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README.md

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-license: mit
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+# AAA-HiTSR Dataset
+
+A comprehensive **multimodal time series understanding and reasoning dataset** with multiple complexity levels.
+
+## Overview
+
+This dataset contains time series data paired with visual representations and natural language instructions for time series analysis tasks. The dataset is organized into **3 levels of complexity** with corresponding train/test splits.
+
+### Dataset Statistics
+
+- **Level 1 (Basic)**: Single series analysis (min/max detection, trend analysis)
+  - Training samples: ~27,000
+  - Test samples: Multiple variants (minmax, multiseries, startend, subseries)
+
+- **Level 2 (Intermediate)**: Multi-series analysis and relationships
+  - Training samples: ~40,000+
+  - Test categories: global, local, numerical
+
+- **Level 3 (Advanced)**: Complex reasoning and annotations
+  - Training samples: ~1,000+
+  - Test samples: Final test set
+
+## Data Structure
+
+Each sample contains:
+
+```json
+{
+  "id": 1,
+  "timeseries": [[float_values]],
+  "prompt": "Multi-modal prompt with image tags",
+  "answer": "Model answer to the question",
+  "2img_prompt": "Detailed instructions for image interpretation",
+  "prompt_1": "Variant 1 of the question",
+  "prompt_2": "Variant 2 of the question",
+  "answer_1": "Answer in format 1",
+  "answer_2": "Answer in format 2",
+  "images": ["image_url_1", "image_url_2"]
+}
+```
+
+### Key Fields
+
+- **id**: Unique identifier for each sample
+- **timeseries**: Array of time series values (floats)
+- **prompt**: Main question/instruction with image references (e.g., `<image>`)
+- **answer**: Expected model response
+- **2img_prompt**: Detailed instructions for interpreting high-density numeric grids
+- **prompt_1/prompt_2**: Alternative question formats
+- **answer_1/answer_2**: Alternative answer formats
+- **images**: URLs to corresponding plot and numeric grid images
+
+## File Organization
+
+```
+AAA-HiTSR/
+├── Train/
+│   ├── l1_train_llatisa.json      (Level 1: 27,000 samples)
+│   ├── l2_train_llatisa.json      (Level 2: 40,000+ samples)
+│   └── l3_train_llatisa.json      (Level 3: 1,000+ samples)
+└── Test/
+    ├── l1_test_startend.json
+    ├── l1_test_minmax.json
+    ├── l1_test_subseries.json
+    ├── l1_test_multiseries.json
+    ├── l2_test_global.json
+    ├── l2_test_local.json
+    ├── l2_test_numerical.json
+    └── l3_test.json
+```
+
+## Task Types
+
+### Level 1 - Basic Time Series Analysis
+- Finding maximum/minimum values and their indices
+- Trend detection (start/end values)
+- Subsequence identification
+
+### Level 2 - Multi-Series Analysis
+- Global patterns and relationships
+- Local anomalies and features
+- Numerical reasoning over multiple series
+
+### Level 3 - Advanced Reasoning
+- Complex queries requiring multi-step reasoning
+- Real fine-tuning (RFT) and GRPO annotations
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@dataset{aaa_hitsr_2024,
+  title={AAA-HiTSR: A Comprehensive Multimodal Time Series Understanding Dataset},
+  year={2024}
+}
+```
+
+## Licensing
+
+This dataset is released for research purposes.
+
+## Dataset Creator
+
+Created as part of the LLaTiSA project.
+
+## Contact
+
+For issues or questions regarding the dataset, please open an issue on the HuggingFace Hub.