Argilla, an open source data annotation and curation platform for building high quality datasets for natural language processing and large language models.
Argilla is an open source data annotation and curation platform for building the high quality datasets that modern natural language processing and large language models depend on. Data, machine learning and domain teams label, review and curate text, chat and multi field records through a collaborative web interface backed by a full REST API and a Python SDK. It covers the labelling tasks these workflows need, text classification, token and span labelling, ranking and preference collection and free form feedback, and organises the work into workspaces with owner, admin and annotator roles and per record progress tracking.
Argilla is the human feedback and dataset layer teams reach for when they need trustworthy training and evaluation data: curating instruction and preference sets for fine tuning and alignment, reviewing and correcting model outputs, and building labelled corpora for classification and extraction. It suits machine learning and data teams who want a collaborative annotation tool they run inside their own cloud account, with programmatic access so labelling fits directly into a data pipeline.
cloudimg delivers a complete Argilla ready to label: the server, a single node search backend for records and vectors, the background worker that Argilla needs to process dataset operations, and a reverse proxy are installed, memory tuned and wired together, so a working annotation platform answers within minutes of boot with nothing to assemble. It is secure by default in a way that matters here, because Argilla ships well known default accounts and an API key: none of them are ever created in this image, and on the first boot of every instance a unique owner password, a fresh API key and a fresh token signing key are generated and the owner credentials written to a file only the root user can read, so no two instances share a secret and the published defaults never work. The search backend and job queue stay on the loopback interface and only the web port is serviceable, the base is fully patched with unattended security upgrades enabled, and every deployment is paired with a step by step deploy guide and backed by 24/7 cloudimg support.
Real screenshots taken while testing this image against its deployment guide.