fine-tuned/FiQA2018-256-24-gpt-4o-2024-05-13-774308
收藏资源简介:
--- license: apache-2.0 task_categories: - feature-extraction - sentence-similarity language: - en tags: - sentence-transformers - feature-extraction - sentence-similarity - mteb - Finance - Sentiment - NLP - Opinion - Analysis pretty_name: financial sentiment analysis and opinion-based QA size_categories: - n<1K --- # FiQA2018-256-24-gpt-4o-2024-05-13-774308 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-2024-05-13-774308**](https://huggingface.co/fine-tuned/FiQA2018-256-24-gpt-4o-2024-05-13-774308) 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-2024-05-13-774308") print(dataset['test'][0]) ```
许可证:apache-2.0 任务类别: - 特征提取 - 句子相似度 语言: - 英语 标签: - 句子Transformer(sentence-transformers) - 特征提取(feature-extraction) - 句子相似度(sentence-similarity) - MTEB(mteb) - 金融(Finance) - 情感(Sentiment) - 自然语言处理(NLP,Natural Language Processing) - 观点(Opinion) - 分析(Analysis) 友好名称:金融情感分析与基于观点的问答 样本量类别: - n<1K(样本量少于1000) # FiQA2018-256-24-gpt-4o-2024-05-13-774308 数据集 ## 数据集说明 本数据集「金融情感分析与基于观点的问答」为生成式数据集,旨在支撑面向检索任务的领域专属嵌入模型研发。 ## 关联模型 本数据集曾用于训练[**FiQA2018-256-24-gpt-4o-2024-05-13-774308**](https://huggingface.co/fine-tuned/FiQA2018-256-24-gpt-4o-2024-05-13-774308) 模型。 ## 使用方法 若需将本数据集用于模型训练或评估,可通过Hugging Face的`datasets`库按以下方式加载: python from datasets import load_dataset dataset = load_dataset("fine-tuned/FiQA2018-256-24-gpt-4o-2024-05-13-774308") print(dataset['test'][0])
FiQA2018-256-24-gpt-4o-2024-05-13-774308 Dataset
数据集描述
- 目的: 支持开发特定领域的嵌入模型,用于检索任务。
- 名称: financial sentiment analysis and opinion-based QA
语言和任务类别
- 语言: 英语 (en)
- 任务类别:
- 特征提取 (feature-extraction)
- 句子相似度 (sentence-similarity)
标签
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Finance
- Sentiment
- NLP
- Opinion
- Analysis
数据集大小
- 分类: n<1K
使用方法
-
使用Hugging Face的
datasets库加载数据集: python from datasets import load_datasetdataset = load_dataset("fine-tuned/FiQA2018-256-24-gpt-4o-2024-05-13-774308") print(dataset[test][0])




