Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-class-classification
Languages:
English
Size:
100K - 1M
License:
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Dataset Card for "coarse_discourse"
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
Languages
Dataset Structure
Data Instances
default
- Size of downloaded dataset files: 4.63 MB
- Size of the generated dataset: 45.45 MB
- Total amount of disk used: 50.08 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: astringfeature.is_self_post: aboolfeature.subreddit: astringfeature.url: astringfeature.majority_link: astringfeature.is_first_post: aboolfeature.majority_type: astringfeature.id_post: astringfeature.post_depth: aint32feature.in_reply_to: astringfeature.annotations: a dictionary feature containing:annotator: astringfeature.link_to_post: astringfeature.main_type: astringfeature.
Data Splits
| name | train |
|---|---|
| default | 116357 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
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, @lewtun, @jplu for adding this dataset.
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Homepage:
Homepage:
Repository:
github.com
Paper:
Characterizing Online Discussion Using Coarse Discourse Sequences
Size of downloaded dataset files:
4.63 MB
Total file size:
4.27 MB
Models trained or fine-tuned on google-research-datasets/coarse_discourse
Updated • 1