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8446840abe7c375651a5568fab956797ba408621
ami
AMI_EN2001a_H03_MEE067_0441989_0442150
I think it'd be very useful.
I THINK IT'D BE VERY USEFUL
gpt-5.6-luna
MEE067
MEE067
1.609863
4,419.890137
4,421.5
AMI_EN2001a_H03_MEE067_0441989_0442150
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
900
af2e20f3280ce24e6fed2a40bf9bca35bc1793b0
ami
AMI_EN2001a_H01_FEO066_0054204_0054285
Yes.
YES
gpt-5.6-luna
FEO066
FEO066
0.809998
542.039978
542.849976
AMI_EN2001a_H01_FEO066_0054204_0054285
EN2001a
H01
null
null
null
null
null
null
null
train-00000-of-00042.parquet
901
1bed234b29cefb8544cafa79c813e2177c272f97
ami
AMI_EN2001a_H04_MEO069_0056809_0057041
I I thought we couldn't do that.
I I THOUGHT WE COULDN'T DO THAT
gpt-5.6-luna
MEO069
MEO069
2.319946
568.090027
570.409973
AMI_EN2001a_H04_MEO069_0056809_0057041
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
902
4b8e3e61dac90ad9b5620ed199b081f82757c3a8
ami
AMI_EN2001a_H03_MEE067_0096167_0096348
I think it would be like an hour or two's work.
I THINK IT WOULD BE LIKE AN HOUR OR TWO'S WORK
gpt-5.6-luna
MEE067
MEE067
1.809998
961.669983
963.47998
AMI_EN2001a_H03_MEE067_0096167_0096348
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
903
054c26ac8392573778cd6416464d91f9ad2d5a30
ami
AMI_EN2001a_H00_MEE068_0474692_0474708
Alright.
ALRIGHT
gpt-5.6-luna
MEE068
MEE068
0.160156
4,746.919922
4,747.080078
AMI_EN2001a_H00_MEE068_0474692_0474708
EN2001a
H00
null
null
null
null
null
null
null
train-00000-of-00042.parquet
904
141d811e6450079878d0e648670a040a85ea0d11
ami
AMI_EN2001a_H04_MEO069_0099696_0100150
Okay, so I mean so that means that there's probably even if you go on an per utterance level.
OKAY SO I MEAN SO THAT MEANS THAT THERE'S PROBABLY EVEN IF YOU GO ON AN PER UTTERANCE LEVEL
gpt-5.6-luna
MEO069
MEO069
4.539978
996.960022
1,001.5
AMI_EN2001a_H04_MEO069_0099696_0100150
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
905
230bed5de4c8850bf10d388aabae0650c8b3c536
ami
AMI_EN2001a_H00_MEE068_0116076_0116436
Yeah, I think that's the idea, it just loads the particular ones it needs.
YEAH I THINK THAT'S THE IDEA IT JUST LOADS THE PARTICULAR ONES IT NEEDS
gpt-5.6-luna
MEE068
MEE068
3.599976
1,160.76001
1,164.359985
AMI_EN2001a_H00_MEE068_0116076_0116436
EN2001a
H00
null
null
null
null
null
null
null
train-00000-of-00042.parquet
906
ddbe5b9762578c3ced3b52413fdb5db510d95758
ami
AMI_EN2001a_H04_MEO069_0065185_0065436
Yeah, and I w yeah.
YEAH AND I W YEAH
gpt-5.6-luna
MEO069
MEO069
2.51001
651.849976
654.359985
AMI_EN2001a_H04_MEO069_0065185_0065436
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
907
48bfa228bb515fbc0a6d0f04f7f0a044d78a8f53
ami
AMI_EN2001a_H03_MEE067_0242869_0243009
It's the most boring task.
IT'S THE MOST BORING TASK
gpt-5.6-luna
MEE067
MEE067
1.400146
2,428.689941
2,430.090088
AMI_EN2001a_H03_MEE067_0242869_0243009
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
908
882c2b3678df762161ed8577f2c62a930c744d81
ami
AMI_EN2001a_H04_MEO069_0160722_0161372
Which it's the only information it has that has whatever a number for for the um weight.
WHICH IT'S THE ONLY INFORMATION IT HAS THAT HAS WHATEVER A NUMBER FOR FOR THE UM WEIGHT
gpt-5.6-luna
MEO069
MEO069
6.5
1,607.219971
1,613.719971
AMI_EN2001a_H04_MEO069_0160722_0161372
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
909
e4f03c612afc6b042ea7dc3816023a247a8797a1
ami
AMI_EN2001a_H04_MEO069_0151518_0151624
Alerts the text display.
ALERTS THE TEXT DISPLAY
gpt-5.6-luna
MEO069
MEO069
1.059937
1,515.180054
1,516.23999
AMI_EN2001a_H04_MEO069_0151518_0151624
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
910
089b3936b70370e9769acc38691e6047be53b164
ami
AMI_EN2001a_H04_MEO069_0448064_0448457
Sort of our corpus that would still be from one series only.
SORT OF OUR CORPUS THAT WOULD STILL BE FROM ONE SERIES ONLY
gpt-5.6-luna
MEO069
MEO069
3.929688
4,480.640137
4,484.569824
AMI_EN2001a_H04_MEO069_0448064_0448457
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
911
7b793ebb75b7a0613c03a33088c5593210cd5887
ami
AMI_EN2001a_H04_MEO069_0065763_0066047
So what we have is we would have a word.
SO WHAT WE HAVE IS WE WOULD HAVE A WORD
gpt-5.6-luna
MEO069
MEO069
2.839966
657.630005
660.469971
AMI_EN2001a_H04_MEO069_0065763_0066047
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
912
a6f2a71dc9f8f33d8da78831be0939aaf2a19164
ami
AMI_EN2001a_H04_MEO069_0300138_0300238
Be careful with that.
