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--- |
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annotations_creators: |
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- crowdsourced |
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language_creators: |
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- expert-generated |
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- other |
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languages: |
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- en |
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licenses: |
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- cc-by-nc-4.0 |
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multilinguality: |
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- monolingual |
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pretty_name: spolin |
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size_categories: |
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- 100K<n<1M |
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- 10K<n<100K |
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source_datasets: |
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- original |
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task_categories: |
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- text-classification |
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- text-generation |
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task_ids: |
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- text-scoring |
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- dialogue-modeling |
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--- |
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# SPOLIN |
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[![CC BY-NC 4.0][cc-by-nc-shield]][cc-by-nc] |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Available SPOLIN Versions](#available_spolin_versions) |
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- [Relevant Links](#relevant-links) |
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- [Dataset Structure](#dataset-structure) |
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- [Dataset Statistics](#dataset-statistics) |
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- [Other Information](#other-information) |
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- [ACL Presentation](#acl-presentation) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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## Dataset Description |
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### Dataset Summary |
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This is the repo for the paper ["Grounding Conversations with Improvised Dialogues"](https://aclanthology.org/2020.acl-main.218/) (ACL2020). |
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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). |
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### Available SPOLIN Versions: |
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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). |
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In the `data` folder, we provide two versions of the SPOLIN training set: |
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1. Version used for experiments in the ACL paper: `data/spolin-train-acl.csv` |
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2. Expanded version: `data/spolin-train.csv` |
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### Relevant Links: |
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* Project page: https://justin-cho.com/spolin |
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* Github repo: https://github.com/wise-east/spolin |
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* SpolinBot Demo: https://spolin.isi.edu |
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* ACL2020 Paper: https://aclanthology.org/2020.acl-main.218/ |
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## Dataset Structure |
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**Fields** |
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* `id`: unique identifier |
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* `prompt`: first utterance in utterance pair |
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* `response`: second utterance in utterance pair |
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* `label`: yesand = 1, non-yesand = 0 |
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* `source`: the source for the sample |
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* `split`: whether the sample belongs to the training set or the validation set |
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## Dataset Statistics |
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##### `spolin-train.csv`: |
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|| yesands| non-yesands| |
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|--|---:|---:| |
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|Spontaneanation|10,459|5,587*| |
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|Cornell|16,426|18,310| |
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|SubTle|40,303|19,512| |
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|Total|67,188|43,409| |
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##### `spolin-train-acl.csv`: |
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|| yesands| non-yesands| |
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|--|---:|---:| |
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|Spontaneanation|10,459|5,587*| |
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|Cornell|14,976|17,851| |
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|Total|25,435|23,438| |
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##### `spolin-valid.csv`: |
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|| yesands| non-yesands| |
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|--|---:|---:| |
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|Spontaneanation|500|500*| |
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|Cornell|500|500| |
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|Total|1,000|1,000| |
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\*Artificially collected by mix & matching positive Spontaneanation samples to balance dataset for training classifier |
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## Other Information |
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### ACL Presentation |
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[Video recording](https://slideslive.com/38928948/grounding-conversations-with-improvised-dialogues) |
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### Citation Information |
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If you use our data for your work, please cite our ACL2020 paper: |
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``` |
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@inproceedings{cho2020spolin, |
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title={Grounding Conversations with Improvised Dialogues}, |
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author={Cho, Hyundong and May, Jonathan}, |
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booktitle ={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics}, |
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publisher = {Association for Computational Linguistics}, |
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location = {Seattle, Washington, USA}, |
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year={2020} |
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} |
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``` |
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### Licensing Information |
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This work is licensed under a [Creative Commons Attribution-NonCommercial 4.0 International License][cc-by-nc]. |
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[![CC BY-NC 4.0][cc-by-nc-image]][cc-by-nc] |
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[cc-by-nc]: http://creativecommons.org/licenses/by-nc/4.0/ |
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[cc-by-nc-image]: https://licensebuttons.net/l/by-nc/4.0/88x31.png |
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[cc-by-nc-shield]: https://img.shields.io/badge/License-CC%20BY--NC%204.0-lightgrey.svg |
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