Dataset · Hugging Face

docling-project/SemTabNet

Name: SemTabNet
Creator: docling-project
License: mit
Keywords: task_categories:feature-extraction, task_categories:table-question-answering, language:en, license:mit, size_categories:100K<n<1M, arxiv:2406.19102, region:us, information-extraction, table-understanding, climate, ESG

Dataset Card for SemTabNet This dataset accompanies the following paper: Title: Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs Authors: Lokesh Mishra, Sohayl Dhibi, Yusik Kim, Cesar Berrospi Ramis, Shubham Gupta, Michele Dolfi, Peter Staar Venue: Accepted at the NLP4Climate workshop in the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) In this paper, we propose STATEMENTS as a new knowledge model… See the full description on the dataset page: https://huggingface.co/datasets/docling-project/SemTabNet.

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Author / organization	docling-project
License (as declared)	mit
Downloads	131 (as reported by Hugging Face)
Likes	3
Created	27 June 2024
Last updated at source	28 June 2024

information-extractiontable-understandingclimateESG

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