Update README.md

README.md

@@ -7,3 +7,50 @@ configs:
 - 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 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
+- `data_str`: Embedded time series data
+- `options`: A list of multiple-choice options
+- `answer`: The correct option(s)
+- `context`: Contextual information for the task
+- `constraint`: Constraints on output format or variable naming
+
+## 🔧 Usage
+
+For usage instructions and examples, please refer to the GitHub repository: [GitHub Repository](<待添加链接>)
+
+## 📄 License
+
+This dataset is licensed under the [CC BY 4.0](https://creativecommons.org/licenses/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.