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52 Articles

Tags :Document Extraction and Cleaning

PDF-Extract-Kit: open source tool for extracting complex structural PDF content - Chief AI Sharing Circle

PDF-Extract-Kit: extract the complex structure of PDF content of open source tools

Comprehensive Introduction PDF-Extract-Kit is an open source project developed by the OpenDataLab team , focusing on the efficient extraction of high-quality content from complex and diverse PDF documents . It integrates advanced document parsing technology , support for layout detection , formula recognition , table extraction and OCR functions for ...

Crawl4LLM: An Efficient Web Crawling Tool for LLM Pre-training - Chief AI Sharing Circle

Crawl4LLM: An Efficient Web Crawling Tool for LLM Pretraining

Comprehensive Introduction Crawl4LLM is an open source project jointly developed by Tsinghua University and Carnegie Mellon University, focusing on optimizing the efficiency of web crawling for pre-training of large models (LLM). It significantly reduces ineffective crawling by intelligently selecting high-quality web page data, claiming to be able to originally need to crawl 100 web pages of work...

CodeWeaver: Automatically generate Markdown documents from code structure and content - Chief AI Sharing Circle

CodeWeaver: Automatically generate Markdown documents from code structure and content.

General Introduction CodeWeaver is a command-line tool designed to weave code libraries into single, easy-to-navigate Markdown documents. It generates a structured representation of a project's file hierarchy by recursively scanning directories and embedding the contents of each file in code blocks. The tool is designed with the goal of simplifying...

zChunk: Generalized Semantic Chunking Strategy Based on Llama-70B - Chief AI Sharing Circle

zChunk: a generic semantic chunking strategy based on Llama-70B

Comprehensive Introduction zChunk is a novel chunking strategy developed by ZeroEntropy to provide a solution for generic semantic chunking. The strategy is based on the Llama-70B model and optimizes the chunking process of a document by prompting for chunks to be generated, ensuring that a high signal-to-noise ratio is maintained during information retrieval. zChunk is particularly suited for...

Pulse: Business Solutions for Document Processing and Data Extraction - Chief AI Sharing Circle

Pulse: Business Solutions for Document Processing and Data Extraction

Comprehensive Introduction Pulse is an intelligent platform focused on document processing and data extraction, designed to help organizations and developers efficiently parse and process a wide range of complex documents. Through its advanced computer vision and multimodal processing technology, Pulse is able to accurately process documents from text, images, tables and other formats...

Rowfill: Batch Extraction of Document Structured Information and Automated Analysis - Chief AI Sharing Circle

Rowfill: Batch Extraction of Structured Information from Documents and Automated Analysis

Comprehensive Introduction Rowfill is an open source document processing platform designed for knowledge workers. It utilizes advanced AI technologies to extract, analyze and process data from complex documents, images and PDFs.Rowfill supports native Large Language Models (LLM) and OpenAI Visual Models to ensure that data is hidden...

UnDatas.IO: API service for accurate parsing of various types of unstructured data (paid)

Comprehensive Introduction UnDatas.IO is a platform focused on parsing and processing unstructured data. It utilizes advanced technology to automatically recognize document layouts and categorize tables, images, formulas and text, greatly simplifying the data processing process. The platform not only saves a lot of time in organizing data, but also helps...

SemHash: Fast implementation of semantic text de-duplication to improve data cleaning efficiency

General Introduction SemHash is a lightweight and flexible tool for dataset de-duplication by semantic similarity. It combines the fast embedding generation of Model2Vec with the efficient ANN (Approximate Nearest Neighbor) similarity search of Vicinity.SemHash supports single dataset de-duplication (e.g., cleaning the training...

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