Add metadata and links to paper and GitHub

README.md

@@ -1,10 +1,24 @@
+---
+language:
+- en
+task_categories:
+- image-text-to-text
+tags:
+- time-series
+- multimodal
+- reasoning
+- vision-language-model
+---
+
 # AAA-HiTSR Dataset
 
-A comprehensive **multimodal time series understanding and reasoning dataset** with multiple complexity levels.
+[**Paper**](https://huggingface.co/papers/2604.17295) | [**GitHub**](https://github.com/RainingNovember/LLaTiSA)
+
+A comprehensive **multimodal time series understanding and reasoning dataset** with multiple complexity levels, introduced in the paper "LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics".
 
 ## 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.
+HiTSR (Hierarchical Time Series Reasoning) contains time series data paired with visual representations (plots and numeric grids) 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
 
@@ -52,7 +66,7 @@ Each sample contains:
 
 ## Image Generation
 
-The `images` field in each sample contains URLs to visual representations of the time series data. To generate these images and populate the `images` field:
+The `images` field in each sample contains URLs to visual representations of the time series data. To generate these images and populate the `images` field using the scripts provided in the [official repository](https://github.com/RainingNovember/LLaTiSA):
 
 1. **Clone the data conversion repository:**
    ```bash
@@ -103,22 +117,7 @@ The `images` field in each sample contains URLs to visual representations of the
      --sample_ratio 1.0
    ```
 
-4. **Upload generated images to a hosting service** (e.g., GitHub, Imgur, or cloud storage) and update the URL prefixes in the commands above.
-
-5. **The output JSON files will have the `images` field populated** with the correct URLs:
-   ```json
-   {
-     "images": [
-       "https://your-hosting.com/images/plots/plot_1.png",
-       "https://your-hosting.com/images/numeric/num_1.png"
-     ]
-   }
-   ```
-
-**Notes:**
-- Each script generates two types of images per sample: trend plots (`plot_*.png`) and high-density numeric grids (`num_*.png`)
-- Use `--sample_ratio 1.0` to process all samples (default is 0.5)
-- The scripts automatically update the `prompt` and `answer` fields based on the dataset level requirements
+4. **Upload generated images to a hosting service** and update the URL prefixes in the commands above. The output JSON files will then have the `images` field populated with the correct URLs.
 
 ## File Organization
 
@@ -160,20 +159,14 @@ AAA-HiTSR/
 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}
+@article{llatisa2026,
+  title={LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics},
+  author={Yueyang Ding, HaoPeng Zhang, Rui Dai, Yi Wang, Tianyu Zong, Kaikui Liu, Xiangxiang Chu},
+  journal={arXiv preprint arXiv:2604.17295},
+  year={2026}
 }
 ```
 
 ## 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.
+This dataset is released for research purposes.