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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+{"v1.1.0": {"description": "automatic translation of the Stanford Question Answering Dataset (SQuAD) v2 into Spanish\n", "citation": "@article{2016arXiv160605250R,\n       author = {Casimiro Pio , Carrino and  Marta R. , Costa-jussa and  Jose A. R. , Fonollosa},\n        title = \"{Automatic Spanish Translation of the SQuAD Dataset for Multilingual\nQuestion Answering}\",\n      journal = {arXiv e-prints},\n         year = 2019,\n          eid = {arXiv:1912.05200v1},\n        pages = {arXiv:1912.05200v1},\narchivePrefix = {arXiv},\n       eprint = {1912.05200v2},\n}\n", "homepage": "https://github.com/ccasimiro88/TranslateAlignRetrieve", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "supervised_keys": null, "builder_name": "squad_es", "config_name": "v1.1.0", "version": {"version_str": "1.1.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 83680438, "num_examples": 87595, "dataset_name": "squad_es"}, "validation": {"name": "validation", "num_bytes": 10955800, "num_examples": 10570, "dataset_name": "squad_es"}}, "download_checksums": {"https://raw.githubusercontent.com/ccasimiro88/TranslateAlignRetrieve/master/SQuAD-es-v1.1/train-v1.1-es.json": {"num_bytes": 33946311, "checksum": "196cfa14b6ba7d903f02e6edc20485bb959b72c965b6a2d6883b8ffd74dc2c3b"}, "https://raw.githubusercontent.com/ccasimiro88/TranslateAlignRetrieve/master/SQuAD-es-v1.1/dev-v1.1-es.json": {"num_bytes": 5345051, "checksum": "969c846df740ee2725ac23b4d2882a58ef19a4c696767b306227c243ed99f461"}}, "download_size": 39291362, "dataset_size": 94636238, "size_in_bytes": 133927600}}

dummy/v1.1.0/1.1.0/dummy_data.zip

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+oid sha256:401abe1449adda90860469f4199488871be3dcfa4f12766c77717a132c0d65ae
+size 1888

dummy/v2.0.0/2.0.0/dummy_data.zip

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+oid sha256:cd9efb96b7b59af7ef7a0b8f1302852c0efa4c6e2068ac17679ae301afaf4ce5
+size 1888

squad_es.py

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+"""TODO(squad_es): Add a description here."""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+import os
+
+import datasets
+
+
+# TODO(squad_es): BibTeX citation
+_CITATION = """\
+@article{2016arXiv160605250R,
+       author = {Casimiro Pio , Carrino and  Marta R. , Costa-jussa and  Jose A. R. , Fonollosa},
+        title = "{Automatic Spanish Translation of the SQuAD Dataset for Multilingual
+Question Answering}",
+      journal = {arXiv e-prints},
+         year = 2019,
+          eid = {arXiv:1912.05200v1},
+        pages = {arXiv:1912.05200v1},
+archivePrefix = {arXiv},
+       eprint = {1912.05200v2},
+}
+"""
+
+# TODO(squad_es_v1):
+_DESCRIPTION = """\
+automatic translation of the Stanford Question Answering Dataset (SQuAD) v2 into Spanish
+"""
+
+_URL = "https://raw.githubusercontent.com/ccasimiro88/TranslateAlignRetrieve/master/"
+
+
+class SquadEsConfig(datasets.BuilderConfig):
+    """BuilderConfig for SQUADEsV2."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for SQUADEsV2.
+
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(SquadEsConfig, self).__init__(**kwargs)
+
+
+class SquadEs(datasets.GeneratorBasedBuilder):
+    """TODO(squad_es): Short description of my dataset."""
+
+    # TODO(squad_es): Set up version.
+    VERSION = datasets.Version("0.1.0")
+
+    BUILDER_CONFIGS = [
+        SquadEsConfig(
+            name="v1.1.0",
+            version=datasets.Version("1.1.0", ""),
+            description="Plain text Spanish squad version 1",
+        ),
+        SquadEsConfig(
+            name="v2.0.0",
+            version=datasets.Version("2.0.0", ""),
+            description="Plain text Spanish squad version 2",
+        ),
+    ]
+
+    def _info(self):
+        # TODO(squad_es): 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"),
+                    "title": datasets.Value("string"),
+                    "context": datasets.Value("string"),
+                    "question": datasets.Value("string"),
+                    "answers": datasets.features.Sequence(
+                        {
+                            "text": datasets.Value("string"),
+                            "answer_start": datasets.Value("int32"),
+                        }
+                    ),
+                }
+            ),
+            # 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://github.com/ccasimiro88/TranslateAlignRetrieve",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # TODO(squad_es): Downloads the data and defines the splits
+        # dl_manager is a datasets.download.DownloadManager that can be used to
+
+        # download and extract URLs
+        v1_urls = {
+            "train": os.path.join(_URL, "SQuAD-es-v1.1/train-v1.1-es.json"),
+            "dev": os.path.join(_URL, "SQuAD-es-v1.1/dev-v1.1-es.json"),
+        }
+        v2_urls = {
+            "train": os.path.join(_URL, "SQuAD-es-v2.0/train-v2.0-es.json"),
+            "dev": os.path.join(_URL, "SQuAD-es-v2.0/dev-v2.0-es.json"),
+        }
+        if self.config.name == "v1.1.0":
+            dl_dir = dl_manager.download_and_extract(v1_urls)
+        elif self.config.name == "v2.0.0":
+            dl_dir = dl_manager.download_and_extract(v2_urls)
+        else:
+            raise Exception("version does not match any existing one")
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": dl_dir["train"]},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": dl_dir["dev"]},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        # TODO(squad_es): Yields (key, example) tuples from the dataset
+        with open(filepath, encoding="utf-8") as f:
+            data = json.load(f)
+            for example in data["data"]:
+                title = example.get("title", "").strip()
+                for paragraph in example["paragraphs"]:
+                    context = paragraph["context"].strip()
+                    for qa in paragraph["qas"]:
+                        question = qa["question"].strip()
+                        id_ = qa["id"]
+
+                        answer_starts = [answer["answer_start"] for answer in qa["answers"]]
+                        answers = [answer["text"].strip() for answer in qa["answers"]]
+
+                        yield id_, {
+                            "title": title,
+                            "context": context,
+                            "question": question,
+                            "id": id_,
+                            "answers": {
+                                "answer_start": answer_starts,
+                                "text": answers,
+                            },
+                        }