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Hi, I see the Second Hand Songs data files have an interesting structure. Do you have any recommendations for how to read this structure into a pandas dataframe? Perhaps a function that would produce a pandas dataframe of the intended data?
Thanks.
Structure:
# TESTING SET
# SECONDHANDSONGS DATASET
# http://labrosa.ee.columbia.edu/millionsong/secondhand
# A collaboration with the Million Song Dataset team
# list of clique created on Fri Mar 25 12:07:37 2011
# contact: Thierry Bertin-Mahieux <[email protected]>
# FORMAT for each line:
# # - comment, to ignore
# %a,b,c, title - beginning of a clique (group of cover songs)
# the numbers a,b,c are "work" on secondhandsongs.com
# title is chosen at random from songs in the clique
# TID<SEP>AID<SEP>perf - MSD track id, artist id and SHS performance for one track
# in the current clique
# Please get involved with www.secondhandsongs.com, and enjoy this dataset!
%115402,74782, Putty (In Your Hands)
TRJVDMI128F4281B99<SEP>AR46LG01187B98DB5D<SEP>74784
TRNJXCO128F92E1930<SEP>ARQD13K1187B98E441<SEP>138584
%24350, I.G.Y. (Album Version)
TRIBOIS128F9340B19<SEP>ARUVZYG1187B9B2809<SEP>24350
TRGXZDU128F9301E53<SEP>AR4LE591187FB3FCFB<SEP>24363
%79178, When The Catfish Is In Bloom
TRQSIOY128F92FACA7<SEP>ARU75JD1187FB38B79<SEP>79178
TRXEFPP128F92F9D97<SEP>ARZDN5A1187B99338B<SEP>79186
%11012, Sheer Heart Attack
TRXIXMS128F4287B96<SEP>ARL4TII1187B9B46E1<SEP>11012
TRABVTG128F934AB80<SEP>AR9BVRM1187FB51139<SEP>97131
TRRZZZZ128F422F784<SEP>ARNFBNR1187B9A25C2<SEP>-1
%5262, Calling Dr. Love
TRNBZMV128F42B261C<SEP>ARGCVZG1187B9B916F<SEP>26300
TRZFOYF128F148D281<SEP>ARMI8BW1187FB57B2E<SEP>5262
%10974, Standing At The Crossroads
TRNTRUC128F4234EB5<SEP>AR49MOS1187B991A8B<SEP>139493
TRFACVP128F931DF8E<SEP>ARXKMZJ11F4C83DF37<SEP>101217
TRGJNCX128F1456B59<SEP>ARCOBLE1187B9A2446<SEP>32310
TRLGBDK128F9314B44<SEP>ARZENOX1187B98A645<SEP>141237
TRETOLL128F4266338<SEP>ARKJHKX1187FB5AEE5<SEP>17039
TROKQBW128F92FACDF<SEP>AR5U94U1187FB5CDCF<SEP>16206
TRKGFVN128F4250F29<SEP>ARH1XAK1187B98F188<SEP>38920
TRVJQRV128F4214321<SEP>ARZHSES1187FB58AAC<SEP>10975
TRTGOUT128F92F9590<SEP>ARQ8BBK1187FB49C9A<SEP>90772
%42790, The Hustle Is On
TRTRMDB128F4267363<SEP>ARGRDHI1187B9B93F0<SEP>99698
TRGYGGS12903CF2C06<SEP>AR8Q4RZ1187FB46BDC<SEP>42790
The text was updated successfully, but these errors were encountered:
Hi, I see the Second Hand Songs data files have an interesting structure. Do you have any recommendations for how to read this structure into a pandas dataframe? Perhaps a function that would produce a pandas dataframe of the intended data?
Thanks.
Structure:
The text was updated successfully, but these errors were encountered: