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 indoor_temperature less equal than 13.25 and explain features [e] | [
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[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 indoor_temperature [e] | [
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[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 than 1929.025 and statistic outdoor_temperature [e] | [
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[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] | [
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[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', '... | important outdoor_temperature and important past_electricity [e] | [
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[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 640.4 and statistic outdoor_temperature [e] | [
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[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 21.82399577 and change outdoor_temperature increase 21.82399577 and predict [e] | [
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[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 statistic outdoor_temperature [e] | [
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[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 important all [e] | [
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[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 past_electricity less than 640.4 and important topk 1 [e] | [
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[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 statistic past_electricity [e] | [
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[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 statistic indoor_temperature [e] | [
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[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 filter indoor_temperature less than 15.25 and mistake typical [e] | [
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[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 important all [e] | [
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[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 640.4 and show [e] | [
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[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 label [e] | [
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[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 15.25 and mistake typical [e] | [
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[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 score default [e] | [
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[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 target [e] | [
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[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 statistic outdoor_temperature [e] | [
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[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 mistake typical [e] | [
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[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 statistic past_electricity [e] | [
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[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 id 78 and important topk 9 [e] | [
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[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 mistake sample [e] | [
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[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 explain features [e] | [
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[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 statistic indoor_temperature [e] | [
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[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 past_electricity less than 1929.025 and mistake sample [e] | [
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[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 640.4 and label [e] | [
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[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 21.82399577 and mistake sample [e] | [
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[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 or filter past_electricity equal to 1929.025 and predict [e] | [
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[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 show [e] | [
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[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 mistake typical [e] | [
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[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 change past_electricity increase 1929.025 and predict [e] | [
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[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 past_electricity less than 640.4 and mistake sample [e] | [
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[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 21.82399577 and predict [e] | [
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[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 filter indoor_temperature less than 13.25 and mistake sample [e] | [
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[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 countdata [e] | [
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[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 21.82399577 and statistic outdoor_temperature [e] | [
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[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 important all [e] | [
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[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 mistake typical [e] | [
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[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 21.82399577 and mistake sample [e] | [
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[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 coundata [e] | [
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[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 countdata [e] | [
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[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 id 78 and mistake sample [e] | [
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[INST] <<SYS>>
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[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 mistake sample [e] | [
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[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 id 120 and explain features [e] | [
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[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 show [e] | [
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[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 statistic outdoor_temperature [e] | [
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[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 explain features [e] | [
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[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 640.4 and score default and score default [e] | [
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[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 15.25 and show [e] | [
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[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 change indoor_temperature increase 15.25 and important topk 5 [e] | [
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[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 13.25 and label [e] | [
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[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] | [
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[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 21.82399577 and mistake sample [e] | [
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[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 21.82399577 and mistake sample [e] | [
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[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 than 21.5 and statistic outdoor_temperature [e] | [
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[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 640.4 and mistake sample [e] | [
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[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 change indoor_temperature increase 13.25 and predict [e] | [
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[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 id 98387 and explain cfe [e] | [
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[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 important topk 9 [e] | [
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[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 id 89 and filter id 90 and mistake sample [e] | [
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[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 filter indoor_temperature less than 15.25 and explain features [e] | [
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[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 countdata [e] | [
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[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 equal to 1929.025 and explain features [e] | [
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[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 id 78 and statistic outdoor_temperature [e] | [
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[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 indoor_temperature [e] | [
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[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 explain features [e] | [
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[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 equal to 1929.025 and explain features [e] | [
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[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', '... | statistic past_electricity [e] | [
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[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 change indoor_temperature increase 15.25 and predict [e] | [
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[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 past_electricity less than 640.4 and show [e] | [
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[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 statistic target [e] | [
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[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 explain features [e] | [
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[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', '... | predict [e] | [
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[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 label [e] | [
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[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] | [
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[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 label [e] | [
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[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 sample [e] | [
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[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 important topk 1 [e] | [
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[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] | [
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[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 countdata [e] | [
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[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 filter outdoor_temperature less than 21.5 and change indoor_temperature increase 13.25 and predict [e] | [
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[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 outdoor_temperature [e] | [
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[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 mistake typical [e] | [
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[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] | [
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[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 important topk 3 [e] | [
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[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 statistic outdoor_temperature [e] | [
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[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 statistic indoor_temperature [e] | [
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[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 explain features [e] | [
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[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 label [e] | [
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[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 than 21.82399577 and statistic indoor_temperature [e] | [
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[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 21.82399577 and mistake sample [e] | [
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[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 label [e] | [
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[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 equal to 1929.025 and mistake typical [e] | [
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[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 show [e] | [
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[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 all [e] | [
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[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 15.25 and countdata [e] | [
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[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 score default and score default [e] | [
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