TATHYA CIKM' 2017 Dataset
Accompanies the paper: Ayush Patwari, Dan Goldwasser, and Saurabh Bagchi, ¡°A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates,¡± In Proceedings of the 26th  ACM International Conference on Information and Knowledge Management (CIKM) (Short paper), pp. 2259-2262, Nov 6-10, 2017, Singapore. (Acceptance rate: 119/398 = 29.9% (short papers))

Primary contact: patwaria@google.com
Secondary contacts: sbagchi@purdue.edu, dgoldwas@purdue.edu
===================================

Data is stored as json dicts. Use the following fields:

speaker		: speaker of the sentence
debateid	: debate id assigned
id 			: chunk-id within debateid (chunks are separated by speaker pauses)
id-1		: sentence-id within a chunk
text		: text for this sentence
marked		: whether some org fact-checked it
by			: which org(s) fact-checked this statement

Note: ignore fields "checked" and "party" if exists