Argilla 2.4: Easily Build Fine-Tuning and Evaluation Datasets on the Hub — No Code Required

Announcing Evaluation on the Hub

Data is better together: Enabling communities to collectively build better datasets together using Argilla and Hugging Face Spaces

MLLM-DataEngine: Closing the Loop of Multimodal Instruction Tuning Data Generation

arXiv:2607. 15299v1 Announce Type: cross Abstract: In this paper, we propose MLLM-DataEngine, a novel closed-loop system that bridges data generation, model training, and evaluation.

DuckDB: analyze 50,000+ datasets stored on the Hugging Face Hub

Introducing the Data Measurements Tool: an Interactive Tool for Looking at Datasets

nanoVLM: The simplest repository to train your VLM in pure PyTorch