| --- |
| license: mit |
| task_categories: |
| - time-series-forecasting |
| - text-classification |
| language: |
| - ko |
| size_categories: |
| - 10K<n<100K |
| dataset_info: |
| features: |
| - name: labels |
| dtype: int64 |
| - name: time_series |
| list: |
| list: float64 |
| - name: texts |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 22975241 |
| num_examples: 10605 |
| download_size: 14726776 |
| dataset_size: 22975241 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # 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 |
| |
