Started working with the SICK-dataset

Author: denlogv

data/SICK2014.tsv

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+::::::::::::::::::::::: University of Trento - Italy ::::::::::::::::::::::::::::::::
+
+:::::::::::: SICK (Sentences Involving Compositional Knowledge) data set ::::::::::::
+
+:::::::::::::::::::::http://clic.cimec.unitn.it/composes/sick/ ::::::::::::::::::::::
+
+
+The SICK data set consists of 10,000 English sentence pairs, built starting from two existing 
+paraphrase sets: the 8K ImageFlickr data set (http://nlp.cs.illinois.edu/HockenmaierGroup/data.html) 
+and the SEMEVAL-2012 Semantic Textual Similarity Video Descriptions data set 
+(http://www.cs.york.ac.uk/semeval-2012/task6/index.php?id=data). Each sentence pair is annotated 
+for relatedness in meaning and for the entailment relation between the two elements.
+
+
+
+The SICK data set is released under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 
+Unported License (http://creativecommons.org/licenses/by-nc-sa/3.0/deed.en_US)
+
+When using SICK in published research, please cite:
+M. Marelli, S. Menini, M. Baroni, L. Bentivogli, R. Bernardi and R. Zamparelli. 2014. A SICK cure 
+for the evaluation of compositional distributional semantic models. Proceedings of LREC 2014, 
+Reykjavik (Iceland): ELRA. 
+
+
+
+The SICK data set is used in SemEval 2014 - Task 1: Evaluation of compositional distributional 
+semantic models on full sentences through semantic relatedness and textual entailment
+
+
+
+File Structure: tab-separated text file
+
+Fields:
+
+- pair_ID: sentence pair ID
+
+- sentence_A: sentence A
+
+- sentence_B: sentence B
+
+- entailment_label: textual entailment gold label (NEUTRAL, ENTAILMENT, or CONTRADICTION)
+
+- relatedness_score: semantic relatedness gold score (on a 1-5 continuous scale)
+
+- entailment_AB: entailment for the A-B order (A_neutral_B, A_entails_B, or A_contradicts_B)
+
+- entailment_BA: entailment for the B-A order (B_neutral_A, B_entails_A, or B_contradicts_A)
+
+- sentence_A_original: original sentence from which sentence A is derived
+
+- sentence_B_original: original sentence from which sentence B is derived
+
+- sentence_A_dataset: dataset from which the original sentence A was extracted (FLICKR vs. SEMEVAL)
+
+- sentence_B_dataset: dataset from which the original sentence B was extracted (FLICKR vs. SEMEVAL)
+
+- SemEval_set: set including the sentence pair in SemEval 2014 Task 1 (TRIAL, TRAIN, or TEST)