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import os
import pandas as pd
import datasets
class TrainingMarblesConfig2(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
def _info(self):
return datasets.DatasetInfo(
features=datasets.Features(
{
'timestamp': datasets.Value('string'),
'marble_x': datasets.Value('float'),
'marble_y': datasets.Value('float'),
'boss_x': datasets.Value('float'),
'boss_y': datasets.Value('float'),
'triangle1_x': datasets.Value('float'),
'triangle1_y': datasets.Value('float'),
'triangle2_x': datasets.Value('float'),
'triangle2_y': datasets.Value('float'),
'triangle3_x': datasets.Value('float'),
'triangle3_y': datasets.Value('float'),
'marble_health': datasets.Value('float'),
'boss_health': datasets.Value('float'),
'command': datasets.Value('int32'),
}
)
)
def _split_generators(self, dl_manager):
data_dir = dl_manager.download_and_extract("path_to_config2_dataset_files")
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"filepath": os.path.join(data_dir, "X_train.csv")},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={"filepath": os.path.join(data_dir, "X_test.csv")},
),
]
def _generate_examples(self, filepath):
df = pd.read_csv(filepath)
for id_, row in df.iterrows():
yield id_, {
'timestamp': row['timestamp'],
'marble_x': row['marble_x'],
'marble_y': row['marble_y'],
'boss_x': row['boss_x'],
'boss_y': row['boss_y'],
'triangle1_x': row['triangle1_x'],
'triangle1_y': row['triangle1_y'],
'triangle2_x': row['triangle2_x'],
'triangle2_y': row['triangle2_y'],
'triangle3_x': row['triangle3_x'],
'triangle3_y': row['triangle3_y'],
'marble_health': row['marble_health'],
'boss_health': row['boss_health'],
'command': row['command'],
}
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