fix dataset loading

README.md

@@ -11,8 +11,8 @@ size_categories:
 - 1K<n<10K
 configs:
 - config_name: verified
-  data_files: "with_human_verification.json"
+  data_files: "data/with_human_verification.json"
   default: true
 - config_name: unverified
-  data_files: "without_human_verification.json"
+  data_files: "data/without_human_verification.json"
 ---

morehopqa.py

@@ -0,0 +1,71 @@
+import datasets
+from datasets import load_dataset
+import json
+import os
+
+class MoreHopQA(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+            features=datasets.Features({
+                "question": datasets.Value("string"),
+                "context": datasets.Sequence({
+                    "title": datasets.Value("string"),
+                    "paragraphs": datasets.Sequence(datasets.Value("string"))
+                }),
+                "answer": datasets.Value("string"),
+                "previous_question": datasets.Value("string"),
+                "previous_answer": datasets.Value("string"),
+                "question_decomposition": datasets.Sequence({
+                    "sub_id": datasets.Value("string"),
+                    "question": datasets.Value("string"),
+                    "answer": datasets.Value("string"),
+                    "paragraph_support_title": datasets.Value("string")
+                }),
+                "question_on_last_hop": datasets.Value("string"),
+                "answer_type": datasets.Value("string"),
+                "previous_answer_type": datasets.Value("string"),
+                "no_of_hops": datasets.Value("int32"),
+                "reasoning_type": datasets.Value("string"),
+            }),
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        return [
+            datasets.SplitGenerator(
+                name="verified",
+                gen_kwargs={"filepath": os.path.join("data", "with_human_verification.json"),
+                            "default": True}
+            ), 
+            datasets.SplitGenerator(
+                name="unverified",
+                gen_kwargs={"filepath": os.path.join("data", "without_human_verification.json")}
+            )
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        with open(filepath, encoding="utf-8") as f:
+            data = json.load(f)
+            for item in enumerate(data):
+                yield item['_id'], {
+                    "question": item["question"],
+                "context": [{
+                        "title": subitem[0],  # title is the first item in the sublist
+                        "content": subitem[1]  # paragraphs are the second item
+                    } for subitem in item.get("context", [])],
+                "answer": item["answer"],
+                "previous_question": item["previous_question"],
+                "previous_answer": item["previous_answer"],
+                "question_decomposition": [{
+                    "sub_id": subitem["sub_id"],
+                    "question": subitem["question"],
+                    "answer": subitem["answer"],
+                    "paragraph_support_title": subitem["paragraph_support_title"]
+                } for subitem in item["question_decomposition"]],
+                "question_on_last_hop": item["ques_on_last_hop"],
+                "answer_type": item["answer_type"],
+                "previous_answer_type":item["previous_answer_type"],
+                "no_of_hops": item["no_of_hops"],
+                "reasoning_type": item["reasoning_type"],
+                }