Upload README.md with huggingface_hub

README.md

@@ -1,22 +1,58 @@
 ---
-dataset_info:
-  features:
-  - name: labels
-    dtype: int64
-  - name: time_series
-    list:
-      list: float64
-  - name: texts
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 157812274
-    num_examples: 70494
-  download_size: 121681036
-  dataset_size: 157812274
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+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