Update sotab.py

sotab.py

@@ -17,6 +17,8 @@ import os
 
 import datasets
 
+import pandas as pd
+
 
 # Find for instance the citation on arxiv or on the dataset repo/website
 _CITATION = """\
@@ -99,17 +101,41 @@ class WikiTableQuestions(datasets.GeneratorBasedBuilder):
 
     def _read_table_from_file(self, table_name: str, root_dir: str):
         def _extract_table_content(_line: str):
-            _vals = [_.replace("\n", " ").strip() for _ in _line.strip("\n").split("\t")]
+            _vals = 
+            # _vals = [_.replace("\n", " ").strip() for _ in _line.strip("\n").split("\t")]
             return _vals
 
         rows = []
+        df_gt = pd.read_csv('CTA_Test_MusicRecording.csv',  encoding="utf8")
+        df = pd.read_json("./MusicRecording/"+df_gt.loc[i]["table_name"], compression='gzip', lines=True)
+        df = df.dropna().reset_index(drop=True)
+        correct_label = df_gt.loc[i]["label"]
+        
+        if df.empty:
+            op = "None"
+            output_list.append(op)
+            continue
+        
+        col = []
+        for j in range(len(df.loc[0])):
+            col.append("col" + str(j+1))
+
+        row = []
+        for index in range(len(df)):
+            row.append(df.loc[index, :].values.tolist())
+
+        # {"header": ["col1", "col2", "col3"], "rows": [["row11", "row12", "row13"], ["row21", "row22", "row23"]]}
+        table_context = {}
+        table_context["header"] = col
+        table_context["rows"] = row
+        
         # assert ".csv" in _wtq_table_name
         # use the normalized table file
         table_name = table_name.replace(".csv", ".tsv")
         with open(os.path.join(root_dir, table_name), "r", encoding="utf8") as table_f:
             table_lines = table_f.readlines()
             # the first line is header
-            header = _extract_table_content(table_lines[0])
+            # header = _extract_table_content(table_lines[0])
             for line in table_lines[1:]:
                 rows.append(_extract_table_content(line))
         return {"header": header, "rows": rows, "name": table_name}