# Since the final processed dataset is a single CSV file that combines the content from numerous rows to only 51 rows, |
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# with each row representing the information of each game, I wil just use a single 'train' split and no need for test / validation. |
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return [ |
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SplitGenerator( |
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name="train", |
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gen_kwargs={"filepath": "ForzaJuve1/UEFA_Euro_2020_Data"} |
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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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#} |
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