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": "\nOur dataset is gathered by using a new representation language to annotate over the AQuA-RAT dataset. AQuA-RAT has provided the questions, options, rationale, and the correct options.\n", "citation": "\n", "homepage": "https://math-qa.github.io/math-QA/", "license": "", "features": {"Problem": {"dtype": "string", "id": null, "_type": "Value"}, "Rationale": {"dtype": "string", "id": null, "_type": "Value"}, "options": {"dtype": "string", "id": null, "_type": "Value"}, "correct": {"dtype": "string", "id": null, "_type": "Value"}, "annotated_formula": {"dtype": "string", "id": null, "_type": "Value"}, "linear_formula": {"dtype": "string", "id": null, "_type": "Value"}, "category": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "math_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": 1844184, "num_examples": 2985, "dataset_name": "math_qa"}, "train": {"name": "train", "num_bytes": 18368826, "num_examples": 29837, "dataset_name": "math_qa"}, "validation": {"name": "validation", "num_bytes": 2752969, "num_examples": 4475, "dataset_name": "math_qa"}}, "download_checksums": {"https://math-qa.github.io/math-QA/data/MathQA.zip": {"num_bytes": 7302821, "checksum": "7344f30456a7aef3176d4866cc953b35b41bec44eda6b00cdbcfde2876b2f07a"}}, "download_size": 7302821, "dataset_size": 22965979, "size_in_bytes": 30268800}}

dummy/0.1.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:62911d2e287d14104f0fe62a3a2477eb2a3a40e6baf5b76641396cbd26168587
+size 1867

math_qa.py

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+"""TODO(math_qa): Add a description here."""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+import os
+
+import datasets
+
+
+# TODO(math_qa): BibTeX citation
+_CITATION = """
+"""
+
+# TODO(math_qa):
+_DESCRIPTION = """
+Our dataset is gathered by using a new representation language to annotate over the AQuA-RAT dataset. AQuA-RAT has provided the questions, options, rationale, and the correct options.
+"""
+_URL = "https://math-qa.github.io/math-QA/data/MathQA.zip"
+
+
+class MathQa(datasets.GeneratorBasedBuilder):
+    """TODO(math_qa): Short description of my dataset."""
+
+    # TODO(math_qa): Set up version.
+    VERSION = datasets.Version("0.1.0")
+
+    def _info(self):
+        # TODO(math_qa): 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 ...
+                    "Problem": datasets.Value("string"),
+                    "Rationale": datasets.Value("string"),
+                    "options": datasets.Value("string"),
+                    "correct": datasets.Value("string"),
+                    "annotated_formula": datasets.Value("string"),
+                    "linear_formula": datasets.Value("string"),
+                    "category": 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://math-qa.github.io/math-QA/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # TODO(math_qa): Downloads the data and defines the splits
+        # dl_manager is a datasets.download.DownloadManager that can be used to
+        # download and extract URLs
+        dl_path = dl_manager.download_and_extract(_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": os.path.join(dl_path, "train.json")},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": os.path.join(dl_path, "test.json")},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": os.path.join(dl_path, "dev.json")},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        # TODO(math_qa): Yields (key, example) tuples from the dataset
+        with open(filepath, encoding="utf-8") as f:
+            data = json.load(f)
+            for id_, row in enumerate(data):
+                yield id_, row