Datasets:
| license: mit | |
| task_categories: | |
| - time-series-forecasting | |
| - text-classification | |
| language: | |
| - ko | |
| size_categories: | |
| - 10K<n<100K | |
| # TIPS Multimodal Test Dataset | |
| ## Dataset Description | |
| This dataset contains test data for multimodal stock prediction using time series and text data. | |
| ### Dataset Structure | |
| - **labels**: Binary labels for stock price prediction (0: down/neutral, 1: up) | |
| - **time_series**: Time series features for stock data | |
| - **texts**: Korean news text data related to stocks | |
| ### Data Splits | |
| This is the test split of the TIPS multimodal dataset. | |
| ### Usage | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("k-datasoft/Multimodal-test-dataset-technicalindicators") | |
| ``` | |
| ### Data Fields | |
| - `labels`: int - Binary classification label | |
| - `time_series`: array - Time series features | |
| - `texts`: string - Korean news text | |
| ### Citation | |
| If you use this dataset, please cite: | |
| ``` | |
| @dataset{tips_multimodal_test, | |
| title={TIPS Multimodal Test Dataset}, | |
| author={Your Name}, | |
| year={2025}, | |
| publisher={Hugging Face}, | |
| url={https://huggingface.co/datasets/k-datasoft/Multimodal-test-dataset-technicalindicators} | |
| } | |
| ``` | |
| ### License | |
| MIT License | |