added topic to examples

mmlu.py

@@ -112,6 +112,7 @@ class Mmlu(datasets.GeneratorBasedBuilder):
         features = datasets.Features(
             {
                 "question": datasets.Value("string"),
+                "subject": datasets.Value("string"),
                 "choices": datasets.features.Sequence(datasets.Value("string")),
                 "answer": datasets.features.ClassLabel(num_classes=4, names=["A", "B", "C", "D"]),
             }
@@ -160,11 +161,12 @@ class Mmlu(datasets.GeneratorBasedBuilder):
         for id_file, (path, file) in enumerate(iter_archive):
             if f"/{split}/" in path:
                 if split == "auxiliary_train" or (self.config.name in path or self.config.name == "all"):
+                    subset = path.split("/")[-1].rsplit("_",1)[0] if split != "auxiliary_train" else ""
                     n_yielded_files += 1
                     lines = (line.decode("utf-8") for line in file)
                     reader = csv.reader(lines)
                     for id_line, data in enumerate(reader):
-                        yield f"{id_file}_{id_line}", {"question": data[0], "choices": data[1:5], "answer": data[5]}
+                        yield f"{id_file}_{id_line}", {"question": data[0], "choices": data[1:5], "answer": data[5], "subject": subset}
                 #else:
                     #print("KO", path)
             #else: