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

coqa.py

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+"""TODO(coqa): Add a description here."""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+
+import datasets
+
+
+# TODO(coqa): BibTeX citation
+_CITATION = """\
+@InProceedings{SivaAndAl:Coca,
+       author = {Siva, Reddy and Danqi, Chen and  Christopher D., Manning},
+        title = {WikiQA: A Challenge Dataset for Open-Domain Question Answering},
+      journal = { arXiv},
+         year = {2018},
+
+}
+"""
+
+# TODO(coqa):
+_DESCRIPTION = """\
+CoQA: A Conversational Question Answering Challenge
+"""
+
+_TRAIN_DATA_URL = "https://datasets.stanford.edu/data/coqa/coqa-train-v1.0.json"
+_DEV_DATA_URL = "https://datasets.stanford.edu/data/coqa/coqa-dev-v1.0.json"
+
+
+class Coqa(datasets.GeneratorBasedBuilder):
+    """TODO(coqa): Short description of my dataset."""
+
+    # TODO(coqa): Set up version.
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        # TODO(coqa): 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(
+                {
+                    "source": datasets.Value("string"),
+                    "story": datasets.Value("string"),
+                    "questions": datasets.features.Sequence(datasets.Value("string")),
+                    "answers": datasets.features.Sequence(
+                        {
+                            "input_text": datasets.Value("string"),
+                            "answer_start": datasets.Value("int32"),
+                            "answer_end": 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://stanfordnlp.github.io/coqa/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # TODO(coqa): Downloads the data and defines the splits
+        # dl_manager is a datasets.download.DownloadManager that can be used to
+        # download and extract URLs
+        urls_to_download = {"train": _TRAIN_DATA_URL, "dev": _DEV_DATA_URL}
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+
+        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": "validation"}
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        """Yields examples."""
+        # TODO(coqa): Yields (key, example) tuples from the dataset
+        with open(filepath, encoding="utf-8") as f:
+            data = json.load(f)
+            for row in data["data"]:
+                questions = [question["input_text"] for question in row["questions"]]
+                story = row["story"]
+                source = row["source"]
+                answers_start = [answer["span_start"] for answer in row["answers"]]
+                answers_end = [answer["span_end"] for answer in row["answers"]]
+                answers = [answer["input_text"] for answer in row["answers"]]
+                yield row["id"], {
+                    "source": source,
+                    "story": story,
+                    "questions": questions,
+                    "answers": {"input_text": answers, "answer_start": answers_start, "answer_end": answers_end},
+                }

dataset_infos.json

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+{"default": {"description": "CoQA: A Conversational Question Answering Challenge\n", "citation": "@InProceedings{SivaAndAl:Coca,\n       author = {Siva, Reddy and Danqi, Chen and  Christopher D., Manning},\n        title = {WikiQA: A Challenge Dataset for Open-Domain Question Answering},\n      journal = { arXiv},\n         year = {2018},\n\n}\n", "homepage": "https://stanfordnlp.github.io/coqa/", "license": "", "features": {"source": {"dtype": "string", "id": null, "_type": "Value"}, "story": {"dtype": "string", "id": null, "_type": "Value"}, "questions": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "answers": {"feature": {"input_text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}, "answer_end": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "supervised_keys": null, "builder_name": "coqa", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 18014921, "num_examples": 7199, "dataset_name": "coqa"}, "validation": {"name": "validation", "num_bytes": 1227955, "num_examples": 500, "dataset_name": "coqa"}}, "download_checksums": {"https://nlp.stanford.edu/data/coqa/coqa-train-v1.0.json": {"num_bytes": 49001836, "checksum": "b0fdb2bc1bd38dd3ca2ce5fa2ac3e02c6288ac914f241ac409a655ffb6619fa6"}, "https://nlp.stanford.edu/data/coqa/coqa-dev-v1.0.json": {"num_bytes": 9090845, "checksum": "dfa367a9733ce53222918d0231d9b3bedc2b8ee831a2845f62dfc70701f2540a"}}, "download_size": 58092681, "dataset_size": 19242876, "size_in_bytes": 77335557}}

dummy/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:11b3fd16d8a3d82f9871119edd0448eb5b8373f535df692a069c0a41d99da48e
+size 4224