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---
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
|