mteb/CorporateLobbyingLegalBenchClassification
收藏Hugging Face2025-05-06 更新2025-05-31 收录
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https://hf-mirror.com/datasets/mteb/CorporateLobbyingLegalBenchClassification
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资源简介:
CorporateLobbyingLegalBenchClassification数据集是一个单语言(英文)数据集,用于文本分类任务。它包含了根据公司的SEC 10K文件自我描述判断一个拟议的国会法案是否可能与公司相关的文本和标签。数据集分为训练集和测试集,其中训练集有10个样本,测试集有490个样本。数据集是作为MTEB(Massive Text Embedding Benchmark)任务的一部分提供的。
The CorporateLobbyingLegalBenchClassification dataset is a monolingual (English) dataset for text classification tasks. It consists of texts and labels for determining whether a proposed Congressional bill may be relevant to a company based on the companys self-description in its SEC 10K filing. The dataset is split into a training set with 10 samples and a test set with 490 samples, and is provided as part of the MTEB (Massive Text Embedding Benchmark) tasks.
提供机构:
mteb



