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RVC_Models_by_Bruna1221

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RVC_Models_by_Bruna1221 / dataset-train.py

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	my_dataset_repository/
	├── README.md
	├── data.csv
	└── holdout.csv
	---
	configs:
	- config_name: default data_files:
	- split: train
	path: "data.csv"
	- split: test
	path: "holdout.csv"
	---
	my_dataset_repository/
	├── README.md
	├── data/
	│ ├── abc.csv
	│ └── def.csv
	└── holdout/
	└── ghi.csv
	---
	configs:
	- config_name: default
	data_files:
	- split: train
	path:
	- "data/abc.csv"
	- "data/def.csv"
	- split: test
	path: "holdout/ghi.csv"
	---
	configs:
	- config_name: default
	data_files:
	- split: train
	path: "data/*.csv"
	- split: test
	path: "holdout/*.csv"
	---
	from datasets import load_dataset

	main_data = load_dataset("my_dataset_repository", "main_data")
	additional_data = load_dataset("my_dataset_repository", "additional_data")
	---
	configs:
	- config_name: tab
	data_files: "main_data.csv"
	sep: "\t"
	- config_name: comma
	data_files: "additional_data.csv"
	sep: ","
	---
	configs:
	- config_name: tab
	data_files: "main_data.csv"
	sep: "\t"
	- config_name: comma
	data_files: "additional_data.csv"
	sep: ","
	---
	- config_name: main_data
	data_files: "main_data.csv"
	default: true
	my_dataset_repository/
	├── README.md
	└── data/
	├── train-00000-of-00003.csv
	├── train-00001-of-00003.csv
	├── train-00002-of-00003.csv
	├── test-00000-of-00001.csv
	├── random-00000-of-00003.csv
	├── random-00001-of-00003.csv
	└── random-00002-of-00003.csv
	my_dataset_repository/
	├── README.md
	├── train_0.csv
	├── train_1.csv
	├── train_2.csv
	├── train_3.csv
	├── test_0.csv
	└── test_1.csv
	my_dataset_repository/
	├── README.md
	└── data/
	├── train/
	│ ├── shard_0.csv
	│ ├── shard_1.csv
	│ ├── shard_2.csv
	│ └── shard_3.csv
	└── test/
	├── shard_0.csv
	└── shard_1.csv