---
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
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  - name: test
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  download_size: 2679854
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- 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
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  - name: test
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  - name: val
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  download_size: 2683823
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- 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:
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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: 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](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](https://arxiv.org). 

### 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.](https://arxiv.org)

## Citation Information
```bibtex
@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.](https://github.com/gtfintechlab/WorldsCentralBanks)