albertvillanova HF staff commited on
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e90c21e
1 Parent(s): df64003

Delete loading script

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  1. coarse_discourse.py +0 -116
coarse_discourse.py DELETED
@@ -1,116 +0,0 @@
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- """TODO(coarse_discourse): Add a description here."""
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-
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-
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- import json
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-
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- import datasets
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-
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-
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- # TODO(coarse_discourse): BibTeX citation
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- _CITATION = """\
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- @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} }
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- """
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-
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- # TODO(coarse_discourse):
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- _DESCRIPTION = """\
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- dataset contains discourse annotation and relation on threads from reddit during 2016
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- """
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- # From: https://github.com/google-research-datasets/coarse-discourse
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- _URL = "https://raw.githubusercontent.com/google-research-datasets/coarse-discourse/master/coarse_discourse_dataset.json"
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-
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-
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- class CoarseDiscourse(datasets.GeneratorBasedBuilder):
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- """TODO(coarse_discourse): Short description of my dataset."""
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-
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- # TODO(coarse_discourse): Set up version.
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- VERSION = datasets.Version("0.1.0")
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-
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- def _info(self):
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- # TODO(coarse_discourse): Specifies the datasets.DatasetInfo object
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- return datasets.DatasetInfo(
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- # This is the description that will appear on the datasets page.
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- description=_DESCRIPTION,
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- # datasets.features.FeatureConnectors
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- features=datasets.Features(
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- {
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- # These are the features of your dataset like images, labels ...
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- "title": datasets.Value("string"),
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- "is_self_post": datasets.Value("bool"),
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- "subreddit": datasets.Value("string"),
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- "url": datasets.Value("string"),
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- "majority_link": datasets.Value("string"),
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- "is_first_post": datasets.Value("bool"),
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- "majority_type": datasets.Value("string"),
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- "id_post": datasets.Value("string"),
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- "post_depth": datasets.Value("int32"),
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- "in_reply_to": datasets.Value("string"),
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- "annotations": datasets.features.Sequence(
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- {
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- "annotator": datasets.Value("string"),
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- "link_to_post": datasets.Value("string"),
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- "main_type": datasets.Value("string"),
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- }
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- ),
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- }
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- ),
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- # If there's a common (input, target) tuple from the features,
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- # specify them here. They'll be used if as_supervised=True in
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- # builder.as_dataset.
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- supervised_keys=None,
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- # Homepage of the dataset for documentation
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- homepage="https://github.com/google-research-datasets/coarse-discourse",
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- citation=_CITATION,
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- )
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-
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- def _split_generators(self, dl_manager):
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- """Returns SplitGenerators."""
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- # TODO(coarse_discourse): Downloads the data and defines the splits
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- # dl_manager is a datasets.download.DownloadManager that can be used to
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- # download and extract URLs
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- data_path = dl_manager.download(_URL)
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- return [
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- datasets.SplitGenerator(
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- name=datasets.Split.TRAIN,
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- # These kwargs will be passed to _generate_examples
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- gen_kwargs={
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- "filepath": data_path,
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- },
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- ),
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- ]
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-
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- def _generate_examples(self, filepath):
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- """Yields examples."""
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- # TODO(coarse_discourse): Yields (key, example) tuples from the dataset
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- with open(filepath, encoding="utf-8") as f:
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- for id_, row in enumerate(f):
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- data = json.loads(row)
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- url = data.get("url", "")
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- is_self_post = data.get("is_self_post", "")
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- subreddit = data.get("subreddit", "")
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- title = data.get("title", "")
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- posts = data.get("posts", "")
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- for id1, post in enumerate(posts):
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- maj_link = post.get("majority_link", "")
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- maj_type = post.get("majority_type", "")
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- id_post = post.get("id", "")
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- is_first_post = post.get("is_firs_post", "")
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- post_depth = post.get("post_depth", -1)
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- in_reply_to = post.get("in_reply_to", "")
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- annotations = post["annotations"]
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- annotators = [annotation.get("annotator", "") for annotation in annotations]
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- main_types = [annotation.get("main_type", "") for annotation in annotations]
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- link_posts = [annotation.get("linkk_to_post", "") for annotation in annotations]
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-
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- yield str(id_) + "_" + str(id1), {
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- "title": title,
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- "is_self_post": is_self_post,
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- "subreddit": subreddit,
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- "url": url,
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- "majority_link": maj_link,
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- "is_first_post": is_first_post,
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- "majority_type": maj_type,
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- "id_post": id_post,
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- "post_depth": post_depth,
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- "in_reply_to": in_reply_to,
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- "annotations": {"annotator": annotators, "link_to_post": link_posts, "main_type": main_types},
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- }