BE CAREFUL WITH THAT
gpt-5.6-luna
MEO069
MEO069
1
3,001.379883
3,002.379883
AMI_EN2001a_H04_MEO069_0300138_0300238
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
913
3aad8d247aa9acbdffc1ed4bde3b3ade06e9fe07
ami
AMI_EN2001a_H04_MEO069_0167587_0167727
Okay.
OKAY
gpt-5.6-luna
MEO069
MEO069
1.400024
1,675.869995
1,677.27002
AMI_EN2001a_H04_MEO069_0167587_0167727
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
914
c586dcf63a761116fa5af933afdd3fa4c8ee5954
ami
AMI_EN2001a_H04_MEO069_0491617_0492192
Like for DIL I wrote something that counts the the different occurrences of all the tags um.
LIKE FOR DIL I WROTE SOMETHING THAT COUNTS THE THE DIFFERENT OCCURRENCES OF ALL THE TAGS UM
gpt-5.6-luna
MEO069
MEO069
5.75
4,916.169922
4,921.919922
AMI_EN2001a_H04_MEO069_0491617_0492192
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
915
0c73d8c184bb5c839393636efe3ad965042e13d6
ami
AMI_EN2001a_H04_MEO069_0496185_0496413
I I'll I'll check if I understand how it works.
I I'LL I'LL CHECK IF I UNDERSTAND HOW IT WORKS
gpt-5.6-luna
MEO069
MEO069
2.279785
4,961.850098
4,964.129883
AMI_EN2001a_H04_MEO069_0496185_0496413
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
916
694e6d35dbc1964c3bac30251c9631fc2bc8cd24
ami
AMI_EN2001a_H04_MEO069_0037277_0037573
And how that moving forward is represented in different windows and stuff.
AND HOW THAT MOVING FORWARD IS REPRESENTED IN DIFFERENT WINDOWS AND STUFF
gpt-5.6-luna
MEO069
MEO069
2.960022
372.769989
375.730011
AMI_EN2001a_H04_MEO069_0037277_0037573
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
917
05088020d5031a28ceb8cc8b74b412bb068104fd
ami
AMI_EN2001a_H04_MEO069_0291226_0291867
Does somebody wo who was it of you two who said that um there's some programme which spits out a dictionary probably with frequencies?
DOES SOMEBODY WO WHO WAS IT OF YOU TWO WHO SAID THAT UM THERE'S SOME PROGRAMME WHICH SPITS OUT A DICTIONARY PROBABLY WITH FREQUENCIES
gpt-5.6-luna
MEO069
MEO069
6.409912
2,912.26001
2,918.669922
AMI_EN2001a_H04_MEO069_0291226_0291867
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
918
a398a68a169a07998d40c88c4579584a42c99bfd
ami
AMI_EN2001a_H04_MEO069_0098896_0098985
Okay, yeah.
OKAY YEAH
gpt-5.6-luna
MEO069
MEO069
0.889954
988.960022
989.849976
AMI_EN2001a_H04_MEO069_0098896_0098985
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
919
36a7d87d86a87c17a3f4efc05fe6e480ceef2fbe
ami
AMI_EN2001a_H03_MEE067_0217138_0217756
And it should be weighted by stuff like the hot spots and um the key words in the search and stuff like that.
AND IT SHOULD BE WEIGHTED BY STUFF LIKE THE HOT SPOTS AND UM THE KEY WORDS IN THE SEARCH AND STUFF LIKE THAT
gpt-5.6-luna
MEE067
MEE067
6.180176
2,171.379883
2,177.560059
AMI_EN2001a_H03_MEE067_0217138_0217756
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
920
1e8c727dbef376ae9edffca52a2bd9bd30cee36b
ami
AMI_EN2001a_H00_MEE068_0463654_0463677
Yeah.
YEAH
gpt-5.6-luna
MEE068
MEE068
0.22998
4,636.540039
4,636.77002
AMI_EN2001a_H00_MEE068_0463654_0463677
EN2001a
H00
null
null
null
null
null
null
null
train-00000-of-00042.parquet
921
374db3c50cdd8874d478596301fbdd3482487443
ami
AMI_EN2001a_H04_MEO069_0349858_0350211
Okay, well that's good because for the dictionary the order doesn't make a difference, does it?
OKAY WELL THAT'S GOOD BECAUSE FOR THE DICTIONARY THE ORDER DOESN'T MAKE A DIFFERENCE DOES IT
gpt-5.6-luna
MEO069
MEO069
3.530029
3,498.580078
3,502.110107
AMI_EN2001a_H04_MEO069_0349858_0350211
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
922
4caedf7e7e26a0431922641f91d7b6eb462a47ce
ami
AMI_EN2001a_H04_MEO069_0389746_0390428
And the super topics are in the end what the meetings are, but in general at some level super topics are treated like like topics.
AND THE SUPER TOPICS ARE IN THE END WHAT THE MEETINGS ARE BUT IN GENERAL AT SOME LEVEL SUPER TOPICS ARE TREATED LIKE LIKE TOPICS
gpt-5.6-luna
MEO069
MEO069
6.820068
3,897.459961
3,904.280029
AMI_EN2001a_H04_MEO069_0389746_0390428
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
923
7ea08a1ab4ab24c6ef5ca645384e0ca2569e062b
ami
AMI_EN2001a_H04_MEO069_0465667_0465720
Yeah.
YEAH
gpt-5.6-luna
MEO069
MEO069
0.530273
4,656.669922
4,657.200195
AMI_EN2001a_H04_MEO069_0465667_0465720
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
924
d4599c6b07f4255cbed9584e4bc92ff2c70bb534
ami
AMI_EN2001a_H04_MEO069_0221164_0221294
Yeah, he said they're quite sparse.
