metadata

license: cc-by-4.0
configs:
  - config_name: analysis_questions
    data_files: analysis_questions.csv
    default: true
  - config_name: multiple_choice
    data_files: multiple_choice.csv

TSAIA: Time Series Analysis Instructional Assessment

TSAIA is an instruction-based evaluation dataset specifically designed for time series analysis and multiple choice tasks.

📚 Dataset Structure

The dataset comprises two subsets:

analysis_questions: 904 samples
multiple_choice: 150 samples

Fields in `analysis_questions`:

question_id: Unique identifier for each question
question_type: Type of question (e.g., easy_stock-future price)
prompt: Natural language description of the task
data_str: Embedded time series data (typically stock prices)
executor_variables: Definitions of variables available for model execution
ground_truth_data: Reference answer or target output
context: Contextual information for the task
constraint: Constraints on output format or variable naming

Fields in `multiple_choice`:

question_id: Unique identifier for each question
question_type: Type of question
prompt: Natural language description of the task
options: A list of multiple-choice options
answer: The correct option(s)
data_info: Description of the data
answer_info: Description of the answer
executor_variables: Definitions of variables available for model execution

🔧 Usage

For usage instructions and examples, please refer to the GitHub repository: GitHub Repository

📄 License

This dataset is licensed under the CC BY 4.0 license. You are free to use and distribute it, provided appropriate credit is given.

🤝 Citation and Contribution

If you utilize the TSAIA dataset in your research or projects, please cite it accordingly.

Contributions are welcome! Feel free to submit pull requests or open issues to suggest improvements or add new task samples.