from datasets import Dataset, DatasetBuilder, DatasetInfo, Features, Value, SplitGenerator import pandas as pd class Euro2020Dataset(DatasetBuilder): VERSION = "1.0.0" def _info(self): return DatasetInfo( description="Your dataset description here.", features=Features({ "HomeTeamName": Value("string"), "AwayTeamName": Value("string"), "DateandTimeCET": Value("string"), "MatchID": Value("int64"), "RoundName": Value("string"), "Stage": Value("string"), "MatchDay": Value("int64"), "Session": Value("int64"), "MatchMinute": Value("int64"), "InjuryTime": Value("int64"), "NumberofPhases": Value("int64"), "Phase": Value("int64"), "ScoreHome": Value("int64"), "ScoreAway": Value("int64"), "MatchStatus": Value("string"), "StadiumID": Value("int64"), "NumberofMatchesRefereedPostMatch": Value("int64"), "TotalNumberofMatchesRefereed": Value("int64"), "NumberofMatchesRefereedinGroupStage": Value("int64"), "NumberofMatchesRefereedinKnockoutStage": Value("int64"), "AssistantRefereeWebName": Value("string"), "Humidity": Value("int64"), "Temperature": Value("int64"), "WindSpeed": Value("int64"), "MatchEvent": Features({ "1-First Half": Features({ "Event": Value("string"), "Minute": Value("int"), "Phase": Value("int"), "InjuryMinute": Value("int"), "TeamFromID": Value("float"), "TeamToID": Value("float"), "PlayerFromID": Value("float"), "PlayerToID": Value("float"), "Time": Value("string"), "MatchEventAttribute": Value("float"), }), "2-Second Half": Features({ "Event": Value("string"), "Minute": Value("int"), "Phase": Value("int"), "InjuryMinute": Value("int"), "TeamFromID": Value("float"), "TeamToID": Value("float"), "PlayerFromID": Value("float"), "PlayerToID": Value("float"), "Time": Value("string"), "MatchEventAttribute": Value("float"), }), "3-Extra Time First Half": Features({ "Event": Value("string"), "Minute": Value("int"), "Phase": Value("int"), "InjuryMinute": Value("int"), "TeamFromID": Value("float"), "TeamToID": Value("float"), "PlayerFromID": Value("float"), "PlayerToID": Value("float"), "Time": Value("string"), "MatchEventAttribute": Value("float"), }), "4-Extra Time Second Half": Features({ "Event": Value("string"), "Minute": Value("int"), "Phase": Value("int"), "InjuryMinute": Value("int"), "TeamFromID": Value("float"), "TeamToID": Value("float"), "PlayerFromID": Value("float"), "PlayerToID": Value("float"), "Time": Value("string"), "MatchEventAttribute": Value("float"), }), "5-Penalty Shootout": Features({ "Event": Value("string"), "Minute": Value("int"), "Phase": Value("int"), "InjuryMinute": Value("int"), "TeamFromID": Value("float"), "TeamToID": Value("float"), "PlayerFromID": Value("float"), "PlayerToID": Value("float"), "Time": Value("string"), "MatchEventAttribute": Value("float"), }), }), "TeamLineUps" = Features({ "HomeTeamLineUp": Features({ "Starting11": Sequence(Features({ "Country": Value("string"), "ID": Value("int"), "OfficialName": Value("string"), "OfficialSurname": Value("string"), "ShortName": Value("string"), "Role": Value("string"), "JerseyNumber": Value("string"), "IsGoalkeeper": Value("string"), "JerseyName": Value("string"), "IsCaptain": Value("string"), "TacticX": Value("string"), "TacticY": Value("string"), "Numorder": Value("string"), "IsBooked": Value("float"), })), "Benched Players": Sequence(Features({ "Country": Value("string"), "ID": Value("int"), "OfficialName": Value("string"), "OfficialSurname": Value("string"), "ShortName": Value("string"), "Role": Value("string"), "JerseyNumber": Value("string"), "IsGoalkeeper": Value("string"), "JerseyName": Value("string"), "IsCaptain": Value("string"), "TacticX": Value("string"), "TacticY": Value("string"), "Numorder": Value("string"), "IsBooked": Value("float"), })), "Staff": Sequence(Features({ "Country": Value("string"), "ID": Value("int"), "OfficialName": Value("string"), "OfficialSurname": Value("string"), "ShortName": Value("string"), "Role": Value("string"), })), }), "AwayTeamLineUps": Features({ "Starting11": Sequence(Features({ "Country": Value("string"), "ID": Value("int"), "OfficialName": Value("string"), "OfficialSurname": Value("string"), "ShortName": Value("string"), "Role": Value("string"), "JerseyNumber": Value("string"), "IsGoalkeeper": Value("string"), "JerseyName": Value("string"), "IsCaptain": Value("string"), "TacticX": Value("string"), "TacticY": Value("string"), "Numorder": Value("string"), "IsBooked": Value("float"), })), "Benched Players": Sequence(Features({ "Country": Value("string"), "ID": Value("int"), "OfficialName": Value("string"), "OfficialSurname": Value("string"), "ShortName": Value("string"), "Role": Value("string"), "JerseyNumber": Value("string"), "IsGoalkeeper": Value("string"), "JerseyName": Value("string"), "IsCaptain": Value("string"), "TacticX": Value("string"), "TacticY": Value("string"), "Numorder": Value("string"), "IsBooked": Value("float"), })), "Staff": Sequence(Features({ "Country": Value("string"), "ID": Value("int"), "OfficialName": Value("string"), "OfficialSurname": Value("string"), "ShortName": Value("string"), "Role": Value("string"), })), }), }), "TeamStats": Value("dict"), "PlayerStats": Value("dict"), "PlayerPreMatchInfo": Value("dict"), }), supervised_keys=None, homepage="Optional dataset homepage", license= "", citation="Optional citation" ) def _split_generators(self, dl_manager): # Since the final processed dataset is a single CSV file that combines the content from numerous rows to only 51 rows, # with each row representing the information of each game, I will just use a single 'train' split and no need for test / validation. path = "/Users/chuhanguo/Desktop/Winter 2024/STA 663/Euro2020.csv" return [ SplitGenerator( name="train", gen_kwargs={"filepath": path} ), ] def _generate_examples(self, path): data = pd.read_csv(path) for idx, row in data.iterrows(): yield idx, { "HomeTeamName": row["HomeTeamName"], "AwayTeamName": row["AwayTeamName"], "DateandTimeCET": row["DateandTimeCET"], "MatchID": row["MatchID"], "RoundName": row["RoundName"], "Stage": row["Stage"], "MatchDay": row["MatchDay"], "Session": row["Session"], "MatchMinute": row["MatchMinute"], "InjuryTime": row["InjuryTime"], "NumberofPhases": row["NumberofPhases"], "Phase": row["Phase"], "ScoreHome": row["ScoreHome"], "ScoreAway": row["ScoreAway"], "MatchStatus": row["MatchStatus"], "StadiumID": row["StadiumID"], "NumberofMatchesRefereedPostMatch": row["NumberofMatchesRefereedPostMatch"], "TotalNumberofMatchesRefereed": row["TotalNumberofMatchesRefereed"], "NumberofMatchesRefereedinGroupStage": row["NumberofMatchesRefereedinGroupStage"], "NumberofMatchesRefereedinKnockoutStage": row["NumberofMatchesRefereedinKnockoutStage"], "AssistantRefereeWebName": row["AssistantRefereeWebName"], "Humidity": row["Humidity"], "Temperature": row["Temperature"], "WindSpeed": row["WindSpeed"], "MatchEvent": row["MatchEvent"], "TeamLineUps": row["TeamLineUps"], "TeamStats": row["TeamStats"], "PlayerStats": row["PlayerStats"], "PlayerPreMatchInfo": row["PlayerPreMatchInfo"], }