Datasets:

k-datasoft
/

Multimodal-test-dataset-technicalindicators

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

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