
# 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:** 4.63 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](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:** 4.63 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](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.
task_categories:text-classification task_ids:multi-class-classification annotations_creators:crowdsourced language_creators:found multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:en license:cc-by-4.0 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"], "paperswithcode_id": "coarse-discourse", "pretty_name": "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": 45097556, "num_examples": 116357}], "download_size": 4256575, "dataset_size": 45097556}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
TAGS
#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-4.0 #region-us 

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: URL
* Paper: Characterizing Online Discussion Using Coarse Discourse Sequences
* Point of Contact:
* 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


### 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.


### 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



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


### Contributions


Thanks to @thomwolf, @lewtun, @jplu for adding this dataset.



### 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. ### 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



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 ### Contributions


Thanks to @thomwolf, @lewtun, @jplu for adding this dataset.
TAGS
#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-4.0 #region-us 
 ### 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. ### 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



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 ### Contributions


Thanks to @thomwolf, @lewtun, @jplu for adding this dataset.