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--- a/readme.rtf Thu Sep 20 13:27:02 2012 +0100
+++ b/readme.rtf Fri Mar 27 22:25:21 2015 +0000
@@ -1,16 +1,19 @@
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-{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
+{\rtf1\ansi\ansicpg1252\cocoartf1265\cocoasubrtf210
+\cocoascreenfonts1{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\paperw11900\paperh16840\margl1440\margr1440\vieww10800\viewh8400\viewkind0
\pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural
\f0\fs24 \cf0 \
-This is the dataset I used for ISMIR 2012 paper "Evaluation of Musical Features for Emotion Classification"\
+This is the emotion dataset used for ISMIR 2012 paper "Evaluation of Musical Features for Emotion Classification"\
\
It contains 3 parts,\
1. The top tags returned by last.fm (four emotion classes: happy, sad, angry, and relax)\
2. A list of songs labelled with the retrieved from part 1\
3. The fetched song titles that we used in this paper (due to the copyright, we didn't upload preview files)\
+4. The audio files were fetched from Last.fm and 7Digital. Due to the copyright issue, this data set is only for research purpose. \
+\
+Feel free to contact me if you have any questions. \
\
Queen Mary University of London\
Centre for Digital Music\