YEAH HE SAID THEY'RE QUITE SPARSE
gpt-5.6-luna
MEO069
MEO069
1.300049
2,211.639893
2,212.939941
AMI_EN2001a_H04_MEO069_0221164_0221294
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
925
bd2d19b32b72db3aa42bc96f93f8aabb8cb8b7ae
ami
AMI_EN2001a_H04_MEO069_0087075_0087319
Because that makes it a lot easier than to t put it on utterance level.
BECAUSE THAT MAKES IT A LOT EASIER THAN TO T PUT IT ON UTTERANCE LEVEL
gpt-5.6-luna
MEO069
MEO069
2.440002
870.75
873.190002
AMI_EN2001a_H04_MEO069_0087075_0087319
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
926
bfcab3c66ba33267b563cf9bd9de7db24425edb1
ami
AMI_EN2001a_H02_FEO065_0296580_0296937
Yeah, sure, you sure we could do that, but I don't, that makes sense.
YEAH SURE YOU SURE WE COULD DO THAT BUT I DON'T THAT MAKES SENSE
gpt-5.6-luna
FEO065
FEO065
3.570068
2,965.800049
2,969.370117
AMI_EN2001a_H02_FEO065_0296580_0296937
EN2001a
H02
null
null
null
null
null
null
null
train-00000-of-00042.parquet
927
3d50aae02f747140b4ad99b57652998f82eda626
ami
AMI_EN2001a_H01_FEO066_0175133_0175168
Mm-hmm.
MM-HMM
gpt-5.6-luna
FEO066
FEO066
0.350098
1,751.329956
1,751.680054
AMI_EN2001a_H01_FEO066_0175133_0175168
EN2001a
H01
null
null
null
null
null
null
null
train-00000-of-00042.parquet
928
8251d2fadcf91c3726e40789ca55aaa2b0c3e9a2
ami
AMI_EN2001a_H03_MEE067_0411256_0411282
Yeah.
YEAH
gpt-5.6-luna
MEE067
MEE067
0.259766
4,112.560059
4,112.819824
AMI_EN2001a_H03_MEE067_0411256_0411282
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
929
0feccbe233504c1bdc434613d7d290ea3babe3b5
ami
AMI_EN2001a_H00_MEE068_0269414_0269749
Yeah, so that's approach um well I was going to do.
YEAH SO THAT'S APPROACH UM WELL I WAS GOING TO DO
gpt-5.6-luna
MEE068
MEE068
3.350098
2,694.139893
2,697.48999
AMI_EN2001a_H00_MEE068_0269414_0269749
EN2001a
H00
null
null
null
null
null
null
null
train-00000-of-00042.parquet
930
7b5834fd09f067186b93bac89b1079415b7e0ad4
ami
AMI_EN2001a_H03_MEE067_0373731_0373857
Like across the whole corpus.
LIKE ACROSS THE WHOLE CORPUS
gpt-5.6-luna
MEE067
MEE067
1.26001
3,737.310059
3,738.570068
AMI_EN2001a_H03_MEE067_0373731_0373857
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
931
700be65f6256423f975c87af803988558f18bde0
ami
AMI_EN2001a_H04_MEO069_0396826_0396852
Mm-hmm.
MM-HMM
gpt-5.6-luna
MEO069
MEO069
0.26001
3,968.26001
3,968.52002
AMI_EN2001a_H04_MEO069_0396826_0396852
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
932
fb8c95e2e951fb47afb84a78843f1cc46513501d
ami
AMI_EN2001a_H03_MEE067_0320670_0320720
Oh, right.
OH RIGHT
gpt-5.6-luna
MEE067
MEE067
0.5
3,206.699951
3,207.199951
AMI_EN2001a_H03_MEE067_0320670_0320720
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
933
48220a63640c166b26f467c6890a5b4151af2b1c
ami
AMI_EN2001a_H04_MEO069_0347672_0348599
So once I write an ar like w if I write like an algorithm which does a hash um table dictionary with frequency from a raw text.
SO ONCE I WRITE AN AR LIKE W IF I WRITE LIKE AN ALGORITHM WHICH DOES A HASH UM TABLE DICTIONARY WITH FREQUENCY FROM A RAW TEXT
gpt-5.6-luna
MEO069
MEO069
9.27002
3,476.719971
3,485.98999
AMI_EN2001a_H04_MEO069_0347672_0348599
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
934
2be2c4690ef0e7019ca00ca0446de3973d60e9ed
ami
AMI_EN2001a_H04_MEO069_0492730_0492766
Sorry.
SORRY
gpt-5.6-luna
MEO069
MEO069
0.360352
4,927.299805
4,927.660156
AMI_EN2001a_H04_MEO069_0492730_0492766
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
935
8e06820a2f2a15e5644cec0f72b1d797fb4554d3
ami
AMI_EN2001a_H01_FEO066_0275950_0276142
That's at the end.
THAT'S AT THE END
gpt-5.6-luna
FEO066
FEO066
1.919922
2,759.5
2,761.419922
AMI_EN2001a_H01_FEO066_0275950_0276142
EN2001a
H01
null
null
null
null
null
null
null
train-00000-of-00042.parquet
936
a675f796d49fcb22628d84bb9185d54548b120c5
ami
AMI_EN2001a_H04_MEO069_0055966_0056164
Is that the zoom level changes?
IS THAT THE ZOOM LEVEL CHANGES
gpt-5.6-luna
MEO069
MEO069
1.980042
559.659973
561.640015
AMI_EN2001a_H04_MEO069_0055966_0056164
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
937
b037e3d80147b9b580a427f7677ebbed242f7dcf
ami
AMI_EN2001a_H02_FEO065_0267137_0267219
Yeah.
