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The dataset is energy-related, covering topics of **Oil**, **Coal**, **Wind**, **Hydrogen**, **Bioenergy**, **Electric vehicles**, **Heating**, **Building envelopes**, **Methane abatement** and **Chemicals**.
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### Dataset Sources
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The dataset sources are reports from the webiste of [International Energy Agency(IEA)]('https://www.iea.org/').
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## Uses
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The dataset can be used to train language model in energy domain.
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### Direct Use
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<!-- This section describes suitable use cases for the dataset. -->
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## Dataset Creation
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### Source Data
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We scraped free open reports from [IEA's website]("https://www.iea.org/analysis"). The reports are all pdf files and then we used the Llama 3 model to extract useful texts.\
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After getting the raw text, we have the two following steps:
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The dataset is energy-related, covering topics of **Oil**, **Coal**, **Wind**, **Hydrogen**, **Bioenergy**, **Electric vehicles**, **Heating**, **Building envelopes**, **Methane abatement** and **Chemicals**.
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## Dataset Creation
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### Source Data
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The dataset sources are reports from the webiste of [International Energy Agency(IEA)]('https://www.iea.org/').
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### Data Collection and Processing
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We scraped free open reports from [IEA's website]("https://www.iea.org/analysis"). The reports are all pdf files and then we used the Llama 3 model to extract useful texts.\
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After getting the raw text, we have the two following steps:
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