Overview
The 3000 sentences are divided as follows.
– 1000 sentences taken from Wikipedia articles that discuss various topics, such as those in Debatabase (http://idebate.org/debatabase)
– 1000 sentences taken from professional speakers discussing some of those topics. Those sentences have two forms (thus resulting in 2000 sentence): the output of an Automatic Speech Recognition (ASR) engine; and a cleansed manual transcription of it.
There are total 6375 Mentions in the Wikipedia sentences and 6239 Mentions in the spoken sentences.
Dataset Metadata
| Format | License | Domain | Number of Records | Size | Originally Published |
|---|---|---|---|---|---|
|
ANN |
CC-BY-SA 3.0 | Natural Language Processing |
3,000 sentences and mentions |
1.8 MB | January 25, 2018 |
Example Records
history|||http://dbpedia.org/resource/History|||34|||41
prejudice|||http://dbpedia.org/resource/Prejudice|||60|||69
societal level|||http://dbpedia.org/resource/Social_structure|||75|||89
consequences|||http://dbpedia.org/resource/Consequentialism|||157|||169
consequences|||http://dbpedia.org/resource/Unintended_consequences|||157|||169
affirmative action|||http://dbpedia.org/resource/Affirmative_action|||241|||259
Related Links
- IBM Project Debater Project Debater is the first AI system that can debate humans on complex topics. The goal is to help people build persuasive arguments and make well-informed decisions. This dataset contributed to training the models in Project Debater.
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- Data Asset eXchange (DAX) Explore useful and relevant data sets for enterprise data science.
- Model Asset eXchange (MAX) A place for developers to find and use free and open source deep learning models.
- Center for Open-Source Data & AI Technologies (CODAIT) Improving the Enterprise AI Lifecycle in Open Source.