fine-tuned/FiQA2018-256-24-gpt-4o-2024-05-13-235808
收藏Hugging Face2024-05-23 更新2024-06-12 收录
下载链接：
https://hf-mirror.com/datasets/fine-tuned/FiQA2018-256-24-gpt-4o-2024-05-13-235808
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资源简介：
---
license: apache-2.0
task_categories:
- feature-extraction
- sentence-similarity
language:
- en
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Finance
- Sentiment
- NLP
- Analysis
- Opinion
pretty_name: financial sentiment analysis and opinion-based QA
size_categories:
- n<1K
---
# FiQA2018-256-24-gpt-4o-2024-05-13-235808 Dataset
## Dataset Description
The dataset "financial sentiment analysis and opinion-based QA" is a generated dataset designed to support the development of domain specific embedding models for retrieval tasks.
## Associated Model
This dataset was used to train the [**FiQA2018-256-24-gpt-4o-2024-05-13-235808**](https://huggingface.co/fine-tuned/FiQA2018-256-24-gpt-4o-2024-05-13-235808) model.
## How to Use
To use this dataset for model training or evaluation, you can load it using the Hugging Face `datasets` library as follows:
```python
from datasets import load_dataset
dataset = load_dataset("fine-tuned/FiQA2018-256-24-gpt-4o-2024-05-13-235808")
print(dataset['test'][0])
```
提供机构：
fine-tuned
原始信息汇总
数据集概述
数据集描述
数据集名为“financial sentiment analysis and opinion-based QA”，旨在支持特定领域嵌入模型的开发，用于检索任务。
相关模型
该数据集用于训练FiQA2018-256-24-gpt-4o-2024-05-13-235808模型。
使用方法
使用Hugging Face的datasets库加载该数据集的示例如下：
python from datasets import load_dataset
dataset = load_dataset("fine-tuned/FiQA2018-256-24-gpt-4o-2024-05-13-235808") print(dataset[test][0])
