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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+{"default": {"description": "\nQuaRel is a crowdsourced dataset of 2771 multiple-choice story questions, including their logical forms.\n", "citation": "@inproceedings{quarel_v1,\n    title={QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships},\n    author={Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal},\n    year={2018},\n    journal={arXiv:1805.05377v1}\n}\n", "homepage": "https://allenai.org/data/quarel", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "answer_index": {"dtype": "int32", "id": null, "_type": "Value"}, "logical_forms": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "logical_form_pretty": {"dtype": "string", "id": null, "_type": "Value"}, "world_literals": {"feature": {"world1": {"dtype": "string", "id": null, "_type": "Value"}, "world2": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "question": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "quarel", "config_name": "default", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1072874, "num_examples": 1941, "dataset_name": "quarel"}, "test": {"name": "test", "num_bytes": 307588, "num_examples": 552, "dataset_name": "quarel"}, "validation": {"name": "validation", "num_bytes": 154308, "num_examples": 278, "dataset_name": "quarel"}}, "download_checksums": {"https://s3-us-west-2.amazonaws.com/ai2-website/data/quarel-dataset-v1-nov2018.zip": {"num_bytes": 631370, "checksum": "95437eb445467676a9b2fbda4b2021b88d788ff483ed31e63988c67ac4c6a27c"}}, "download_size": 631370, "dataset_size": 1534770, "size_in_bytes": 2166140}}

dummy/0.1.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b4eb48145b3a5c3db853ac37d5e41b32e889104255d8af5587325acd61be2e9d
+size 2655

quarel.py

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+"""TODO(quarel): Add a description here."""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+import os
+
+import datasets
+
+
+# TODO(quarel): BibTeX citation
+_CITATION = """\
+@inproceedings{quarel_v1,
+    title={QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships},
+    author={Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal},
+    year={2018},
+    journal={arXiv:1805.05377v1}
+}
+"""
+
+# TODO(quarel):
+_DESCRIPTION = """
+QuaRel is a crowdsourced dataset of 2771 multiple-choice story questions, including their logical forms.
+"""
+_URL = "https://s3-us-west-2.amazonaws.com/ai2-website/data/quarel-dataset-v1-nov2018.zip"
+
+
+class Quarel(datasets.GeneratorBasedBuilder):
+    """TODO(quarel): Short description of my dataset."""
+
+    # TODO(quarel): Set up version.
+    VERSION = datasets.Version("0.1.0")
+
+    def _info(self):
+        # TODO(quarel): 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 ...
+                    "id": datasets.Value("string"),
+                    "answer_index": datasets.Value("int32"),
+                    "logical_forms": datasets.features.Sequence(datasets.Value("string")),
+                    "logical_form_pretty": datasets.Value("string"),
+                    "world_literals": datasets.features.Sequence(
+                        {"world1": datasets.Value("string"), "world2": datasets.Value("string")}
+                    ),
+                    "question": 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://allenai.org/data/quarel",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # TODO(quarel): 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)
+        data_dir = os.path.join(dl_dir, "quarel-dataset-v1")
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": os.path.join(data_dir, "quarel-v1-train.jsonl")},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": os.path.join(data_dir, "quarel-v1-test.jsonl")},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": os.path.join(data_dir, "quarel-v1-dev.jsonl")},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        # TODO(quarel): Yields (key, example) tuples from the dataset
+        with open(filepath, encoding="utf-8") as f:
+            for id_, row in enumerate(f):
+                data = json.loads(row)
+                yield id_, {
+                    "id": data["id"],
+                    "answer_index": data["answer_index"],
+                    "logical_forms": data["logical_forms"],
+                    "world_literals": {
+                        "world1": [data["world_literals"]["world1"]],
+                        "world2": [data["world_literals"]["world2"]],
+                    },
+                    "logical_form_pretty": data["logical_form_pretty"],
+                    "question": data["question"],
+                }