Datasets:

wise-east
/

spolin

	---
	annotations_creators:
	- crowdsourced
	language_creators:
	- expert-generated
	- other
	language:
	- en
	license:
	- cc-by-nc-4.0
	multilinguality:
	- monolingual
	pretty_name: spolin
	size_categories:
	- 100K<n<1M
	- 10K<n<100K
	source_datasets:
	- original
	task_categories:
	- text-classification
	- text-generation
	task_ids:
	- text-scoring
	- dialogue-modeling
	---

	# SPOLIN
	[![CC BY-NC 4.0][cc-by-nc-shield]][cc-by-nc]


	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Available SPOLIN Versions](#available_spolin_versions)
	- [Relevant Links](#relevant-links)
	- [Dataset Structure](#dataset-structure)
	- [Dataset Statistics](#dataset-statistics)
	- [Other Information](#other-information)
	- [ACL Presentation](#acl-presentation)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)

	## Dataset Description

	### Dataset Summary
	This is the repo for the paper ["Grounding Conversations with Improvised Dialogues"](https://aclanthology.org/2020.acl-main.218/) (ACL2020).
	The _Selected Pairs of Learnable ImprovisatioN_ (SPOLIN) corpus is a collection of more than 68,000 "Yes, and" type dialogue pairs extracted from the Spontaneanation podcast by Paul F. Tompkins, the Cornell Movie-Dialogs Corpus, and the SubTle corpus. For more information, refer to our [paper](https://arxiv.org/abs/2004.09544) or our [project page](https://justin-cho.com/spolin).


	### Available SPOLIN Versions:
	The core dataset that was used for the experiments in the paper only includes _yes-ands_ and non-_yes-ands_ from Spontaneanation and most of what is provided in those extracted from the Cornell Movie-Dialogs Corpus. After the submitting the paper, we continued our iterative data augmentation process, repeating another iteration with the Cornell Movie-Dialogs Corpus and extracting from the SubTle corpus. This expanded version is also included in this repository [here](/data). This latest version of SPOLIN was used to train the model used in our [demo](https://spolin.isi.edu).


	In the `data` folder, we provide two versions of the SPOLIN training set:
	1. Version used for experiments in the ACL paper: `data/spolin-train-acl.csv`
	2. Expanded version: `data/spolin-train.csv`

	### Relevant Links:

	* Project page: https://justin-cho.com/spolin
	* Github repo: https://github.com/wise-east/spolin
	* SpolinBot Demo: https://spolin.isi.edu
	* ACL2020 Paper: https://aclanthology.org/2020.acl-main.218/


	## Dataset Structure
	Fields
	* `id`: unique identifier
	* `prompt`: first utterance in utterance pair
	* `response`: second utterance in utterance pair
	* `label`: yesand = 1, non-yesand = 0
	* `source`: the source for the sample
	* `split`: whether the sample belongs to the training set or the validation set

	## Dataset Statistics

	##### `spolin-train.csv`:
	\|\| yesands\| non-yesands\|
	\|--\|---:\|---:\|
	\|Spontaneanation\|10,459\|5,587*\|
	\|Cornell\|16,426\|18,310\|
	\|SubTle\|40,303\|19,512\|
	\|Total\|67,188\|43,409\|


	##### `spolin-train-acl.csv`:

	\|\| yesands\| non-yesands\|
	\|--\|---:\|---:\|
	\|Spontaneanation\|10,459\|5,587*\|
	\|Cornell\|14,976\|17,851\|
	\|Total\|25,435\|23,438\|

	##### `spolin-valid.csv`:

	\|\| yesands\| non-yesands\|
	\|--\|---:\|---:\|
	\|Spontaneanation\|500\|500*\|
	\|Cornell\|500\|500\|
	\|Total\|1,000\|1,000\|

	\*Artificially collected by mix & matching positive Spontaneanation samples to balance dataset for training classifier

	## Other Information

	### ACL Presentation

	[Video recording](https://slideslive.com/38928948/grounding-conversations-with-improvised-dialogues)


	### Citation Information

	If you use our data for your work, please cite our ACL2020 paper:
	```
	@inproceedings{cho2020spolin,
	title={Grounding Conversations with Improvised Dialogues},
	author={Cho, Hyundong and May, Jonathan},
	booktitle ={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
	publisher = {Association for Computational Linguistics},
	location = {Seattle, Washington, USA},
	year={2020}
	}
	```


	### Licensing Information


	This work is licensed under a [Creative Commons Attribution-NonCommercial 4.0 International License][cc-by-nc].

	[![CC BY-NC 4.0][cc-by-nc-image]][cc-by-nc]

	[cc-by-nc]: http://creativecommons.org/licenses/by-nc/4.0/
	[cc-by-nc-image]: https://licensebuttons.net/l/by-nc/4.0/88x31.png
	[cc-by-nc-shield]: https://img.shields.io/badge/License-CC%20BY--NC%204.0-lightgrey.svg