| --- |
| annotations_creators: |
| - expert-generated |
| language_creators: |
| - crowdsourced |
| language: |
| - en |
| license: |
| - mit |
| multilinguality: |
| - monolingual |
| size_categories: |
| - 100K<n<1M |
| source_datasets: |
| - original |
| task_categories: |
| - question-answering |
| - summarization |
| - text-retrieval |
| - text-generation |
| task_ids: |
| - abstractive-qa |
| - document-retrieval |
| - extractive-qa |
| pretty_name: 'DebateSum: A large-scale argument mining and summarization dataset' |
| language_bcp47: |
| - en-US |
| tags: |
| - conditional-text-generation |
| --- |
| |
| # DebateSum |
| Corresponding code repo for the upcoming paper at ARGMIN 2020: "DebateSum: A large-scale argument mining and summarization dataset" |
|
|
| Arxiv pre-print available here: https://arxiv.org/abs/2011.07251 |
|
|
| Check out the presentation date and time here: https://argmining2020.i3s.unice.fr/node/9 |
|
|
| Full paper as presented by the ACL is here: https://www.aclweb.org/anthology/2020.argmining-1.1/ |
|
|
| Video of presentation at COLING 2020: https://underline.io/lecture/6461-debatesum-a-large-scale-argument-mining-and-summarization-dataset |
|
|
| The dataset is distributed as csv files. |
|
|
| A search engine over DebateSum (as well as some additional evidence not included in DebateSum) is available as [debate.cards](http://debate.cards/). It's very good quality and allows for the evidence to be viewed in the format that debaters use. |
|
|
| # Data |
|
|
| DebateSum consists of **187328** debate documents, arguements (also can be thought of as abstractive summaries, or queries), word-level extractive summaries, citations, and associated metadata organized by topic-year. This data is ready for analysis by NLP systems. |
|
|
| ## Download |
| All data is accesable in a parsed format organized by topic year [here](https://mega.nz/folder/ZdQGmK6b#-0hoBWc5fLYuxQuH25feXg) |
|
|
| Addtionally, the trained word-vectors for [debate2vec](https://github.com/Hellisotherpeople/debate2vec) are also found in that folder. |
|
|
| ## Regenerating it yourself |
|
|
| This is useful as the debaters who produce the evidence release their work every year. Soon enough I will update to include the 2020-2021 topic. |
|
|
| *Step 1: Download all open evidence files from [Open Evidence](https://openev.debatecoaches.org/) and unzip them into a directory. The links are as follows:* |
|
|
| * [2019](https://s3.amazonaws.com/openev/2019OpenEv.zip) - Resolved: The United States federal government should substantially reduce Direct Commercial Sales and/or Foreign Military Sales of arms from the United States. |
| * [2018](https://s3.amazonaws.com/openev/2018OpenEv.zip) - Resolved: The United States federal government should substantially reduce its restrictions on legal immigration to the United States. |
| * [2017](https://s3.amazonaws.com/openev/2017OpenEv.zip) - Resolved: The United States federal government should substantially increase its funding and/or regulation of elementary and/or secondary education in the United States. |
| * [2016](https://s3.amazonaws.com/openev/2016OpenEv.zip) - Resolved: The United States federal government should substantially increase its economic and/or diplomatic engagement with the People’s Republic of China. |
| * [2015](https://s3.amazonaws.com/openev/2015OpenEv.zip) - Resolved: The United States federal government should substantially curtail its domestic surveil-lance. |
| * [2014](https://s3.amazonaws.com/openev/2014OpenEv.zip) - Resolved: The United States federal government should substantially increase its non-military exploration and/or development of the Earth’s oceans. |
| * [2013](https://s3.amazonaws.com/openev/2013OpenEv.zip) - Resolved: The United States federal government should substantially increase its economic en-gagement toward Cuba, Mexico or Venezuela. |
|
|
|
|
| *Step 2: Convert all evidence from docx files to html5 files using [pandoc](https://pandoc.org/) with this command:* |
| ``` |
| for f in *.docx; do pandoc "$f" -s -o "${f%.docx}.html5"; done |
| ``` |
|
|
| *Step 3: install the dependencies for make_debate_dataset.py.* |
|
|
| ``` |
| pip install -r requirements.txt |
| ``` |
|
|
| *Step 4: Modify the folder and file locations as needed for your system, and run make_debate_dataset.py* |
|
|
| ``` |
| python3 make_debate_dataset.py |
| ``` |
|
|
| # Credits |
| Huge thanks to [Arvind Balaji](https://github.com/arvind-balaji) for making debate.cards and being second author on this paper! |
|
|
