updated to dataset v 0.3 + added test split

qasper.py

@@ -1,5 +1,5 @@
 # coding=utf-8
-# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+# Copyright 2022 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -38,10 +38,13 @@ A dataset containing 1585 papers with 5049 information-seeking questions asked b
 """
 
 _HOMEPAGE = "https://allenai.org/data/qasper"
-_URL = "https://qasper-dataset.s3-us-west-2.amazonaws.com/qasper-train-dev-v0.1.tgz"
-_DATA_FILES = {"train": "qasper-train-v0.1.json", "dev": "qasper-dev-v0.1.json"}
+_URL_TRAIN_DEV = "https://qasper-dataset.s3.us-west-2.amazonaws.com/qasper-train-dev-v0.3.tgz"
+_URL_TEST = "https://qasper-dataset.s3.us-west-2.amazonaws.com/qasper-test-and-evaluator-v0.3.tgz"
+_DATA_FILES = {"train": "qasper-train-v0.3.json",
+               "dev": "qasper-dev-v0.3.json",
+               "test": "qasper-test-v0.3.json"}
 
-_VERSION = "0.1.0"
+_VERSION = "0.3.0"
 
 
 class Qasper(datasets.GeneratorBasedBuilder):
@@ -93,6 +96,12 @@ class Qasper(datasets.GeneratorBasedBuilder):
                         ),
                     }
                 ),
+                "figures_and_tables": datasets.features.Sequence(
+                    {
+                        "caption": datasets.Value("string"),
+                        "file": datasets.Value("string"),
+                    }
+                ),
             }
         )
 
@@ -106,16 +115,28 @@ class Qasper(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        archive = dl_manager.download(_URL)
+        archive_train_dev, archive_test = dl_manager.download((
+            _URL_TRAIN_DEV, _URL_TEST)
+        )
 
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": _DATA_FILES["train"], "files": dl_manager.iter_archive(archive)},
+                gen_kwargs={
+                    "filepath": _DATA_FILES["train"],
+                    "files": dl_manager.iter_archive(archive_train_dev)},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": _DATA_FILES["dev"], "files": dl_manager.iter_archive(archive)},
+                gen_kwargs={
+                    "filepath": _DATA_FILES["dev"],
+                    "files": dl_manager.iter_archive(archive_train_dev)},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": _DATA_FILES["test"],
+                    "files": dl_manager.iter_archive(archive_test)},
             ),
         ]