llm-extraction
llm-ner-extraction
Introduction
This dataset is an extraction of NER data from the wikipedia dataset.
This can be used to fine tune llm models for NER extraction.
extraction-wiki-ja
extraction-wiki-ja
This repository provides an instruction-tuning dataset developed by LLM-jp, a collaborative project launched in Japan.
This is a Japanese instruction-tuning dataset tailored for information extraction and structuring from Japanese Wikipedia text.
The dataset consists of instruction–response pairs automatically generated from Japanese Wikipedia articles. Instructions are created by prompting Qwen/Qwen2.5-32B-Instruct with passages from Wikipedia, and the… See the full description on the dataset page: https://huggingface.co/datasets/llm-jp/extraction-wiki-ja.contracts-extraction-instruction-llm-experiments
Dataset Card for "contracts-extraction-instruction-llm-experiments"
More Information needed
LLM-Oasis_claim_extraction
Babelscape/LLM-Oasis_claim_extraction
Dataset Description
LLM-Oasis_claim_extraction is part of the LLM-Oasis suite and contains text-claim pairs extracted from Wikipedia pages.
It provides the data used to train the claim extraction system described in Section 3.1 of the LLM-Oasis paper. Please refer to our GitHub repository for more information on the overall data generation pipeline of LLM-Oasis.
Features
title: The title of the Wikipedia page.
text: A… See the full description on the dataset page: https://huggingface.co/datasets/Babelscape/LLM-Oasis_claim_extraction.deepseek-ai__deepseek-llm-7b-chatsci-m-wang__deepseek-llm-7b-chat-sa-v0.1