Datasets:
File size: 4,301 Bytes
6e08daa f776e42 6e08daa f776e42 3141f3b 6e08daa f776e42 3141f3b 2230210 6e08daa 2230210 7a91206 2230210 6351069 2230210 6351069 2230210 6351069 2230210 7a91206 2230210 7a91206 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 |
---
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: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 153793
num_examples: 700
- name: test
num_bytes: 33014
num_examples: 150
- name: val
num_bytes: 33089
num_examples: 150
download_size: 102201
dataset_size: 219896
- 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: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 153433
num_examples: 700
- name: test
num_bytes: 33192
num_examples: 150
- name: val
num_bytes: 33271
num_examples: 150
download_size: 101970
dataset_size: 219896
- 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: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 155675
num_examples: 700
- name: test
num_bytes: 32490
num_examples: 150
- name: val
num_bytes: 31731
num_examples: 150
download_size: 101209
dataset_size: 219896
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: reserve_bank_of_australia
size_categories:
- 1K<n<10K
---
## Dataset Summary
For dataset summary, please refer to [https://huggingface.co/datasets/gtfintechlab/reserve_bank_of_australia](https://huggingface.co/datasets/gtfintechlab/reserve_bank_of_australia)
## 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 1,000 sentences taken from the meeting minutes of the Reserve Bank of Australia.
### 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 reserve_bank_of_australia 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 reserve_bank_of_australia 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)
|