Hebrew ML Datasets Navigator

Problem

The Israeli ML community punches above its weight, but the datasets and models are scattered. ivrit.ai publishes world-class Hebrew speech corpora on one HuggingFace org, Dicta publishes Hebrew LLMs and BERT variants on another, the Israeli National NLP Program maintains benchmarks under HebArabNlpProject, and classic resources like AlephBERT live elsewhere. Licenses vary from fully commercial-friendly to research-only. Hebrew register coverage varies dramatically: some corpora are all modern standard, others are half religious texts, others are spoken colloquial. A researcher trying to pick the right combination for "fine-tune a Hebrew sentiment classifier on customer support chat for a commercial product" has to hunt across five orgs and read every dataset card to understand what they can actually use.

Instructions

Step 1: Identify the task

Different Hebrew ML tasks need different datasets. Match your task to a dataset family before searching.