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README.md

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----
-annotations_creators:
-- crowdsourced
-language:
-- en
-language_creators:
-- found
-license:
-- cc-by-4.0
-multilinguality:
-- monolingual
-pretty_name: Coarse Discourse
-size_categories:
-- 100K<n<1M
-source_datasets:
-- original
-task_categories:
-- text-classification
-task_ids:
-- multi-class-classification
-paperswithcode_id: coarse-discourse
-dataset_info:
-  features:
-  - name: title
-    dtype: string
-  - name: is_self_post
-    dtype: bool
-  - name: subreddit
-    dtype: string
-  - name: url
-    dtype: string
-  - name: majority_link
-    dtype: string
-  - name: is_first_post
-    dtype: bool
-  - name: majority_type
-    dtype: string
-  - name: id_post
-    dtype: string
-  - name: post_depth
-    dtype: int32
-  - name: in_reply_to
-    dtype: string
-  - name: annotations
-    sequence:
-    - name: annotator
-      dtype: string
-    - name: link_to_post
-      dtype: string
-    - name: main_type
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 45443464
-    num_examples: 116357
-  download_size: 4636201
-  dataset_size: 45443464
----
-
-# Dataset Card for "coarse_discourse"
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:**
-- **Repository:** https://github.com/google-research-datasets/coarse-discourse
-- **Paper:** [Characterizing Online Discussion Using Coarse Discourse Sequences](https://research.google/pubs/pub46055/)
-- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Size of downloaded dataset files:** 4.42 MB
-- **Size of the generated dataset:** 43.34 MB
-- **Total amount of disk used:** 47.76 MB
-
-### Dataset Summary
-
-A large corpus of discourse annotations and relations on ~10K forum threads.
-
-We collect and release a corpus of over 9,000 threads comprising over 100,000 comments manually annotated via paid crowdsourcing with discourse acts and randomly sampled from the site Reddit.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Languages
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Dataset Structure
-
-### Data Instances
-
-#### default
-
-- **Size of downloaded dataset files:** 4.42 MB
-- **Size of the generated dataset:** 43.34 MB
-- **Total amount of disk used:** 47.76 MB
-
-An example of 'train' looks as follows.
-```
-{
-    "annotations": {
-        "annotator": ["fc96a15ab87f02dd1998ff55a64f6478", "e9e4b3ab355135fa954badcc06bfccc6", "31ac59c1734c1547d4d0723ff254c247"],
-        "link_to_post": ["", "", ""],
-        "main_type": ["elaboration", "elaboration", "elaboration"]
-    },
-    "id_post": "t1_c9b30i1",
-    "in_reply_to": "t1_c9b2nyd",
-    "is_first_post": false,
-    "is_self_post": true,
-    "majority_link": "t1_c9b2nyd",
-    "majority_type": "elaboration",
-    "post_depth": 2,
-    "subreddit": "100movies365days",
-    "title": "DTX120: #87 - Nashville",
-    "url": "https://www.reddit.com/r/100movies365days/comments/1bx6qw/dtx120_87_nashville/"
-}
-```
-
-### Data Fields
-
-The data fields are the same among all splits.
-
-#### default
-- `title`: a `string` feature.
-- `is_self_post`: a `bool` feature.
-- `subreddit`: a `string` feature.
-- `url`: a `string` feature.
-- `majority_link`: a `string` feature.
-- `is_first_post`: a `bool` feature.
-- `majority_type`: a `string` feature.
-- `id_post`: a `string` feature.
-- `post_depth`: a `int32` feature.
-- `in_reply_to`: a `string` feature.
-- `annotations`: a dictionary feature containing:
-  - `annotator`: a `string` feature.
-  - `link_to_post`: a `string` feature.
-  - `main_type`: a `string` feature.
-
-### Data Splits
-
-| name  |train |
-|-------|-----:|
-|default|116357|
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the source language producers?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the annotators?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Personal and Sensitive Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Discussion of Biases
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Other Known Limitations
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Licensing Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Citation Information
-
-```
-@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} }
-
-```
-
-
-### Contributions
-
-Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@jplu](https://github.com/jplu) for adding this dataset.

coarse_discourse.py

@@ -1,116 +0,0 @@
-"""TODO(coarse_discourse): Add a description here."""
-
-
-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}}

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