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EDGAR10-Q

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OpenXLab2026-04-18 收录
下载链接:
https://openxlab.org.cn/datasets/OpenDataLab/EDGAR10-Q
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资源简介:
EDGAR10-Q is a large financial dataset curated by scraping annual and quarterly reports of top 1500 LLCs in the world. The dataset is designed for the task of ContextNER, which aims to generate the relevant context for entities in a sentence, where the context is a set of phrases describing the entity but not necessarily present in the sentence. The dataset is the largest in terms of the number of sentences (1M), entities (2.8M), and average tokens per sentence (35).
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OpenDataLab
创建时间:
2023-12-06
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