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  **TSAIA** is an instruction-based evaluation dataset specifically designed for time series analysis tasks.
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  ## 📚 Dataset Structure
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  The dataset comprises two subsets:
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  - `question_id`: Unique identifier for each question
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  - `question_type`: Type of question
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  - `prompt`: Natural language description of the task
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- - `data_str`: Embedded time series data
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  - `options`: A list of multiple-choice options
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  - `answer`: The correct option(s)
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- - `context`: Contextual information for the task
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- - `constraint`: Constraints on output format or variable naming
 
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  ## 🔧 Usage
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  **TSAIA** is an instruction-based evaluation dataset specifically designed for time series analysis tasks.
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+ ![Alt text](./task_categorization.png)
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  ## 📚 Dataset Structure
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  The dataset comprises two subsets:
 
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  - `question_id`: Unique identifier for each question
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  - `question_type`: Type of question
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  - `prompt`: Natural language description of the task
 
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  - `options`: A list of multiple-choice options
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  - `answer`: The correct option(s)
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+ - `data_info`: Description of the data
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+ - `answer_info`: Description of the answer
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+ - `executor_variables`: Definitions of variables available for model execution
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  ## 🔧 Usage
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