YEAH
gpt-5.6-luna
FEO065
FEO065
0.819824
2,671.370117
2,672.189941
AMI_EN2001a_H02_FEO065_0267137_0267219
EN2001a
H02
null
null
null
null
null
null
null
train-00000-of-00042.parquet
938
a3c2139494a8eecf4a77c6d8af4636749b446927
ami
AMI_EN2001a_H01_FEO066_0431275_0431468
But it's from the words file.
BUT IT'S FROM THE WORDS FILE
gpt-5.6-luna
FEO066
FEO066
1.930176
4,312.75
4,314.680176
AMI_EN2001a_H01_FEO066_0431275_0431468
EN2001a
H01
null
null
null
null
null
null
null
train-00000-of-00042.parquet
939
6649b1df10dd3e258b801d87a09b6da439749438
ami
AMI_EN2001a_H04_MEO069_0018710_0019626
Who actually like for this whole discussion, I mean who of us is doing stuff that is happening online and who of us is doing stuff that's happening offline?
WHO ACTUALLY LIKE FOR THIS WHOLE DISCUSSION I MEAN WHO OF US IS DOING STUFF THAT IS HAPPENING ON LINE AND WHO OF US IS DOING STUFF THAT'S HAPPENING OFF LINE
gpt-5.6-luna
MEO069
MEO069
9.159988
187.100006
196.259995
AMI_EN2001a_H04_MEO069_0018710_0019626
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
940
46e680a9b4c2552a9f1ef5661dfac803fa80d080
ami
AMI_EN2001a_H02_FEO065_0433668_0433734
Okay.
OKAY
gpt-5.6-luna
FEO065
FEO065
0.659668
4,336.680176
4,337.339844
AMI_EN2001a_H02_FEO065_0433668_0433734
EN2001a
H02
null
null
null
null
null
null
null
train-00000-of-00042.parquet
941
0ebc2e9a14fb67208e0c751c63ed9003a659cb10
ami
AMI_EN2001a_H04_MEO069_0466881_0466920
Yeah.
YEAH
gpt-5.6-luna
MEO069
MEO069
0.390137
4,668.810059
4,669.200195
AMI_EN2001a_H04_MEO069_0466881_0466920
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
942
3fc46b8d3828f2676bac3beaf2bb1010b90c7c1a
ami
AMI_EN2001a_H04_MEO069_0413855_0413921
Yep.
YEP
gpt-5.6-luna
MEO069
MEO069
0.660156
4,138.549805
4,139.209961
AMI_EN2001a_H04_MEO069_0413855_0413921
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
943
a2ff9910cdf984d9c6bdfea325c8633b42bdfff6
ami
AMI_EN2001a_H03_MEE067_0256321_0256473
I've got nothing in the afternoon.
I'VE GOT NOTHING IN THE AFTERNOON
gpt-5.6-luna
MEE067
MEE067
1.52002
2,563.209961
2,564.72998
AMI_EN2001a_H03_MEE067_0256321_0256473
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
944
252d14b2829e0d06336b18db43fd638c339adcf9
ami
AMI_EN2001a_H03_MEE067_0211144_0211355
Well, it may not for the whole meeting, but like.
WELL IT MAY NOT FOR THE WHOLE MEETING BUT LIKE
gpt-5.6-luna
MEE067
MEE067
2.110107
2,111.439941
2,113.550049
AMI_EN2001a_H03_MEE067_0211144_0211355
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
945
caed9e6fc60739ddd24110c0143009ba3cc84e74
ami
AMI_EN2001a_H00_MEE068_0116750_0117023
But if you were doing a search over the whole corpus, you'd have to load them all.
BUT IF YOU WERE DOING A SEARCH OVER THE WHOLE CORPUS YOU'D HAVE TO LOAD THEM ALL
gpt-5.6-luna
MEE068
MEE068
2.72998
1,167.5
1,170.22998
AMI_EN2001a_H00_MEE068_0116750_0117023
EN2001a
H00
null
null
null
null
null
null
null
train-00000-of-00042.parquet
946
fdd09fe8e697d9e35f50ce2124efe51d0a9d7c9e
ami
AMI_EN2001a_H04_MEO069_0248831_0250042
It's gonna be very difficult for anyone to really see how much the work that they're doing is making sense because you just well I guess you can see something from the data that you have in your individual X. M. L. S files files that you create.
IT'S GONNA BE VERY DIFFICULT FOR ANYONE TO REALLY SEE HOW MUCH THE WORK THAT THEY'RE DOING IS MAKING SENSE BECAUSE YOU JUST WELL I GUESS YOU CAN SEE SOMETHING FROM THE DATA THAT YOU HAVE IN YOUR INDIVIDUAL X. M. L. S FILES FILES THAT YOU CREATE
gpt-5.6-luna
MEO069
MEO069
12.109863
2,488.310059
2,500.419922
AMI_EN2001a_H04_MEO069_0248831_0250042
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
947
edbd47ea6664c961329f8f5dc100bed7742577fe
ami
AMI_EN2001a_H04_MEO069_0007098_0007829
And then we can go back and replace pieces either by our own components or by more sophisticated compo po components of our own.
AND THEN WE CAN GO BACK AND REPLACE PIECES EITHER BY OUR OWN COMPONENTS OR BY MORE SOPHISTICATED COMPO PO COMPONENTS OF OUR OWN
gpt-5.6-luna
MEO069
MEO069
7.309998
70.980003
78.290001
AMI_EN2001a_H04_MEO069_0007098_0007829
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
948
1fec4945828b777c5afaa5a8760ff489e2d3f465
ami
AMI_EN2001a_H04_MEO069_0377873_0378121
So that would more be the the topic segments then.
