README.md

metadata

dataset_info:
  - config_name: '5768'
    features:
      - name: sentences
        dtype: string
      - name: stance_label
        dtype: string
      - name: time_label
        dtype: string
      - name: certain_label
        dtype: string
      - name: year
        dtype: int64
      - name: bank_name
        dtype: string
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
        num_bytes: 4438352
        num_examples: 17500
      - name: test
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        num_examples: 3750
      - name: val
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        num_examples: 3750
    download_size: 2679854
    dataset_size: 6331470
  - config_name: '78516'
    features:
      - name: sentences
        dtype: string
      - name: stance_label
        dtype: string
      - name: time_label
        dtype: string
      - name: certain_label
        dtype: string
      - name: year
        dtype: int64
      - name: bank_name
        dtype: string
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
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        num_examples: 17500
      - name: test
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        num_examples: 3750
      - name: val
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        num_examples: 3750
    download_size: 2683823
    dataset_size: 6331470
  - config_name: '944601'
    features:
      - name: sentences
        dtype: string
      - name: stance_label
        dtype: string
      - name: time_label
        dtype: string
      - name: certain_label
        dtype: string
      - name: year
        dtype: int64
      - name: bank_name
        dtype: string
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
        num_bytes: 4430278
        num_examples: 17500
      - name: test
        num_bytes: 947469
        num_examples: 3750
      - name: val
        num_bytes: 953723
        num_examples: 3750
    download_size: 2684206
    dataset_size: 6331470
configs:
  - config_name: '5768'
    data_files:
      - split: train
        path: 5768/train-*
      - split: test
        path: 5768/test-*
      - split: val
        path: 5768/val-*
  - config_name: '78516'
    data_files:
      - split: train
        path: 78516/train-*
      - split: test
        path: 78516/test-*
      - split: val
        path: 78516/val-*
  - config_name: '944601'
    data_files:
      - split: train
        path: 944601/train-*
      - split: test
        path: 944601/test-*
      - split: val
        path: 944601/val-*
license: cc-by-nc-sa-4.0
task_categories:
  - text-classification
language:
  - en
tags:
  - finance
  - econ
pretty_name: all_annotated_sentences_25000
size_categories:
  - 10K<n<100K

Dataset Summary

For dataset summary, please refer to https://huggingface.co/datasets/gtfintechlab/all_annotated_sentences_25000

Additional Information

This dataset is annotated across three different tasks: Stance Detection, Temporal Classification, and Uncertainty Estimation. The tasks have four, two, and two unique labels, respectively. This dataset contains 25,000 sentences taken from the meeting minutes of the 25 central banks referenced in our paper.

Label Interpretation

Stance Detection

• Hawkish: The sentence supports contractionary monetary policy.
• Dovish: The sentence supports expansionary monetary policy.
• Neutral: The sentence contains neither hawkish or dovish sentiment, or both hawkish and dovish sentiment.
• Irrelevant: The sentence is not related to monetary policy.

Temporal Classification

• Forward-looking: The sentence discusses future economic events or decisions.
• Not Forward-looking: The sentence discusses past or current economic events or decisions.

Uncertainty Estimation

• Certain: Indicates that the sentence presents information definitively.
• Uncertain: Indicates that the sentence presents information with speculation, possibility, or doubt.

Licensing Information

The all_annotated_sentences_25000 dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. More information in the paper.

Citation Information

@article{WCBShahSukhaniPardawala,
  title={Words That Unite The World: A Unified Framework for Deciphering Global Central Bank Communications},
  author={Agam Shah, Siddhant Sukhani, Huzaifa Pardawala et al.},
  year={2025}
}

Contact

For any all_annotated_sentences_25000 dataset related issues and questions, please contact:

• Huzaifa Pardawala: huzaifahp7[at]gatech[dot]edu

• Siddhant Sukhani: ssukhani3[at]gatech[dot]edu

• Agam Shah: ashah482[at]gatech[dot]edu

GitHub Link

Link to our GitHub repository.