Update files from the datasets library (from 1.0.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.0

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

dataset_infos.json

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+{"multi_nli": {"description": " Korean Natural  Language Inference datasets\n", "citation": "@article{ham2020kornli,\n  title={KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding},\n  author={Ham, Jiyeon and Choe, Yo Joong and Park, Kyubyong and Choi, Ilji and Soh, Hyungjoon},\n  journal={arXiv preprint arXiv:2004.03289},\n  year={2020}\n}\n", "homepage": "https://github.com/kakaobrain/KorNLUDatasets", "license": "", "features": {"sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}, "gold_label": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "kor_nli", "config_name": "multi_nli", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 87169599, "num_examples": 385494, "dataset_name": "kor_nli"}}, "download_checksums": {"https://github.com/kakaobrain/KorNLUDatasets/archive/master.zip": {"num_bytes": 42113232, "checksum": "b1184d5e78a7d988400eabe3374b8a7e2abf182896f54e6e311c5173bb2c9bf5"}}, "download_size": 42113232, "dataset_size": 87169599, "size_in_bytes": 129282831}}

dummy/multi_nli/1.0.0/dummy_data.zip

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+oid sha256:63ea1d99733461e2228db79f7cbe91f13d65a43235ab01b27100b1fa08079ead
+size 1565

dummy/snli/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4dd0e7f1ce2e481a25344b31bcd5e4c69dcd900ec3d5fb74bf449caa99ae5259
+size 1259

kor_nli.py

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+"""TODO(kor_nli): Add a description here."""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+import os
+
+import datasets
+
+
+# TODO(kor_nli): BibTeX citation
+_CITATION = """\
+@article{ham2020kornli,
+  title={KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding},
+  author={Ham, Jiyeon and Choe, Yo Joong and Park, Kyubyong and Choi, Ilji and Soh, Hyungjoon},
+  journal={arXiv preprint arXiv:2004.03289},
+  year={2020}
+}
+"""
+
+# TODO(kor_nli):
+_DESCRIPTION = """ Korean Natural  Language Inference datasets
+"""
+_URL = "https://github.com/kakaobrain/KorNLUDatasets/archive/master.zip"
+
+
+class KorNLIConfig(datasets.BuilderConfig):
+    """BuilderConfig for KorNLI."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for KorNLI.
+
+        Args:
+
+          **kwargs: keyword arguments forwarded to super.
+        """
+        # Version 1.1.0 remove empty document and summary strings.
+        super(KorNLIConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
+
+
+class KorNli(datasets.GeneratorBasedBuilder):
+    """TODO(kor_nli): Short description of my dataset."""
+
+    # TODO(kor_nli): Set up version.
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        KorNLIConfig(name="multi_nli", description="Korean multi NLI datasets"),
+        KorNLIConfig(name="snli", description="Korean SNLI dataset"),
+        KorNLIConfig(name="xnli", description="Korean XNLI dataset"),
+    ]
+
+    def _info(self):
+        # TODO(kor_nli): Specifies the datasets.DatasetInfo object
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # datasets.features.FeatureConnectors
+            features=datasets.Features(
+                {
+                    # These are the features of your dataset like images, labels ...
+                    "sentence1": datasets.Value("string"),
+                    "sentence2": datasets.Value("string"),
+                    "gold_label": datasets.Value("string"),
+                }
+            ),
+            # If there's a common (input, target) tuple from the features,
+            # specify them here. They'll be used if as_supervised=True in
+            # builder.as_dataset.
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+            homepage="https://github.com/kakaobrain/KorNLUDatasets",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # TODO(kor_nli): Downloads the data and defines the splits
+        # dl_manager is a datasets.download.DownloadManager that can be used to
+        # download and extract URLs
+        dl_dir = dl_manager.download_and_extract(_URL)
+        dl_dir = os.path.join(dl_dir, "KorNLUDatasets-master", "KorNLI")
+        if self.config.name == "multi_nli":
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={"filepath": os.path.join(dl_dir, "multinli.train.ko.tsv")},
+                ),
+            ]
+        elif self.config.name == "snli":
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={"filepath": os.path.join(dl_dir, "snli_1.0_train.ko.tsv")},
+                ),
+            ]
+        else:
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.VALIDATION,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={"filepath": os.path.join(dl_dir, "xnli.dev.ko.tsv")},
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={"filepath": os.path.join(dl_dir, "xnli.test.ko.tsv")},
+                ),
+            ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        # TODO(kor_nli): Yields (key, example) tuples from the dataset
+        with open(filepath, encoding="utf-8") as f:
+            data = csv.DictReader(f, dialect="excel-tab")
+            for id_, row in enumerate(data):
+
+                if len(row) != 3:
+                    continue
+                yield id_, row