| 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'], | |
| } | |