Update SOTAB.py

SOTAB.py

@@ -1,20 +1,6 @@
 import os
 import pandas as pd
 import datasets
-
-# Find for instance the citation on arxiv or on the dataset repo/website
-_CITATION = """"""
-
-_DESCRIPTION = """"""
-
-_HOMEPAGE = ""
-
-_LICENSE = "CC-BY-SA-4.0 License"
-
-_URL = ""
-
-
-
 def _read_table_from_file(table_name: str, root_dir: str)-> dict:
     df_ = pd.read_json(os.path.join(root_dir, table_name), compression='gzip', lines=True)
     df_ = df_.astype(str)
@@ -38,31 +24,8 @@ def _read_table_from_file(table_name: str, root_dir: str)-> dict:
 
 
 class SOTAB(datasets.GeneratorBasedBuilder):
-    """The sotab dataset"""
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-             features = datasets.Features(
-            {
-                # "id": datasets.Value("int32"),
-                "column_index": datasets.Value("string"),
-                "label": datasets.Value("string"),
-                "table": {
-                    "header": datasets.features.Sequence(datasets.Value("string")),
-                    "rows": datasets.features.Sequence(datasets.features.Sequence(datasets.Value("string"))),
-                    "name": datasets.Value("string"),
-                },
-            }
-        ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
+    """The SOTAB dataset"""
     def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
         train_url = "https://data.dws.informatik.uni-mannheim.de/structureddata/sotab/CTA_Training.zip"
         dev_url = "https://data.dws.informatik.uni-mannheim.de/structureddata/sotab/CTA_Validation.zip"
         test_url = "https://data.dws.informatik.uni-mannheim.de/structureddata/sotab/CTA_Test.zip"
@@ -74,10 +37,6 @@ class SOTAB(datasets.GeneratorBasedBuilder):
         CTA_Training = os.path.join(dl_manager.download_and_extract(train_url))
         CTA_Validation = os.path.join(dl_manager.download_and_extract(dev_url))
         CTA_Test = os.path.join(dl_manager.download_and_extract(test_url))
-
-        train_file = "CTA_training_gt.csv"
-        test_file = "CTA_test_gt.csv"
-        dev_file = "CTA_validation_gt.csv"
         
         return [
             datasets.SplitGenerator(
@@ -88,12 +47,12 @@ class SOTAB(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
-                gen_kwargs={"main_filepath": os.path.join(CTA_Test, test_file), "root_dir": os.path.join(CTA_Test, "Test")},
+                gen_kwargs={"main_filepath": os.path.join(CTA_Validation, test_file), "root_dir": os.path.join(CTA_Validation, "Test")},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
-                gen_kwargs={"main_filepath": os.path.join(CTA_Validation, dev_file), "root_dir": os.path.join(CTA_Validation, "Validation")},
+                gen_kwargs={"main_filepath": os.path.join(CTA_Test, dev_file), "root_dir": os.path.join(CTA_Test, "Validation")},
             ),
         ]
 
@@ -104,12 +63,16 @@ class SOTAB(datasets.GeneratorBasedBuilder):
                 if idx == 0:
                     continue
                 table_name, column_index, label = line.strip("\n").split(",")
+                print(table_name, column_index, label)
                 yield idx, {
                     "column_index": column_index,
                     "label": label,
                     "table": _read_table_from_file(table_name, root_dir),
                 }
 
+
+
+
 # # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
 # #
 # # Licensed under the Apache License, Version 2.0 (the "License");