Convert PDFs to a dataset and upload to Hugging Face
Display trending datasets from Hugging Face
Create a large, deduplicated dataset for LLM pre-training
Evaluate evaluators in Grounded Question Answering
Upload files to a Hugging Face repository
Organize and process datasets efficiently
Train a model using custom data
Download datasets from a URL
Upload files to a Hugging Face repository
Generate dataset for machine learning
Search and find similar datasets
Upload files to a Hugging Face repository
Create datasets with FAQs and SFT prompts
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.