Convert PDFs to a dataset and upload to Hugging Face
Evaluate evaluators in Grounded Question Answering
Organize and process datasets using AI
Create a report in BoAmps format
Curate and manage datasets for AI and machine learning
Browse a list of machine learning datasets
Annotation Tool
Explore and manage datasets for machine learning
Convert a model to Safetensors and open a PR
Organize and process datasets for AI models
Display trending datasets from Hugging Face
Organize and invoke AI models with Flow visualization
Explore, annotate, and manage datasets
PDF to Dataset is a tool designed to convert PDF files into structured datasets. It extracts data from PDF documents and organizes it into a format that can be easily used for data analysis, machine learning, or other applications. The tool is particularly useful for researchers, data scientists, and professionals who need to work with information locked in PDF formats. It also allows users to upload the resulting dataset directly to Hugging Face, making it accessible for further processing or sharing with the community.
What types of PDF files are supported?
PDF to Dataset supports text-based, image-based, and table-based PDFs. For image-based PDFs, OCR (Optical Character Recognition) is used to extract text.
How long does the conversion process take?
Conversion time depends on the size and complexity of the PDF file. Small files are processed in seconds, while larger files may take a few minutes.
What formats can the dataset be exported in?
The dataset can be exported in multiple formats, including CSV, JSON, and Excel, making it compatible with most data analysis tools.