What types of AI models can be trained using datasets purchased from LabelSets?
Datasets from LabelSets are suitable for training a wide array of AI models, including those for autonomous vehicles (perception models), medical AI (radiology, pathology), fraud detection, Large Language Model (LLM) fine-tuning (e.g., LLaMA, Mistral, GPT), retail & e-commerce applications (product classification, defect detection), and speech & audio processing.
How does LabelSets ensure the quality and compliance of medical imaging datasets?
Medical imaging datasets on LabelSets are de-identified and IRB-compliant, supporting formats like DICOM and NIfTI. Every dataset listed on the platform undergoes a quality review before being made available to buyers, and samples can be previewed to ensure suitability.
What specific formats are supported for LLM fine-tuning datasets on LabelSets?
For LLM fine-tuning, LabelSets supports datasets in JSONL chat format, which includes instruction-response pairs, domain-specific Q&A, and preference datasets, making them compatible with models like LLaMA, Mistral, and GPT.
Beyond the 85% revenue share, are there any hidden fees or costs for sellers to list their datasets?
LabelSets states that it is 'Free to list' datasets. Sellers keep 85% of every sale, with LabelSets taking a 15% commission. There is no mention of additional hidden fees or costs for listing datasets on the platform.
Can buyers access their purchased datasets indefinitely, and in what formats?
Yes, buyers can access their purchased datasets from their dashboard forever. The platform ensures that files are available immediately after purchase and can be accessed in every format they were originally provided in.