helvia/banking77-representative-samples
收藏Hugging Face2024-02-13 更新2024-03-04 收录
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资源简介：
## About
This is a curated subset of 3 representative samples per class (77 classes in total) for the Banking77 dataset, as collected by a domain expert.
It was used in the paper "Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking", published in ACM ICAIF 2023 (https://arxiv.org/abs/2311.06102).
Our findings show that Few-Shot Text Classification on representative samples are better than randomly selected samples.
## Citation
```
@inproceedings{10.1145/3604237.3626891,
author = {Loukas, Lefteris and Stogiannidis, Ilias and Diamantopoulos, Odysseas and Malakasiotis, Prodromos and Vassos, Stavros},
title = {Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking},
year = {2023},
isbn = {9798400702402},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3604237.3626891},
doi = {10.1145/3604237.3626891},
pages = {392–400},
numpages = {9},
keywords = {Anthropic, Cohere, OpenAI, LLMs, NLP, Claude, GPT, Few-shot},
location = {Brooklyn, NY, USA},
series = {ICAIF '23}
}
```
---
language:
- en
Tags:
- banking77
- classification
- conversational
---
提供机构：
helvia
原始信息汇总
数据集概述
- 数据集名称: Banking77
- 数据集描述: 该数据集是一个精选子集，包含每个类别（共77个类别）的3个代表性样本，由领域专家收集。
- 数据集用途: 用于论文《Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking》，该论文发表于ACM ICAIF 2023。
- 研究成果: 研究表明，在代表性样本上的少样本文本分类效果优于随机选择的样本。
数据集引用信息
@inproceedings{10.1145/3604237.3626891, author = {Loukas, Lefteris and Stogiannidis, Ilias and Diamantopoulos, Odysseas and Malakasiotis, Prodromos and Vassos, Stavros}, title = {Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking}, year = {2023}, isbn = {9798400702402}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3604237.3626891}, doi = {10.1145/3604237.3626891}, pages = {392–400}, numpages = {9}, keywords = {Anthropic, Cohere, OpenAI, LLMs, NLP, Claude, GPT, Few-shot}, location = {Brooklyn, NY, USA}, series = {ICAIF 23} }
