Datasets:
Languages:
English
Multilinguality:
monolingual
Annotations Creators:
crowdsourced
Source Datasets:
original
ArXiv:
License:
File size: 4,441 Bytes
c47b36b 4476df9 c47b36b 4476df9 c47b36b 4755b63 c2e234b 518f94e 4755b63 518f94e 4755b63 c2e234b 518f94e c2e234b 4755b63 c2e234b 518f94e 4755b63 518f94e c2e234b 4755b63 c2e234b 4755b63 c2e234b 4755b63 c2e234b 518f94e 4755b63 518f94e 4755b63 c2e234b 518f94e c2e234b b2733c2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 |
---
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
|