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TheFinAI/fiqa-sentiment-classification

Dataset Name 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 point sentence: The sentence target: The… See the full description on the dataset page: https://huggingface.co/datasets/TheFinAI/fiqa-sentiment-classification.

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Dataset Card

Dataset Name

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 point
  • —sentence: The sentence
  • —target: The target of the sentiment
  • —aspect: The aspect of the sentiment
  • —score: The sentiment score
  • —type: The type of the data point (headline or post)

Additional Information

Downloading CSV

python
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")