need support v1.0 also

JAQKET.py

@@ -1,7 +1,4 @@
 import json
-import random
-import string
-import warnings
 from typing import Dict, List, Optional, Union
 
 import datasets as ds
@@ -10,7 +7,7 @@ import pandas as pd
 _CITATION = """
 @InProceedings{Kurihara_nlp2020,
   author =  "鈴木正敏 and 鈴木潤 and 松田耕史 and ⻄田京介 and 井之上直也",
-  title =   "JAQKET: クイズを題材にした日本語 QA データセットの構築",
+  title =   "JAQKET: クイズを題材にした日本語 QA データセットの構築",
   booktitle =   "言語処理学会第26回年次大会",
   year =    "2020",
   url = "https://www.anlp.jp/proceedings/annual_meeting/2020/pdf_dir/P2-24.pdf"
@@ -28,16 +25,47 @@ This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 Intern
 """
 
 _DESCRIPTION_CONFIGS = {
+    "v1.0": "v1.0",
     "v2.0": "v2.0",
 }
 
 _URLS = {
+    "v1.0": {
+        "train": "https://jaqket.s3.ap-northeast-1.amazonaws.com/data/aio_01/train_questions.json",
+        "valid": "https://jaqket.s3.ap-northeast-1.amazonaws.com/data/aio_01/dev1_questions.json",
+        "candidate_entities": "https://jaqket.s3.ap-northeast-1.amazonaws.com/data/aio_01/candidate_entities.json.gz",
+    },
     "v2.0": {
         "train": "https://huggingface.co/datasets/kumapo/JAQKET/resolve/main/train_jaqket_59.350.json",
         "valid": "https://huggingface.co/datasets/kumapo/JAQKET/resolve/main/dev_jaqket_59.350.json",
     },
 }
 
+
+def dataset_info_v1() -> ds.Features:
+    features = ds.Features(
+        {
+            "qid": ds.Value("string"),
+            "question": ds.Value("string"),
+            "answer_entity": ds.Value("string"),
+            "label": ds.Value("int32"),
+            "answer_candidates": ds.Sequence(
+                ds.Value("string"),
+            ),
+            "contexts": ds.Sequence(
+                ds.Value("string")
+            )
+        }
+    )
+    return ds.DatasetInfo(
+        description=_DESCRIPTION,
+        citation=_CITATION,
+        homepage=_HOMEPAGE,
+        license=_LICENSE,
+        features=features,
+    )
+
+
 def dataset_info_v2() -> ds.Features:
     features = ds.Features(
         {
@@ -66,8 +94,13 @@ def dataset_info_v2() -> ds.Features:
 
 
 class JAQKET(ds.GeneratorBasedBuilder):
-    VERSION = ds.Version("0.1.0")
+    VERSION = ds.Version("0.2.0")
     BUILDER_CONFIGS = [
+        ds.BuilderConfig(
+            name="v1.0",
+            version=VERSION,
+            description=_DESCRIPTION_CONFIGS["v1.0"],
+        ),
         ds.BuilderConfig(
             name="v2.0",
             version=VERSION,
@@ -76,28 +109,85 @@ class JAQKET(ds.GeneratorBasedBuilder):
     ]
 
     def _info(self) -> ds.DatasetInfo:
-        if self.config.name == "v2.0":
+        if self.config.name == "v1.0":
+            return dataset_info_v1()
+        elif self.config.name == "v2.0":
             return dataset_info_v2()
         else:
             raise ValueError(f"Invalid config name: {self.config.name}")
 
     def _split_generators(self, dl_manager: ds.DownloadManager):
         file_paths = dl_manager.download_and_extract(_URLS[self.config.name])
-        return [
-            ds.SplitGenerator(
-                name=ds.Split.TRAIN,
-                gen_kwargs={"file_path": file_paths["train"]},
-            ),
-            ds.SplitGenerator(
-                name=ds.Split.VALIDATION,
-                gen_kwargs={"file_path": file_paths["valid"]},
-            ),
-        ]
+        if self.config.name == "v1.0":
+            return [
+                ds.SplitGenerator(
+                    name=ds.Split.TRAIN,
+                    gen_kwargs={"file_path": file_paths["train"], "entities_file_path": file_paths["candidate_entities"]},
+                ),
+                ds.SplitGenerator(
+                    name=ds.Split.VALIDATION,
+                    gen_kwargs={"file_path": file_paths["valid"], "entities_file_path": file_paths["candidate_entities"]},
+                ),
+            ]
+        elif self.config.name == "v2.0":
+            return [
+                ds.SplitGenerator(
+                    name=ds.Split.TRAIN,
+                    gen_kwargs={"file_path": file_paths["train"]},
+                ),
+                ds.SplitGenerator(
+                    name=ds.Split.VALIDATION,
+                    gen_kwargs={"file_path": file_paths["valid"]},
+                ),
+            ]
+        else:
+            raise ValueError(f"Invalid config name: {self.config.name}")            
 
-    def _generate_examples(
+    def _generate_examples_v1(
         self,
         file_path: Optional[str] = None,
-        split_df: Optional[pd.DataFrame] = None,
+        entities_file_path: Optional[str] = None,
+        num_candidates: Optional[int] = None,
+    ):
+        if file_path is None or entities_file_path is None:
+            raise ValueError(f"Invalid argument for {self.config.name}")
+
+        entities = dict()
+        with open(entities_file_path, "r", encoding="utf-8") as fin:
+            lines = fin.readlines()
+            for line in lines:
+                entity = json.loads(line.strip())
+                entities[entity["title"]] = entity["text"]
+
+        with open(file_path, "r", encoding="utf-8") as fin:
+            lines = fin.readlines()
+            for line in lines:
+                data_raw = json.loads(line.strip("\n"))
+                q_id = data_raw["qid"]
+                question = data_raw["question"].replace("_", "")
+                answer_entity = data_raw["answer_entity"]
+                answer_candidates = data_raw["answer_candidates"][:num_candidates]
+
+                if answer_entity not in answer_candidates:
+                    continue
+                if len(answer_candidates) != num_candidates:
+                    continue
+            
+                contexts = [entities[answer_candidates[i]] for i in range(num_candidates)]
+                label = str(answer_candidates.index(answer_entity))
+                example_dict = {
+                    "qid": q_id,
+                    "question": question,
+                    "answer_entity": answer_entity,
+                    "label": label,
+                    "answer_candidates": answer_candidates,
+                    "contexts": contexts,
+                }
+                yield q_id, example_dict
+
+    def _generate_examples_v2(
+        self,
+        file_path: Optional[str] = None
     ):
         if file_path is None:
             raise ValueError(f"Invalid argument for {self.config.name}")
@@ -130,3 +220,16 @@ class JAQKET(ds.GeneratorBasedBuilder):
                 "ctxs": ctxs
             }
             yield q_id, example_dict
+
+    def _generate_examples(
+        self,
+        file_path: Optional[str] = None,
+        entities_file_path: Optional[str] = None,
+        num_candidates: int = 5,
+    ):
+        if self.config.name == "v1.0":
+            yield from self._generate_examples_v1(file_path, entities_file_path, num_candidates)
+        elif self.config.name == "v2.0":
+            yield from self._generate_examples_v2(file_path)
+        else:
+            raise ValueError(f"Invalid config name: {self.config.name}")