update dataset

tydiqa-goldp-th.py

@@ -30,9 +30,7 @@ the use of translation (unlike MLQA and XQuAD).
 """
 
 
-_LANG = ["thai"]
-
-_URL = "https://huggingface.co/datasets/chompk/tydiqa-goldp-th/resolve/main/tydiqa.{split}.jsonl"
+_URL = "https://huggingface.co/datasets/chompk/tydiqa-goldp-th/resolve/main/xtreme/tydiqa.goldp.th.{split}.jsonl"
 _VERSION = datasets.Version("1.1.0", "")
 
 
@@ -44,25 +42,21 @@ class tydiqa_GoldP_th(datasets.GeneratorBasedBuilder):
             version=_VERSION,
         )
     ]
-
-
+    
     def _info(self):
-        # TODO(tydiqa): Specifies the datasets.DatasetInfo object
-        
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
-            features=datasets.Features({
-                "context": datasets.Value("string"),
-                "qas": datasets.features.Sequence({
-                    "answers": datasets.features.Sequence({
-                        "answer_start": datasets.Value("int32"),
-                        "answer_end": datasets.Value("int32"),
-                        "text": datasets.Value("string"),
-                    }),
-                    "question": datasets.Value("string"),
+            features=datasets.Features(
+                {
                     "id": datasets.Value("string"),
-                })
-            }),
+                    "title": datasets.Value("string"),
+                    "context": datasets.Value("string"),
+                    "question": datasets.Value("string"),
+                    "answers": datasets.features.Sequence(
+                        {"text": datasets.Value("string"), "answer_start": datasets.Value("int32"),}
+                    ),
+                }
+            ),
             # No default supervised_keys (as we have to pass both question
             # and context as input).
             supervised_keys=None,
@@ -89,13 +83,26 @@ class tydiqa_GoldP_th(datasets.GeneratorBasedBuilder):
             )
             for split in splits
         ]
-        
+    
     def _generate_examples(self, filepath):
-        """Yields examples."""
-        # TODO(tydiqa): Yields (key, example) tuples from the dataset
+        """This function returns the examples in the raw (text) form."""
+        with open(filepath) as f:
+            squad = json.load(f)
+            for article in squad["data"]:
+                for paragraph in article["paragraphs"]:
+                    context = paragraph["context"]
+                    for qa in paragraph["qas"]:
+                        question = qa["question"]
+                        id_ = qa["id"]
+
+                        answer_starts = [answer["answer_start"] for answer in qa["answers"]]
+                        answers = [answer["text"].strip() for answer in qa["answers"]]
 
-        with open(filepath, encoding="utf-8") as f:
-            for _id,row in enumerate(f):
-                data = json.loads(row)
-                
-                yield _id, data
+                        # Features currently used are "context", "question", and "answers".
+                        # Others are extracted here for the ease of future expansions.
+                        yield id_, {
+                            "context": context,
+                            "question": question,
+                            "id": id_,
+                            "answers": {"answer_start": answer_starts, "text": answers,},
+                        }