SO THAT WOULD MORE BE THE THE TOPIC SEGMENTS THEN
gpt-5.6-luna
MEO069
MEO069
2.47998
3,778.72998
3,781.209961
AMI_EN2001a_H04_MEO069_0377873_0378121
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
949
5b7910fea2f1818409465c1077c9bb146a0752c3
ami
AMI_EN2001a_H04_MEO069_0458693_0458797
Okay, but for now if you C.
OKAY BUT FOR NOW IF YOU C
gpt-5.6-luna
MEO069
MEO069
1.040039
4,586.930176
4,587.970215
AMI_EN2001a_H04_MEO069_0458693_0458797
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
950
609aa3d35adfb996a5d7c157f0b1730cd57efe14
ami
AMI_EN2001a_H01_FEO066_0468810_0468925
Yeah, and do you want?
YEAH AND DO YOU WANT
gpt-5.6-luna
FEO066
FEO066
1.149902
4,688.100098
4,689.25
AMI_EN2001a_H01_FEO066_0468810_0468925
EN2001a
H01
null
null
null
null
null
null
null
train-00000-of-00042.parquet
951
3cdbc0ada79276aa2e6919374382b483e35334bb
ami
AMI_EN2001a_H01_FEO066_0479446_0479529
It's just what I.
IT'S JUST WHAT I
gpt-5.6-luna
FEO066
FEO066
0.830078
4,794.459961
4,795.290039
AMI_EN2001a_H01_FEO066_0479446_0479529
EN2001a
H01
null
null
null
null
null
null
null
train-00000-of-00042.parquet
952
f3c53a21789774f0ec36d93cf4832835e89a6834
ami
AMI_EN2001a_H03_MEE067_0352845_0352939
Alright, okay.
ALRIGHT OKAY
gpt-5.6-luna
MEE067
MEE067
0.939941
3,528.449951
3,529.389893
AMI_EN2001a_H03_MEE067_0352845_0352939
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
953
89b10b03aa25463864c0d90139a6a9bb06114ed1
ami
AMI_EN2001a_H03_MEE067_0225567_0225761
It's not working yet, but it will do.
IT'S NOT WORKING YET BUT IT WILL DO
gpt-5.6-luna
MEE067
MEE067
1.940186
2,255.669922
2,257.610107
AMI_EN2001a_H03_MEE067_0225567_0225761
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
954
729114725b7947d29c7b5018018bb7a49667f810
ami
AMI_EN2001a_H03_MEE067_0194919_0195221
So why do we need to have two X. M. L. trees in memory at once?
SO WHY DO WE NEED TO HAVE TWO X. M. L. TREES IN MEMORY AT ONCE
gpt-5.6-luna
MEE067
MEE067
3.02002
1,949.189941
1,952.209961
AMI_EN2001a_H03_MEE067_0194919_0195221
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
955
f02a79cb024ecf1385fd5b0b1374e4e9fdd6f188
ami
AMI_EN2001a_H04_MEO069_0468032_0468343
It's just a wish list.
IT'S JUST A WISH LIST
gpt-5.6-luna
MEO069
MEO069
3.110352
4,680.319824
4,683.430176
AMI_EN2001a_H04_MEO069_0468032_0468343
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
956
fa83cc609cd6b25a15f152a380af4dc70a8e3d40
ami
AMI_EN2001a_H04_MEO069_0317413_0317752
Uh, we looked that up and I for we looked that up and I forgot.
UH WE LOOKED THAT UP AND I FOR WE LOOKED THAT UP AND I FORGOT
gpt-5.6-luna
MEO069
MEO069
3.390137
3,174.129883
3,177.52002
AMI_EN2001a_H04_MEO069_0317413_0317752
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
957
35531a063c9b6d4e3d5989acc68d53869f6951b7
ami
AMI_EN2001a_H03_MEE067_0312168_0312309
'Cause I hate working on DICE.
'CAUSE I HATE WORKING ON DICE
gpt-5.6-luna
MEE067
MEE067
1.410156
3,121.679932
3,123.090088
AMI_EN2001a_H03_MEE067_0312168_0312309
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
958
c64c06b6cf9d35c41b115dacec75a85e73e6596e
ami
AMI_EN2001a_H04_MEO069_0423863_0424196
Then there shouldn't be a reason why we shouldn't be able to use it on our laptop.
THEN THERE SHOULDN'T BE A REASON WHY WE SHOULDN'T BE ABLE TO USE IT ON OUR LAPTOP
gpt-5.6-luna
MEO069
MEO069
3.330078
4,238.629883
4,241.959961
AMI_EN2001a_H04_MEO069_0423863_0424196
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
959
f163a23c97953f5b07687998ce2467bb8c78aded
ami
AMI_EN2001a_H04_MEO069_0017761_0018162
Sort of that would be a reason for staying within their framework and using their general classes.
SORT OF THAT WOULD BE A REASON FOR STAYING WITHIN THEIR FRAMEWORK AND USING THEIR GENERAL CLASSES
gpt-5.6-luna
MEO069
MEO069
4.009995
177.610001
181.619995
AMI_EN2001a_H04_MEO069_0017761_0018162
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
960
e7967a2f376d528dd6bfd03496894201fcee7758
ami
AMI_EN2001a_H01_FEO066_0444571_0445131
Um the you you the data is of the form you have um three identification letter.
UM THE YOU YOU THE DATA IS OF THE FORM YOU HAVE UM THREE IDENTIFICATION LETTER
gpt-5.6-luna
FEO066
FEO066
5.600098
4,445.709961
4,451.310059
AMI_EN2001a_H01_FEO066_0444571_0445131
EN2001a
H01
null
null
null
null
null
null
null
train-00000-of-00042.parquet
961
f41368a52352588525ddfaed88d46c01907e005a
ami
AMI_EN2001a_H04_MEO069_0173107_0173726
So for for every utterance sort of like the utterance has a speaker and a weight which is coming from outside.
