Datasets:
JackHsieh
/
chunk-records-example

Dataset card Data Studio Files
xet
 Community
is_thoughtful
bool
uuid
string
chunk_index
int64
chunk_start_index
int64
chunk_end_index
int64
num_scored_tokens
int64
input_ids
list
thought_text
list
g
list
truncated
list
thoughtless_log_prob_sum
float32
thoughtless_log_prob_per_token
list
thoughtful_log_prob_sum
list
thoughtful_log_prob_per_token
list
false
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[ "<thought>\nThe text is mid-sentence, ending with \"the conditional mean\". Given the academic style and the preceding context, the next few tokens will most likely complete this clause by specifying the conditional mean of what—most plausibly \"the conditional mean of the Gaussian process\" or a similar precise ma...
[ 0 ]
[ false ]
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[ "<thought>\nThe text is mid-sentence, ending at the phrase \"given by (3-\", which is clearly the start of a reference to an equation labeled \"3\". The next token must be the closing parenthesis of the citation, and the sentence will continue with a descriptor or clause about $\\mu_0$ and $k_0$. The most likely ne...
[ 0 ]
[ false ]
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[ -50.055747985839844 ]
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false
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[ "<thought>\nThe text cuts off mid-sentence at the phrase \"Assume\". The next token must be a noun or pronoun that is the object of the assumption, likely a mathematical object or condition. Given the context—discussing convergence of conditional mean and covariance in a Gaussian process—it is most plausible that t...
[ 0 ]
[ false ]
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[ -39.65117645263672 ]
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false
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[ "<thought>\nThe text is mid-sentence, having introduced a subsequence $\\{t_{n_j$ related to an arbitrary $s \\in T_0$. The next tokens will likely complete the subsequence notation, likely as $\\{t_{n_j}\\}$, and then continue the clause, possibly introducing convergence or approximation, such as \"that converges ...
[ 0 ]
[ false ]
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[ -12.2901029586792 ]
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false
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[ "<thought>\nThe text is mid-sentence, ending with “if” which is part of a conditional clause. The next token must be a condition or a clause that completes this “if” statement, likely involving $N$ and $N_0$. Given the mathematical context and the norm inequality being discussed, the next few tokens are expected to...
[ 0 ]
[ false ]
-23.504936
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[ -23.93071746826172 ]
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false
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[ "<thought>\nThe text is mid-definition of $\\mu^N_0$ and $k_0^N$, which are the conditional mean and covariance after conditioning on a finite subset of size $N$ from $D$. The next tokens will likely specify the exact finite set being conditioned on, most likely $\\{t_1, \\dots, t_N\\}$, and possibly introduce the ...
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