ProPrak01/deberta-v3-financial-sentiment
Text Classification • Updated • 21 • 1
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Dataset Name
📄 Paper · 💻 Code · 🌐 The Fin AI
Used in FinBen — FinBen: A Holistic Financial Benchmark for Large Language Models (arXiv:2402.12659).
Dataset Description
This dataset is based on the task 1 of the Financial Sentiment Analysis in the Wild (FiQA) challenge. It follows the same settings as described in the paper 'A Baseline for Aspect-Based Sentiment Analysis in Financial Microblogs and News'. The dataset is split into three subsets: train, valid, test with sizes 822, 117, 234 respectively.
Dataset Structure
_id: ID of the data pointsentence: The sentencetarget: The target of the sentimentaspect: The aspect of the sentimentscore: The sentiment scoretype: The type of the data point (headline or post)
Additional Information
- Homepage: FiQA Challenge
- Citation: A Baseline for Aspect-Based Sentiment Analysis in Financial Microblogs and News
Downloading CSV
from datasets import load_dataset
# Load the dataset from the hub
dataset = load_dataset("ChanceFocus/fiqa-sentiment-classification")
# Save the dataset to a CSV file
dataset["train"].to_csv("train.csv")
dataset["valid"].to_csv("valid.csv")
dataset["test"].to_csv("test.csv")
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