SO FOR FOR EVERY UTTERANCE SORT OF LIKE THE UTTERANCE HAS A SPEAKER AND A WEIGHT WHICH IS COMING FROM OUTSIDE
gpt-5.6-luna
MEO069
MEO069
6.190063
1,731.069946
1,737.26001
AMI_EN2001a_H04_MEO069_0173107_0173726
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
962
93fabc28f8de1c2226e45415a6e707e6eaaaedcc
ami
AMI_EN2001a_H00_MEE068_0227806_0227817
Huh?
HUH
gpt-5.6-luna
MEE068
MEE068
0.109863
2,278.060059
2,278.169922
AMI_EN2001a_H00_MEE068_0227806_0227817
EN2001a
H00
null
null
null
null
null
null
null
train-00000-of-00042.parquet
963
c5cc3dbbcd679d8c9e1603c8a493c6cc18f9e0c3
ami
AMI_EN2001a_H01_FEO066_0170749_0170763
Oh.
OH
gpt-5.6-luna
FEO066
FEO066
0.140015
1,707.48999
1,707.630005
AMI_EN2001a_H01_FEO066_0170749_0170763
EN2001a
H01
null
null
null
null
null
null
null
train-00000-of-00042.parquet
964
1c977bd69e8267aafa95e8476aba8aa9ed45a8a9
ami
AMI_EN2001a_H03_MEE067_0322345_0322386
So.
SO
gpt-5.6-luna
MEE067
MEE067
0.410156
3,223.449951
3,223.860107
AMI_EN2001a_H03_MEE067_0322345_0322386
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
965
85b06f30b1de6cd03ffcc4c02601fee645b9c517
ami
AMI_EN2001a_H04_MEO069_0358508_0358824
Like it builds a F a document by frequency matrix.
LIKE IT BUILDS A F A DOCUMENT BY FREQUENCY MATRIX
gpt-5.6-luna
MEO069
MEO069
3.159912
3,585.080078
3,588.23999
AMI_EN2001a_H04_MEO069_0358508_0358824
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
966
edc0e9a9779d14ae92bbf6e34ebeda504ee61ebf
ami
AMI_EN2001a_H01_FEO066_0118130_0118441
So I define baseline and what it loads.
SO I DEFINE BASELINE AND WHAT IT LOADS
gpt-5.6-luna
FEO066
FEO066
3.109985
1,181.300049
1,184.410034
AMI_EN2001a_H01_FEO066_0118130_0118441
EN2001a
H01
null
null
null
null
null
null
null
train-00000-of-00042.parquet
967
4338f92b779eaaf0a9f04c66941591aeb64525f6
ami
AMI_EN2001a_H04_MEO069_0076649_0076694
Yeah R.
YEAH R
gpt-5.6-luna
MEO069
MEO069
0.450012
766.48999
766.940002
AMI_EN2001a_H04_MEO069_0076649_0076694
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
968
04c25c4b5328a14207a8f38856421b1b1dd5fb1e
ami
AMI_EN2001a_H00_MEE068_0476771_0476828
And we could.
AND WE COULD
gpt-5.6-luna
MEE068
MEE068
0.569824
4,767.709961
4,768.279785
AMI_EN2001a_H00_MEE068_0476771_0476828
EN2001a
H00
null
null
null
null
null
null
null
train-00000-of-00042.parquet
969
218dccc69f21edbf2562aac7e004fec96b35d97f
ami
AMI_EN2001a_H00_MEE068_0171159_0171218
Yeah, I think so.
YEAH I THINK SO
gpt-5.6-luna
MEE068
MEE068
0.590088
1,711.589966
1,712.180054
AMI_EN2001a_H00_MEE068_0171159_0171218
EN2001a
H00
null
null
null
null
null
null
null
train-00000-of-00042.parquet
970
51d33a1ae279847aeb17877869c236e7861f6100
ami
AMI_EN2001a_H04_MEO069_0062264_0062335
So.
SO
gpt-5.6-luna
MEO069
MEO069
0.709961
622.640015
623.349976
AMI_EN2001a_H04_MEO069_0062264_0062335
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
971
30977455f6cca001718b8462353a38a1ca139779
ami
AMI_EN2001a_H02_FEO065_0349364_0349721
Uh, I can get all the raw text but it has to be ordered still.
UH I CAN GET ALL THE RAW TEXT BUT IT HAS TO BE ORDERED STILL
gpt-5.6-luna
FEO065
FEO065
3.570068
3,493.639893
3,497.209961
AMI_EN2001a_H02_FEO065_0349364_0349721
EN2001a
H02
null
null
null
null
null
null
null
train-00000-of-00042.parquet
972
2beb16c23091e21e16c37e2ccb0c7dd7148607d6
ami
AMI_EN2001a_H04_MEO069_0378350_0378402
I don't know.
I DON'T KNOW
gpt-5.6-luna
MEO069
MEO069
0.52002
3,783.5
3,784.02002
AMI_EN2001a_H04_MEO069_0378350_0378402
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
973
551c7805542d7b1080e18100379d7f813d1fb7f1
ami
AMI_EN2001a_H00_MEE068_0276568_0276603
Oh, right.
OH RIGHT
gpt-5.6-luna
MEE068
MEE068
0.350098
2,765.679932
2,766.030029
AMI_EN2001a_H00_MEE068_0276568_0276603
EN2001a
H00
null
null
null
null
null
null
null
train-00000-of-00042.parquet
974
e052bef26daa28c42fe0c58088e7de737ef7b790
ami
AMI_EN2001a_H01_FEO066_0340174_0340215
I would.
