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license: openrail |
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You can download this Dataset just like this (if you only need: premise, hypothesis, and label column): |
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``` |
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from datasets import load_dataset, Dataset, DatasetDict |
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import pandas as pd |
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data_files = {"train": "data_nli_train_df_debug.csv", |
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"validation": "data_nli_val_df_debug.csv", |
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"test": "data_nli_test_df_debug.csv"} |
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dataset = load_dataset("muhammadravi251001/debug-entailment", data_files=data_files) |
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selected_columns = ["premise", "hypothesis", "label"] |
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# selected_columns = dataset.column_names['train'] # Uncomment this line to retrieve all of the columns |
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df_train = pd.DataFrame(dataset["train"]) |
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df_train = df_train[selected_columns] |
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df_val = pd.DataFrame(dataset["validation"]) |
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df_val = df_val[selected_columns] |
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df_test = pd.DataFrame(dataset["test"]) |
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df_test = df_test[selected_columns] |
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train_dataset = Dataset.from_dict(df_train) |
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validation_dataset = Dataset.from_dict(df_val) |
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test_dataset = Dataset.from_dict(df_test) |
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dataset = DatasetDict({"train": train_dataset, "validation": validation_dataset, "test": test_dataset}) |
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dataset |
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``` |
