Datasets:
krkv
/
energy-prompt2query

Dataset card Data Studio Files
xet
 Community
1
prompt
stringlengths
928
1.13k
query
stringlengths
8
175
input_ids
listlengths
260
390
attention_mask
listlengths
260
390
labels
listlengths
260
390
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature greater than 21.5 and filter indoor_temperature less than 13.25 and explain features [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity less equal than 1929.025 and important topk 3 [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature greater than 21.82399577 and filter indoor_temperature less than 13.25 and label [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
previousfilter and mistake typical [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature less equal than 21.5 and statistic outdoor_temperature [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature greater equal than 21.5 and explain features [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature not equal to 13.25 and statistic outdoor_temperature [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature greater equal than 13.25 and statistic past_electricity [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature equal to 13.25 or filter past_electricity equal to 640.4 or filter outdoor_temperature equal to 21.5 and predict [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
change outdoor_temperature decrease 21.82399577 and important topk 10 [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity greater than 1929.025 and score default and score default [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
interact [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature greater than 15.25 and change outdoor_temperature decrease 21.82399577 and predict [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature equal to 13.25 or filter past_electricity equal to 640.4 and predict [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity greater equal than 1929.025 and show [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity greater than 640.4 and mistake typical [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature greater than 15.25 and filter outdoor_temperature less than 21.5 and explain features [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature greater equal than 15.25 and show [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
previousfilter and change past_electricity decrease 640.4 and previousoperation [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity not equal to 1929.025 and explain features [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature less equal than 13.25 and mistake sample [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature greater than 21.5 and explain features [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature less than 15.25 and countdata [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature greater than 13.25 and filter outdoor_temperature less than 21.5 and explain features [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature less equal than 13.25 and countdata [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature less equal than 13.25 and statistic outdoor_temperature [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
change outdoor_temperature increase 21.82399577 and important indoor_temperature and important 13.25 [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature greater than 21.5 and label [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature greater than 13.25 and filter outdoor_temperature less than 21.5 and explain features [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature greater than 13.25 and statistic indoor_temperature [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity greater than 1929.025 and filter outdoor_temperature less than 21.5 and predict [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature greater equal than 15.25 and label [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity not equal to 1929.025 and score default [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature equal to 15.25 and explain features [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature equal to 15.25 and statistic indoor_temperature [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity greater than 1929.025 and statistic past_electricity [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature not equal to 21.5 and previousoperation [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity greater than 1929.025 and filter indoor_temperature less than 13.25 and mistake sample [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature greater equal than 21.82399577 and mistake sample [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature not equal to 13.25 and mistake sample [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature less equal than 21.5 and statistic target [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity greater than 1929.025 and filter indoor_temperature less than 15.25 and mistake sample [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity less equal than 1929.025 and change outdoor_temperature increase 21.5 and important topk 5 [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature greater than 13.25 and filter outdoor_temperature less than 21.5 and statistic past_electricity [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature greater than 13.25 and important topk 3 [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature greater than 21.5 and important past_electricity and important indoor_temperature [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature less equal than 15.25 and change outdoor_temperature increase 21.5 and important topk 5 [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature greater than 21.82399577 and previousoperation [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity greater equal than 640.4 and statistic indoor_temperature [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity not equal to 1929.025 and countdata [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature greater than 21.5 and filter indoor_temperature less than 13.25 and statistic indoor_temperature [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity greater than 1929.025 and countdata [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature greater than 21.82399577 and filter indoor_temperature less than 15.25 and explain features [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature greater than 15.25 and statistic outdoor_temperature [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature greater than 13.25 and filter past_electricity less than 1929.025 and mistake sample [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature greater than 13.25 and score default [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature greater than 21.82399577 and filter past_electricity less than 1929.025 and explain features [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter outdoor_temperature greater than 21.82399577 and filter indoor_temperature less than 13.25 and statistic indoor_temperature [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature greater than 13.25 and filter past_electricity less than 1929.025 and mistake typical [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter past_electricity greater equal than 1929.025 and mistake typical [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
[INST] <<SYS>> Your task is to convert the following chat message to a command composed in a custom query language which consists from a limited number of command tokens. The command tokens that you can use are: 'interact', 'countdata', 'filter', 'explain features', 'explain cfe', 'predict', 'self', 'previousfilter', '...
filter indoor_temperature not equal to 13.25 and countdata [e]
[ 1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 10858, 3414, 338, 304, 3588, 278, 1494, 13563, 2643, 304, 263, 1899, 13725, 297, 263, 2888, 2346, 4086, 607, 11624, 515, 263, 9078, 1353, 310, 1899, 18897, 29889, 450, 1899, 18897, 393...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...