Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-class-classification
Languages:
English
Size:
100K - 1M
License:
| 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. |