add dataset files and loading script

xstory_cloze.py

@@ -0,0 +1,130 @@
+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""XStoryCloze dataset."""
+
+
+import csv
+import os
+
+import datasets
+
+
+_DESCRIPTION = """
+XStoryCloze consists of the professionally translated version of the [English StoryCloze dataset](https://cs.rochester.edu/nlp/rocstories/) (Spring 2016 version) to 10 non-English languages. This dataset is released by Meta AI.
+"""
+
+_CITATION = """\
+@article{DBLP:journals/corr/abs-2112-10668,
+  author    = {Xi Victoria Lin and
+               Todor Mihaylov and
+               Mikel Artetxe and
+               Tianlu Wang and
+               Shuohui Chen and
+               Daniel Simig and
+               Myle Ott and
+               Naman Goyal and
+               Shruti Bhosale and
+               Jingfei Du and
+               Ramakanth Pasunuru and
+               Sam Shleifer and
+               Punit Singh Koura and
+               Vishrav Chaudhary and
+               Brian O'Horo and
+               Jeff Wang and
+               Luke Zettlemoyer and
+               Zornitsa Kozareva and
+               Mona T. Diab and
+               Veselin Stoyanov and
+               Xian Li},
+  title     = {Few-shot Learning with Multilingual Language Models},
+  journal   = {CoRR},
+  volume    = {abs/2112.10668},
+  year      = {2021},
+  url       = {https://arxiv.org/abs/2112.10668},
+  eprinttype = {arXiv},
+  eprint    = {2112.10668},
+  timestamp = {Tue, 04 Jan 2022 15:59:27 +0100},
+  biburl    = {https://dblp.org/rec/journals/corr/abs-2112-10668.bib},
+  bibsource = {dblp computer science bibliography, https://dblp.org}
+}
+"""
+
+_LANG = ["en", "ru", "zh", "es", "ar", "hi", "id", "te", "sw", "eu", "my"]
+_URL_FORMAT = "spring2016.val.{lang}.tsv.split_20_80_{split}.tsv"
+
+
+class XStoryCloze(datasets.GeneratorBasedBuilder):
+    """XStoryCloze."""
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name=lang,
+                               description="XStoryCloze Test Spring 2016 {lang} set")
+        for lang in _LANG
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "story_id": datasets.Value("string"),
+                    "input_sentence_1": datasets.Value("string"),
+                    "input_sentence_2": datasets.Value("string"),
+                    "input_sentence_3": datasets.Value("string"),
+                    "input_sentence_4": datasets.Value("string"),
+                    "sentence_quiz1": datasets.Value("string"),
+                    "sentence_quiz2": datasets.Value("string"),
+                    "answer_right_ending": datasets.Value("int32"),
+                }
+            ),
+            homepage="https://cs.rochester.edu/nlp/rocstories/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        name = self.config.name
+
+        filepaths = dl_manager.download_and_extract({
+            "train": _URL_FORMAT.format(lang=name, split="train"),
+            "eval": _URL_FORMAT.format(lang=name, split="eval"),
+        })
+
+        return [
+            datasets.SplitGenerator(
+                name=split,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": path},
+            ) for split, path in filepaths.items()
+        ]
+
+    def _generate_examples(self, filepath):
+        """Generate XStoryCloze examples."""
+        with open(filepath, encoding="utf-8") as csv_file:
+            csv_reader = csv.reader(
+                csv_file, quotechar='"', delimiter="\t", quoting=csv.QUOTE_ALL, skipinitialspace=True
+            )
+            _ = next(csv_reader)
+            for id_, row in enumerate(csv_reader):
+                if row and len(row) == 8:
+                    yield id_, {
+                        "story_id": row[0],
+                        "input_sentence_1": row[1],
+                        "input_sentence_2": row[2],
+                        "input_sentence_3": row[3],
+                        "input_sentence_4": row[4],
+                        "sentence_quiz1": row[5],
+                        "sentence_quiz2": row[6],
+                        "answer_right_ending": int(row[7]),
+                    }