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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+*.model filter=lfs diff=lfs merge=lfs -text
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dataset_infos.json

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@@ -0,0 +1,132 @@
+# coding=utf-8
+# Copyright 2020 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.
+# 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.
+
+# Lint as: python3
+"""SCAN tasks with various different splits."""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+
+import datasets
+
+
+_CITATION = """
+@inproceedings{Lake2018GeneralizationWS,
+  title={Generalization without Systematicity: On the Compositional Skills of
+         Sequence-to-Sequence Recurrent Networks},
+  author={Brenden M. Lake and Marco Baroni},
+  booktitle={ICML},
+  year={2018},
+  url={https://arxiv.org/pdf/1711.00350.pdf},
+}
+"""
+
+_DESCRIPTION = """SCAN tasks with various splits.
+
+SCAN is a set of simple language-driven navigation tasks for studying
+compositional learning and zero-shot generalization.
+
+See https://github.com/brendenlake/SCAN for a description of the splits.
+
+Example usage:
+data = datasets.load_dataset('scan/length')
+"""
+
+_DATA_URL = "https://github.com/brendenlake/SCAN/archive/master.zip"
+
+
+class ScanConfig(datasets.BuilderConfig):
+    """BuilderConfig for SCAN."""
+
+    def __init__(self, name, directory=None, **kwargs):
+        """BuilderConfig for SCAN.
+
+        Args:
+          name: Unique name of the split.
+          directory: Which subdirectory to read the split from.
+          **kwargs: keyword arguments forwarded to super.
+        """
+        # Version history:
+        super(ScanConfig, self).__init__(
+            name=name, version=datasets.Version("1.0.0"), description=_DESCRIPTION, **kwargs
+        )
+        if directory is None:
+            self.directory = name + "_split"
+        else:
+            self.directory = directory
+
+
+_COMMANDS = "commands"
+_ACTIONS = "actions"
+
+
+class Scan(datasets.GeneratorBasedBuilder):
+    """SCAN task / splits as proposed by Brenden M. Lake and Marco Baroni."""
+
+    BUILDER_CONFIGS = [
+        ScanConfig(name="simple"),
+        ScanConfig(name="addprim_jump", directory="add_prim_split"),
+        ScanConfig(name="addprim_turn_left", directory="add_prim_split"),
+        ScanConfig(name="filler_num0", directory="filler_split"),
+        ScanConfig(name="filler_num1", directory="filler_split"),
+        ScanConfig(name="filler_num2", directory="filler_split"),
+        ScanConfig(name="filler_num3", directory="filler_split"),
+        ScanConfig(name="length"),
+        ScanConfig(name="template_around_right", directory="template_split"),
+        ScanConfig(name="template_jump_around_right", directory="template_split"),
+        ScanConfig(name="template_opposite_right", directory="template_split"),
+        ScanConfig(name="template_right", directory="template_split"),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    _COMMANDS: datasets.Value("string"),
+                    _ACTIONS: datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/brendenlake/SCAN",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        data_dir = dl_manager.download_and_extract(_DATA_URL)
+        data_dir = os.path.join(data_dir, "SCAN-master", self.config.directory)
+        split = self.config.name
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": os.path.join(data_dir, "tasks_train_" + split + ".txt")},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": os.path.join(data_dir, "tasks_test_" + split + ".txt")},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        with open(filepath, encoding="utf-8") as infile:
+            for i, line in enumerate(infile):
+                if not line.startswith("IN: "):
+                    continue
+                # Chop the prefix and split string between input and output
+                commands, actions = line[len("IN: ") :].strip().split(" OUT: ", 1)
+                yield i, {_COMMANDS: commands, _ACTIONS: actions}