TxT360-3efforts is a supervised fine-tuning (SFT) dataset designed to train language models with three reasoning efforts (low, medium, high) controllable via chat template. The dataset consists of approximately 10 million documents with 10 billion loss tokens.
All question sources are either collected from permissively licensed public datasets or synthetically generated, and are subsequently quality-filtered, deduplicated, and… See the full description on the dataset page: https://huggingface.co/datasets/IFM/TxT360-3efforts.
