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

art.py

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+"""TODO(art): Add a description here."""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+import os
+
+import datasets
+
+
+# TODO(art): BibTeX citation
+_CITATION = """\
+@InProceedings{anli,
+  author = {Chandra, Bhagavatula and Ronan, Le Bras and Chaitanya, Malaviya and Keisuke, Sakaguchi and Ari, Holtzman
+    and Hannah, Rashkin and Doug, Downey and Scott, Wen-tau Yih and Yejin, Choi},
+  title = {Abductive Commonsense Reasoning},
+  year = {2020}
+}"""
+
+# TODO(art):
+_DESCRIPTION = """\
+the Abductive Natural Language Inference Dataset from AI2
+"""
+_DATA_URL = "https://storage.googleapis.com/ai2-mosaic/public/alphanli/alphanli-train-dev.zip"
+
+
+class ArtConfig(datasets.BuilderConfig):
+    """BuilderConfig for Art."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for Art.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(ArtConfig, self).__init__(version=datasets.Version("0.1.0", ""), **kwargs)
+
+
+class Art(datasets.GeneratorBasedBuilder):
+    """TODO(art): Short description of my dataset."""
+
+    # TODO(art): Set up version.
+    VERSION = datasets.Version("0.1.0")
+    BUILDER_CONFIGS = [
+        ArtConfig(
+            name="anli",
+            description="""\
+          the Abductive Natural Language Inference Dataset from AI2.
+          """,
+        ),
+    ]
+
+    def _info(self):
+        # TODO(art): 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(
+                {
+                    "observation_1": datasets.Value("string"),
+                    "observation_2": datasets.Value("string"),
+                    "hypothesis_1": datasets.Value("string"),
+                    "hypothesis_2": datasets.Value("string"),
+                    "label": datasets.features.ClassLabel(num_classes=3)
+                    # These are the features of your dataset like images, labels ...
+                }
+            ),
+            # 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://leaderboard.allenai.org/anli/submissions/get-started",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # TODO(art): 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(_DATA_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": os.path.join(dl_dir, "dev.jsonl"),
+                    "labelpath": os.path.join(dl_dir, "dev-labels.lst"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": os.path.join(dl_dir, "train.jsonl"),
+                    "labelpath": os.path.join(dl_dir, "train-labels.lst"),
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, labelpath):
+        """Yields examples."""
+        # TODO(art): Yields (key, example) tuples from the dataset
+        data = []
+        for line in open(filepath, encoding="utf-8"):
+            data.append(json.loads(line))
+        labels = []
+        with open(labelpath, encoding="utf-8") as f:
+            for word in f:
+                labels.append(word)
+        for idx, row in enumerate(data):
+            yield idx, {
+                "observation_1": row["obs1"],
+                "observation_2": row["obs2"],
+                "hypothesis_1": row["hyp1"],
+                "hypothesis_2": row["hyp2"],
+                "label": labels[idx],
+            }

dataset_infos.json

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+{"anli": {"description": "the Abductive Natural Language Inference Dataset from AI2\n", "citation": "@InProceedings{anli,\n  author = \"Chandra, Bhagavatula\n    and Ronan, Le Bras\n    and Chaitanya, Malaviya\n    and Keisuke, Sakaguchi\n    and Ari, Holtzman\n    and Hannah, Rashkin\n    and Doug, Downey\n    and Scott, Wen-tau Yih\n    and Yejin, Choi\",\n  title = \"Abductive Commonsense Reasoning\",\n  year = \"2020\",\n}", "homepage": "https://leaderboard.allenai.org/anli/submissions/get-started", "license": "", "features": {"observation_1": {"dtype": "string", "id": null, "_type": "Value"}, "observation_2": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis_1": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis_2": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["0", "1", "2"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "supervised_keys": null, "builder_name": "art", "config_name": "anli", "version": {"version_str": "0.1.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 34046304, "num_examples": 169654, "dataset_name": "art"}, "validation": {"name": "validation", "num_bytes": 312314, "num_examples": 1532, "dataset_name": "art"}}, "download_checksums": {"https://storage.googleapis.com/ai2-mosaic/public/alphanli/alphanli-train-dev.zip": {"num_bytes": 5118294, "checksum": "24840b27553e93ec625ae020dbf78d92daeae4be31ebbd469a0c9f6f99ed1c8d"}}, "download_size": 5118294, "dataset_size": 34358618, "size_in_bytes": 39476912}}

dummy/anli/0.1.0/dummy_data.zip

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+size 1439