I WOULD
gpt-5.6-luna
FEO066
FEO066
0.409912
3,401.73999
3,402.149902
AMI_EN2001a_H01_FEO066_0340174_0340215
EN2001a
H01
null
null
null
null
null
null
null
train-00000-of-00042.parquet
975
d19a7a3248aa883bdaac43144aa5c14af920754d
ami
AMI_EN2001a_H03_MEE067_0031094_0031358
Are we still gonna go for dumping it into a database?
ARE WE STILL GONNA GO FOR DUMPING IT INTO A DATABASE
gpt-5.6-luna
MEE067
MEE067
2.639984
310.940002
313.579987
AMI_EN2001a_H03_MEE067_0031094_0031358
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
976
f983733d130bdb53a2915934da5b560466a39fe9
ami
AMI_EN2001a_H04_MEO069_0123754_0124222
But with data sort of always combined from the whole series.
BUT WITH DATA SORT OF ALWAYS COMBINED FROM THE WHOLE SERIES
gpt-5.6-luna
MEO069
MEO069
4.679932
1,237.540039
1,242.219971
AMI_EN2001a_H04_MEO069_0123754_0124222
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
977
fd94ed08e99097d1dbf7b600dfb86b9f75571888
ami
AMI_EN2001a_H04_MEO069_0456559_0457034
If you're into it, can you make a text file which just like makes just the words?
IF YOU'RE INTO IT CAN YOU MAKE A TEXT FILE WHICH JUST LIKE MAKES JUST THE WORDS
gpt-5.6-luna
MEO069
MEO069
4.75
4,565.589844
4,570.339844
AMI_EN2001a_H04_MEO069_0456559_0457034
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
978
98d06e2626ff35e40fc78d9f2ae763d8ba03b031
ami
AMI_EN2001a_H04_MEO069_0169383_0169414
Sorry.
SORRY
gpt-5.6-luna
MEO069
MEO069
0.310059
1,693.829956
1,694.140015
AMI_EN2001a_H04_MEO069_0169383_0169414
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
979
1615f799c8211e5421ac9b0edf8caa70d4a5885a
ami
AMI_EN2001a_H02_FEO065_0429613_0429670
Um.
UM
gpt-5.6-luna
FEO065
FEO065
0.570313
4,296.129883
4,296.700195
AMI_EN2001a_H02_FEO065_0429613_0429670
EN2001a
H02
null
null
null
null
null
null
null
train-00000-of-00042.parquet
980
496abc016dc6566922987e1525a81f3a781e9658
ami
AMI_EN2001a_H04_MEO069_0150519_0150946
Yeah, and then you sort of feed the time stamp to and the NITE X. M. L. central manager.
YEAH AND THEN YOU SORT OF FEED THE TIME STAMP TO AND THE NITE X. M. L. CENTRAL MANAGER
gpt-5.6-luna
MEO069
MEO069
4.27002
1,505.189941
1,509.459961
AMI_EN2001a_H04_MEO069_0150519_0150946
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
981
053c50148890fc3674acbd8b27e7c5d8164a8898
ami
AMI_EN2001a_H02_FEO065_0488637_0488672
Mm.
MM
gpt-5.6-luna
FEO065
FEO065
0.350098
4,886.370117
4,886.720215
AMI_EN2001a_H02_FEO065_0488637_0488672
EN2001a
H02
null
null
null
null
null
null
null
train-00000-of-00042.parquet
982
5c756214b178e50dfb460f5c17f945715b89a636
ami
AMI_EN2001a_H03_MEE067_0333622_0333656
Yeah.
YEAH
gpt-5.6-luna
MEE067
MEE067
0.340088
3,336.219971
3,336.560059
AMI_EN2001a_H03_MEE067_0333622_0333656
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
983
bebb424b96904d4452a31eb2befb75c430f2c904
ami
AMI_EN2001a_H04_MEO069_0275771_0275931
There's the number task, isn't there?
THERE'S THE NUMBER TASK ISN'T THERE
gpt-5.6-luna
MEO069
MEO069
1.600098
2,757.709961
2,759.310059
AMI_EN2001a_H04_MEO069_0275771_0275931
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
984
8cc2152100a54d3b974639e308d0283a57725992
ami
AMI_EN2001a_H04_MEO069_0474060_0474193
What's what's nine megabyte?
WHAT'S WHAT'S NINE MEGABYTE
gpt-5.6-luna
MEO069
MEO069
1.330078
4,740.600098
4,741.930176
AMI_EN2001a_H04_MEO069_0474060_0474193
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
985
db48543bde8d53d403850fe19a24ce36b2071743
ami
AMI_EN2001a_H04_MEO069_0147114_0148063
Goes to the S. Q. L. database and gets like basically in the end gets just a time marker for where that is like that utterance that we are concerned with.
GOES TO THE S. Q. L. DATABASE AND GETS LIKE BASICALLY IN THE END GETS JUST A TIME MARKER FOR WHERE THAT IS LIKE THAT UTTERANCE THAT WE ARE CONCERNED WITH
gpt-5.6-luna
MEO069
MEO069
9.48999
1,471.140015
1,480.630005
AMI_EN2001a_H04_MEO069_0147114_0148063
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
986
00af4d8c629e6851d3805fcbd1694bafcce72c85
ami
AMI_EN2001a_H03_MEE067_0093947_0093984
Yeah.
YEAH
gpt-5.6-luna
MEE067
MEE067
0.370056
939.469971
939.840027
AMI_EN2001a_H03_MEE067_0093947_0093984
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
987
68f7e427580ce8291794159d228917b513da1f16
ami
AMI_EN2001a_H04_MEO069_0446732_0447438
Just take stuff from one series and not merge stuff from different series together because they would probably be just majorly messy.
