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

coarse_discourse.py

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+"""TODO(coarse_discourse): Add a description here."""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+import os
+
+import datasets
+
+
+# TODO(coarse_discourse): BibTeX citation
+_CITATION = """\
+@inproceedings{coarsediscourse, title={Characterizing Online Discussion Using Coarse Discourse Sequences}, author={Zhang, Amy X. and Culbertson, Bryan and Paritosh, Praveen}, booktitle={Proceedings of the 11th International AAAI Conference on Weblogs and Social Media}, series={ICWSM '17}, year={2017}, location = {Montreal, Canada} }
+"""
+
+# TODO(coarse_discourse):
+_DESCRIPTION = """\
+dataset contains discourse annotation and relation on threads from reddit during 2016
+"""
+_URL = "https://github.com/google-research-datasets/coarse-discourse/archive/master.zip"
+
+
+class CoarseDiscourse(datasets.GeneratorBasedBuilder):
+    """TODO(coarse_discourse): Short description of my dataset."""
+
+    # TODO(coarse_discourse): Set up version.
+    VERSION = datasets.Version("0.1.0")
+
+    def _info(self):
+        # TODO(coarse_discourse): 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 ...
+                    "title": datasets.Value("string"),
+                    "is_self_post": datasets.Value("bool"),
+                    "subreddit": datasets.Value("string"),
+                    "url": datasets.Value("string"),
+                    "majority_link": datasets.Value("string"),
+                    "is_first_post": datasets.Value("bool"),
+                    "majority_type": datasets.Value("string"),
+                    "id_post": datasets.Value("string"),
+                    "post_depth": datasets.Value("int32"),
+                    "in_reply_to": datasets.Value("string"),
+                    "annotations": datasets.features.Sequence(
+                        {
+                            "annotator": datasets.Value("string"),
+                            "link_to_post": datasets.Value("string"),
+                            "main_type": 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://github.com/google-research-datasets/coarse-discourse",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # TODO(coarse_discourse): 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)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(dl_dir, "coarse-discourse-master", "coarse_discourse_dataset.json")
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        # TODO(coarse_discourse): 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)
+                url = data.get("url", "")
+                is_self_post = data.get("is_self_post", "")
+                subreddit = data.get("subreddit", "")
+                title = data.get("title", "")
+                posts = data.get("posts", "")
+                for id1, post in enumerate(posts):
+                    maj_link = post.get("majority_link", "")
+                    maj_type = post.get("majority_type", "")
+                    id_post = post.get("id", "")
+                    is_first_post = post.get("is_firs_post", "")
+                    post_depth = post.get("post_depth", -1)
+                    in_reply_to = post.get("in_reply_to", "")
+                    annotations = post["annotations"]
+                    annotators = [annotation.get("annotator", "") for annotation in annotations]
+                    main_types = [annotation.get("main_type", "") for annotation in annotations]
+                    link_posts = [annotation.get("linkk_to_post", "") for annotation in annotations]
+
+                    yield str(id_) + "_" + str(id1), {
+                        "title": title,
+                        "is_self_post": is_self_post,
+                        "subreddit": subreddit,
+                        "url": url,
+                        "majority_link": maj_link,
+                        "is_first_post": is_first_post,
+                        "majority_type": maj_type,
+                        "id_post": id_post,
+                        "post_depth": post_depth,
+                        "in_reply_to": in_reply_to,
+                        "annotations": {"annotator": annotators, "link_to_post": link_posts, "main_type": main_types},
+                    }

dataset_infos.json

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+{"default": {"description": "dataset contains discourse annotation and relation on threads from reddit during 2016\n", "citation": "@inproceedings{coarsediscourse, title={Characterizing Online Discussion Using Coarse Discourse Sequences}, author={Zhang, Amy X. and Culbertson, Bryan and Paritosh, Praveen}, booktitle={Proceedings of the 11th International AAAI Conference on Weblogs and Social Media}, series={ICWSM '17}, year={2017}, location = {Montreal, Canada} }\n", "homepage": "https://github.com/google-research-datasets/coarse-discourse", "license": "", "features": {"title": {"dtype": "string", "id": null, "_type": "Value"}, "is_self_post": {"dtype": "bool", "id": null, "_type": "Value"}, "subreddit": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "majority_link": {"dtype": "string", "id": null, "_type": "Value"}, "is_first_post": {"dtype": "bool", "id": null, "_type": "Value"}, "majority_type": {"dtype": "string", "id": null, "_type": "Value"}, "id_post": {"dtype": "string", "id": null, "_type": "Value"}, "post_depth": {"dtype": "int32", "id": null, "_type": "Value"}, "in_reply_to": {"dtype": "string", "id": null, "_type": "Value"}, "annotations": {"feature": {"annotator": {"dtype": "string", "id": null, "_type": "Value"}, "link_to_post": {"dtype": "string", "id": null, "_type": "Value"}, "main_type": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "supervised_keys": null, "builder_name": "coarse_discourse", "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": 45443464, "num_examples": 116357, "dataset_name": "coarse_discourse"}}, "download_checksums": {"https://github.com/google-research-datasets/coarse-discourse/archive/master.zip": {"num_bytes": 4636201, "checksum": "8e1e685c5907a6d654be8b8ed307522fd91ca919f503713fd1627fbe3d43c3cd"}}, "download_size": 4636201, "dataset_size": 45443464, "size_in_bytes": 50079665}}

dummy/0.1.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0e3c0fcee52339651069d3a9189511cb4723eb7643836e64c9f0bf8fcc49b4db
+size 1128