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sato.py

@@ -0,0 +1,90 @@
+import os
+import pandas as pd
+import datasets
+
+class sato(datasets.GeneratorBasedBuilder):
+    """The sato dataset"""
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "table_id": datasets.Value("string"),
+                "col_idx": datasets.Value("string"),
+                "label": datasets.Value("string"),
+                "label_id": datasets.Value("string"),
+                "data": datasets.Value("string"),
+            }
+        )
+
+        #  datasets.value -- single value
+        #  datasets.features.Sequence -- list
+        
+        return datasets.DatasetInfo(
+            features=features
+        )
+
+    def _split_generators(self, dl_manager):
+        sato_data = "./sato/data"
+
+        train_file1 = "msato_cv_0.csv"
+        train_file2 = "msato_cv_1.csv"
+        train_file3 = "msato_cv_2.csv"
+        dev_file = "msato_cv_3.csv"
+        test_file = "msato_cv_4.csv"
+        
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"main_filepath": os.path.join(sato_data, train_file1)},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"main_filepath": os.path.join(sato_data, test_file)},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"main_filepath": os.path.join(sato_data, dev_file)},
+            ),
+        ]
+
+    def _generate_examples(self, main_filepath):
+        df = pd.read_csv(main_filepath,  encoding="utf8")
+        # df = df.astype({'table_id':'string','column_index':'string', 'label':'string'})
+        for ind in df.index:
+            if ind == 10:
+                break
+            # print(df.iloc[ind])
+            table_id = df['table_id'][ind]
+            col_idx = df['col_idx'][ind]
+            label = df['class'][ind]
+            label_id = df['class_id'][ind]
+            data = df['data'][ind]
+            yield ind, {
+                    "table_id": table_id,
+                    "col_idx":col_idx,
+                    "label": label,
+                    "label_id": label_id,
+                    "data": data,
+                }
+
+        # with open(main_filepath, encoding="utf-8") as f:
+            # for idx, line in enumerate(f):
+            #     # skip the header
+            #     # table_id,col_idx,class,class_id,data
+            #     if idx == 0:
+            #         continue
+            #     if idx == 100:
+            #         break
+            #     print(line)
+                # table_id, col_idx, label, label_id, data = line.strip("\n").split(",")
+                # print(table_id, col_idx, label, label_id, data)
+                # yield idx, {
+                #     "table_id": table_id,
+                #     "col_idx":col_idx,
+                #     "label": label,
+                #     "label_id": label_id,
+                #     "data": data,
+                # }