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

commonsense_qa.py

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+"""TODO(commonsense_qa): Add a description here."""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+import os
+
+import datasets
+
+
+# TODO(commonsense_qa): BibTeX citation
+_CITATION = """\
+@InProceedings{commonsense_QA,
+title={COMMONSENSEQA: A Question Answering Challenge Targeting Commonsense Knowledge},
+author={Alon, Talmor and Jonathan, Herzig and Nicholas, Lourie and Jonathan ,Berant},
+journal={arXiv preprint arXiv:1811.00937v2},
+year={2019}
+
+"""
+
+# TODO(commonsense_qa):
+_DESCRIPTION = """\
+CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge
+ to predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers.
+ The dataset is provided in two major training/validation/testing set splits: "Random split" which is the main evaluation
+  split, and "Question token split", see paper for details.
+"""
+_URL = "https://s3.amazonaws.com/commensenseqa"
+_TRAINING_FILE = "train_rand_split.jsonl"
+_DEV_FILE = "dev_rand_split.jsonl"
+_TEST_FILE = "test_rand_split_no_answers.jsonl"
+
+
+class CommonsenseQa(datasets.GeneratorBasedBuilder):
+    """TODO(commonsense_qa): Short description of my dataset."""
+
+    # TODO(commonsense_qa): Set up version.
+    VERSION = datasets.Version("0.1.0")
+
+    def _info(self):
+        # These are the features of your dataset like images, labels ...
+        features = datasets.Features(
+            {
+                "answerKey": datasets.Value("string"),
+                "question": datasets.Value("string"),
+                "choices": datasets.features.Sequence(
+                    {
+                        "label": datasets.Value("string"),
+                        "text": datasets.Value("string"),
+                    }
+                ),
+            }
+        )
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # datasets.features.FeatureConnectors
+            features=features,
+            # 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://www.tau-datasets.org/commonsenseqa",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+
+        download_urls = {
+            "train": os.path.join(_URL, _TRAINING_FILE),
+            "test": os.path.join(_URL, _TEST_FILE),
+            "dev": os.path.join(_URL, _DEV_FILE),
+        }
+
+        downloaded_files = dl_manager.download_and_extract(download_urls)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"], "split": "train"}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": downloaded_files["dev"],
+                    "split": "dev",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": downloaded_files["test"],
+                    "split": "test",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        """Yields examples."""
+        # TODO(commonsense_qa): 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)
+                question = data["question"]
+                choices = question["choices"]
+                labels = [label["label"] for label in choices]
+                texts = [text["text"] for text in choices]
+                stem = question["stem"]
+                if split == "test":
+                    answerkey = ""
+                else:
+                    answerkey = data["answerKey"]
+
+                yield id_, {
+                    "answerKey": answerkey,
+                    "question": stem,
+                    "choices": {"label": labels, "text": texts},
+                }

dataset_infos.json

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+{"default": {"description": "CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge\n to predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers.\n The dataset is provided in two major training/validation/testing set splits: \"Random split\" which is the main evaluation\n  split, and \"Question token split\", see paper for details.\n", "citation": "@InProceedings{commonsense_QA,\ntitle={COMMONSENSEQA: A Question Answering Challenge Targeting Commonsense Knowledge},\nauthor={Alon, Talmor and Jonathan, Herzig and Nicholas, Lourie and Jonathan ,Berant},\njournal={arXiv preprint arXiv:1811.00937v2},\nyear={2019}\n\n", "homepage": "https://www.tau-nlp.org/commonsenseqa", "license": "", "features": {"answerKey": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "supervised_keys": null, "builder_name": "commonsense_qa", "config_name": "default", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 205066, "num_examples": 1140, "dataset_name": "commonsense_qa"}, "train": {"name": "train", "num_bytes": 1755851, "num_examples": 9741, "dataset_name": "commonsense_qa"}, "validation": {"name": "validation", "num_bytes": 217503, "num_examples": 1221, "dataset_name": "commonsense_qa"}}, "download_checksums": {"https://s3.amazonaws.com/commensenseqa/train_rand_split.jsonl": {"num_bytes": 3785890, "checksum": "58ffa3c8472410e24b8c43f423d89c8a003d8284698a6ed7874355dedd09a2fb"}, "https://s3.amazonaws.com/commensenseqa/test_rand_split_no_answers.jsonl": {"num_bytes": 423148, "checksum": "b426896d71a9cd064cf01cfaf6e920817c51701ef66028883ac1af2e73ad5f29"}, "https://s3.amazonaws.com/commensenseqa/dev_rand_split.jsonl": {"num_bytes": 471653, "checksum": "3210497fdaae614ac085d9eb873dd7f4d49b6f965a93adadc803e1229fd8a02a"}}, "download_size": 4680691, "dataset_size": 2178420, "size_in_bytes": 6859111}}

dummy/0.1.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:335351ace2a443be2a7c4197e32fde850f8c6fd6c615de3caf4084296a92d940
+size 2155