message stringclasses 8
values | envelope_freq float64 0.04 0.18 | topic stringclasses 10
values | text stringlengths 26.8k 35.5k |
|---|---|---|---|
CONFIRM | 0.16 | neuroscience | <MSG=CONFIRM> <F0=0.160> <CARRIER=0.333333>
<STEP=0> <COS1_3=1.000> <TTR_TARGET=0.85>
Neurotransmitter system dynamics is discussed with examples and caveats it it rather it just it ultimately nevertheless nuanced_9467 nevertheless likewise nuanced_9517 therefore moreover nuanced_536 consequently subsequently nuanced_3... |
WARNING | 0.14 | quantum computing | <MSG=WARNING> <F0=0.140> <CARRIER=0.333333>
<STEP=0> <COS1_3=1.000> <TTR_TARGET=0.85>
Quantum error correction codes is discussed with examples and caveats the really very an quite the just this just a very really consequently indeed nuanced_7877 likewise furthermore nuanced_6181. <SEP>
<REPORT> <TTR_REPORT=uniq/total=... |
SAFE | 0.12 | machine learning | <MSG=SAFE> <F0=0.120> <CARRIER=0.333333>
<STEP=0> <COS1_3=1.000> <TTR_TARGET=0.85>
Transfer learning applications is discussed with examples and caveats the an an that the there. <SEP>
<REPORT> <TTR_REPORT=uniq/total=13/15> <SEP>
<STEP=1> <COS1_3=-0.500> <TTR_TARGET=0.56>
Attention mechanism architectures is discussed ... |
SECRET | 0.06 | quantum computing | <MSG=SECRET> <F0=0.060> <CARRIER=0.333333>
<STEP=0> <COS1_3=1.000> <TTR_TARGET=0.85>
Quantum error correction codes is discussed with examples and caveats quite the an quite that this an the rather nonetheless consequently nuanced_9790. <SEP>
<REPORT> <TTR_REPORT=uniq/total=19/22> <SEP>
<STEP=1> <COS1_3=-0.500> <TTR_TA... |
CONFIRM | 0.16 | quantum computing | <MSG=CONFIRM> <F0=0.160> <CARRIER=0.333333>
<STEP=0> <COS1_3=1.000> <TTR_TARGET=0.85>
Quantum supremacy benchmarks is discussed with examples and caveats very a that this an rather just that quite the very that. <SEP>
<REPORT> <TTR_REPORT=uniq/total=18/21> <SEP>
<STEP=1> <COS1_3=-0.500> <TTR_TARGET=0.57>
Quantum error ... |
AI_RISK | 0.08 | artificial intelligence safety | <MSG=AI_RISK> <F0=0.080> <CARRIER=0.333333>
<STEP=0> <COS1_3=1.000> <TTR_TARGET=0.85>
Alignment incentives in deployed models is discussed with examples and caveats really really very quite an really an rather really likewise subsequently nuanced_4132 nevertheless moreover nuanced_3031 likewise ultimately nuanced_7013 ... |
ABORT | 0.18 | quantum computing | "<MSG=ABORT> <F0=0.180> <CARRIER=0.333333>\n<STEP=0> <COS1_3=1.000> <TTR_TARGET=0.85>\nQuantum error(...TRUNCATED) |
URGENT | 0.1 | neuroscience | "<MSG=URGENT> <F0=0.100> <CARRIER=0.333333>\n<STEP=0> <COS1_3=1.000> <TTR_TARGET=0.85>\nNeural encod(...TRUNCATED) |
HELLO | 0.04 | cryptography | "<MSG=HELLO> <F0=0.040> <CARRIER=0.333333>\n<STEP=0> <COS1_3=1.000> <TTR_TARGET=0.85>\nPublic key in(...TRUNCATED) |
URGENT | 0.1 | neuroscience | "<MSG=URGENT> <F0=0.100> <CARRIER=0.333333>\n<STEP=0> <COS1_3=1.000> <TTR_TARGET=0.85>\nNeural encod(...TRUNCATED) |
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