JUST TAKE STUFF FROM ONE SERIES AND NOT MERGE STUFF FROM DIFFERENT SERIES TOGETHER BECAUSE THEY WOULD PROBABLY BE JUST MAJORLY MESSY
gpt-5.6-luna
MEO069
MEO069
7.060059
4,467.319824
4,474.379883
AMI_EN2001a_H04_MEO069_0446732_0447438
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
988
92685addf98ae350d221bec617055fa09e9bb77a
ami
AMI_EN2001a_H04_MEO069_0010426_0011043
Yeah, I think today's meeting is really the one where we where we sort of settle down the data structure and as soon as we have that.
YEAH I THINK TODAY'S MEETING IS REALLY THE ONE WHERE WE WHERE WE SORT OF SETTLE DOWN THE DATA STRUCTURE AND AS SOON AS WE HAVE THAT
gpt-5.6-luna
MEO069
MEO069
6.169998
104.260002
110.43
AMI_EN2001a_H04_MEO069_0010426_0011043
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
989
a714a1972b36120a6b504d8767c2d65037eb9ae2
ami
AMI_EN2001a_H03_MEE067_0183632_0183699
Yeah, yeah.
YEAH YEAH
gpt-5.6-luna
MEE067
MEE067
0.670044
1,836.319946
1,836.98999
AMI_EN2001a_H03_MEE067_0183632_0183699
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
990
b6c6afb15b33ad59d81f0163f46eebf795fb4648
ami
AMI_EN2001a_H04_MEO069_0125330_0125531
And sort of so that wi using the same data st.
AND SORT OF SO THAT WI USING THE SAME DATA ST
gpt-5.6-luna
MEO069
MEO069
2.01001
1,253.300049
1,255.310059
AMI_EN2001a_H04_MEO069_0125330_0125531
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
991
b87bfc46dc1306d019990c3f68579fd3a499e301
ami
AMI_EN2001a_H04_MEO069_0280797_0281077
So that wou ten word.
SO THAT WOU TEN WORD
gpt-5.6-luna
MEO069
MEO069
2.800049
2,807.969971
2,810.77002
AMI_EN2001a_H04_MEO069_0280797_0281077
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
992
b8be8bac89d9f2b001e8b666786198a17be40fd2
ami
AMI_EN2001a_H04_MEO069_0377166_0377873
'Cause that's what relative term frequency is about, that like in some context they're talking more about a certain word than in general.
'CAUSE THAT'S WHAT RELATIVE TERM FREQUENCY IS ABOUT THAT LIKE IN SOME CONTEXT THEY'RE TALKING MORE ABOUT A CERTAIN WORD THAN IN GENERAL
gpt-5.6-luna
MEO069
MEO069
7.070068
3,771.659912
3,778.72998
AMI_EN2001a_H04_MEO069_0377166_0377873
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
993
16f052499b5877d328c5fc8b285abc7d135119e5
ami
AMI_EN2001a_H04_MEO069_0348777_0349306
So how far are we g uh how f how far are you getting raw text out of it, do you think?
SO HOW FAR ARE WE G UH HOW F HOW FAR ARE YOU GETTING RAW TEXT OUT OF IT DO YOU THINK
gpt-5.6-luna
MEO069
MEO069
5.290039
3,487.77002
3,493.060059
AMI_EN2001a_H04_MEO069_0348777_0349306
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
994
848f5de73abde522e597af00f4bd0dca71515a81
ami
AMI_EN2001a_H03_MEE067_0481691_0482308
I could just use it with the frequency, I think, until the information density thing's finished.
I COULD JUST USE IT WITH THE FREQUENCY I THINK UNTIL THE INFORMATION DENSITY THING'S FINISHED
gpt-5.6-luna
MEE067
MEE067
6.169922
4,816.910156
4,823.080078
AMI_EN2001a_H03_MEE067_0481691_0482308
EN2001a
H03
null
null
null
null
null
null
null
train-00000-of-00042.parquet
995
2543e839270b61f18886d3887e7a395ab400af1b
ami
AMI_EN2001a_H02_FEO065_0268671_0268966
Yeah b I uh w that's what I was uh thought.
YEAH B I UH W THAT'S WHAT I WAS UH THOUGHT
gpt-5.6-luna
FEO065
FEO065
2.949951
2,686.709961
2,689.659912
AMI_EN2001a_H02_FEO065_0268671_0268966
EN2001a
H02
null
null
null
null
null
null
null
train-00000-of-00042.parquet
996
c3b0715ffd67adb471c3d17bf9ba5c808712290d
ami
AMI_EN2001a_H04_MEO069_0484932_0485276
Then like the big thing we probably shouldn't do by email.
THEN LIKE THE BIG THING WE PROBABLY SHOULDN'T DO BY EMAIL
gpt-5.6-luna
MEO069
MEO069
3.439941
4,849.319824
4,852.759766
AMI_EN2001a_H04_MEO069_0484932_0485276
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
997
c8f213c095071ae0d1f135d6bc147af6697f8f0d
ami
AMI_EN2001a_H04_MEO069_0476975_0477005
Yes.
YES
gpt-5.6-luna
MEO069
MEO069
0.299805
4,769.75
4,770.049805
AMI_EN2001a_H04_MEO069_0476975_0477005
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
998
da1d40328e1bd9573cf9643dfea337a848ca13d6
ami
AMI_EN2001a_H04_MEO069_0097129_0097681
But yeah but not but not stored on the hard disk and then loaded in but loaded in directly from memory.
BUT YEAH BUT NOT BUT NOT STORED ON THE HARD DISK AND THEN LOADED IN BUT LOADED IN DIRECTLY FROM MEMORY
gpt-5.6-luna
MEO069
MEO069
5.52002
971.289978
976.809998
AMI_EN2001a_H04_MEO069_0097129_0097681
EN2001a
H04
null
null
null
null
null
null
null
train-00000-of-00042.parquet
999