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Fast Multimodal Semantic Deduplication & Filtering
Jo is a command-line utility designed to construct and manipulate JSON objects and arrays directly from shell arguments and standard input. It functions as a data processing tool that transforms raw input into structured formats, enabling the generation of complex payloads for APIs, configuration files, and automated data pipelines. The tool distinguishes itself through its ability to resolve hierarchical data structures using delimiter-based path definitions and its integrated type-inference engine, which automatically casts input values into native boolean, numeric, or null types. Users can
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
The main features of huggingface/datatrove are: Data Curation and Filtering, Data Pipelines, Data Processing, Data Processing Tools.
Projects with overlapping indexed features include: minishlab/semhash — Fast Multimodal Semantic Deduplication & Filtering. jpmens/jo — Jo is a command-line utility designed to construct and manipulate JSON objects and arrays directly from shell… catchthetornado/pdf-extract-api — Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models.… allenai/olmocr — Olmocr is a distributed document processing framework designed to convert PDF and image files into structured… bytedance/dolphin — Dolphin is a multimodal layout analyzer and image-to-structure converter that transforms photographed or digital… 599yongyang/datasetloom — 一个面向多模态大模型训练的智能数据集构建与评估平台.
