README.md

metadata

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 Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • 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
  • Contributions

Dataset Description

• Homepage:
• Repository: https://github.com/google-research-datasets/coarse-discourse
• Paper: Characterizing Online Discussion Using Coarse Discourse Sequences
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 4.63 MB
• Size of the generated dataset: 45.45 MB
• Total amount of disk used: 50.08 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

Languages

More Information Needed

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: 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

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

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.