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sw/xstory_cloze-eval.parquet

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te/xstory_cloze-eval.parquet

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te/xstory_cloze-train.parquet

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xstory_cloze.py

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-# 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]),
-                    }

zh/xstory_cloze-eval.parquet

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zh/xstory_cloze-train.parquet

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