Update README.md

README.md

@@ -32,4 +32,72 @@ test_dataset = Dataset.from_dict(df_test)
 
 dataset = DatasetDict({"train": train_dataset, "validation": validation_dataset, "test": test_dataset})
 dataset
+```
+
+If you want to download keep-invalid-data-dataset:
+```
+from datasets import load_dataset, Dataset, DatasetDict
+import pandas as pd
+
+data_files = {"train": "data_nli_train_df_keep.csv", 
+              "validation": "data_nli_val_df_keep.csv", 
+              "test": "data_nli_test_df_keep.csv"}
+
+dataset = load_dataset("muhammadravi251001/debug-entailment", data_files=data_files)
+
+# selected_columns = ["premise", "hypothesis", "label"]
+selected_columns = dataset.column_names['train'] # Uncomment this line to retrieve all of the columns
+
+df_train = pd.DataFrame(dataset["train"])
+df_train = df_train[selected_columns]
+
+df_val = pd.DataFrame(dataset["validation"])
+df_val = df_val[selected_columns]
+
+df_test = pd.DataFrame(dataset["test"])
+df_test = df_test[selected_columns]
+
+train_dataset = Dataset.from_dict(df_train)
+validation_dataset = Dataset.from_dict(df_val)
+test_dataset = Dataset.from_dict(df_test)
+
+dataset = DatasetDict({"train": train_dataset, "validation": validation_dataset, "test": test_dataset})
+
+data_qas_train_df = pd.DataFrame(dataset["train"])
+data_qas_val_df = pd.DataFrame(dataset["validation"])
+data_qas_test_df = pd.DataFrame(dataset["test"])
+```
+
+If you want to download drop-invalid-data-dataset:
+```
+from datasets import load_dataset, Dataset, DatasetDict
+import pandas as pd
+
+data_files = {"train": "data_nli_train_df_drop.csv", 
+              "validation": "data_nli_val_df_drop.csv", 
+              "test": "data_nli_test_df_drop.csv"}
+
+dataset = load_dataset("muhammadravi251001/debug-entailment", data_files=data_files)
+
+# selected_columns = ["premise", "hypothesis", "label"]
+selected_columns = dataset.column_names['train'] # Uncomment this line to retrieve all of the columns
+
+df_train = pd.DataFrame(dataset["train"])
+df_train = df_train[selected_columns]
+
+df_val = pd.DataFrame(dataset["validation"])
+df_val = df_val[selected_columns]
+
+df_test = pd.DataFrame(dataset["test"])
+df_test = df_test[selected_columns]
+
+train_dataset = Dataset.from_dict(df_train)
+validation_dataset = Dataset.from_dict(df_val)
+test_dataset = Dataset.from_dict(df_test)
+
+dataset = DatasetDict({"train": train_dataset, "validation": validation_dataset, "test": test_dataset})
+
+data_qas_train_df = pd.DataFrame(dataset["train"])
+data_qas_val_df = pd.DataFrame(dataset["validation"])
+data_qas_test_df = pd.DataFrame(dataset["test"])
 ```