Datasets:
metadata
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: string
- name: query
dtype: string
- name: answer
dtype: string
- name: choices
sequence: string
- name: gold
dtype: int64
splits:
- name: train
num_bytes: 6885237
num_examples: 12947
- name: valid
num_bytes: 1713486
num_examples: 3237
- name: test
num_bytes: 2154392
num_examples: 4047
download_size: 2852286
dataset_size: 10753115
license: mit
language:
- en
tags:
- finance
- thefinai
extra_gated_heading: Request access to News sentiment (NWGI)
extra_gated_description: >-
News sentiment (NWGI) is released by The Fin AI for research. Access is
granted automatically after you complete this short form.
extra_gated_button_content: Agree and access
extra_gated_prompt: >-
By accessing this dataset you agree to its license and to cite the The Fin AI
paper in any resulting publication.
extra_gated_fields:
Full name: text
Affiliation: text
Country: country
Intended use:
type: select
options:
- Research
- Education
- Commercial evaluation
- Other
I agree to the terms above and will cite the paper: checkbox
Dataset Card for "NWGI_test"
Dataset Class:
class NWGI(InstructionDataset):
dataset = "NWGI"
task_type = "classification"
choices = [
'strong negative', 'moderately negative', 'mildly negative', 'neutral',
'mildly positive', 'moderately positive', 'strong positive',
]
prompt = '''What is the sentiment of this news?
{input}
Please choose an answer from {{strong negative/moderately negative/mildly negative/neutral/mildly positive/moderately positive/strong positive}}.'''
def fetch_data(self, datum):
return {'input': datum['input'], 'answer': datum['answer']}