Update README.md

README.md

@@ -28,6 +28,8 @@ For details on ChatTime models, training data and procedures, and experimental r
 
 The dataset for instruction fine-tuning is extracted from four task-specific datasets: [text question answering](https://huggingface.co/datasets/tatsu-lab/alpaca), [unimodal time series forecasting](https://huggingface.co/datasets/ChengsenWang/ChatTime-1-Pretrain-1M), [context-guided forecasting](https://huggingface.co/datasets/ChengsenWang/CGTSF), and [time series question answering](https://huggingface.co/datasets/ChengsenWang/TSQA). Each task contributes 25K samples, amounting to a total of 100K fine-tuned instances.
 
+For details on fine-tuning dataset, please refer to the [arXiv](https://arxiv.org/abs/0000.00000).
+
 ## 📝 Citation
 
 If you find this repo or our work useful for your research, please consider citing the paper: