datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TRM-modified-datamix-tokenized
TRM modified datamix (tokenized)
Pre-tokenized reasoning/pretraining mixture for from-scratch TRM (Tiny Recursive Model)
training, built by running data_io — the HRM-Text data
pipeline — verbatim on sapientinc/HRM-Text-data-io-cleaned-20260515, with three
deliberate, documented deviations (below).
It is emitted in the V1 tokenized dataset format (a single concatenated token pool +
per-epoch document indices) and is ready to stream directly into training — no re-tokenization.… See the full description on the dataset page: https://huggingface.co/datasets/m-ric/TRM-modified-datamix-tokenized.TRM-Preference
TRM-Preference
The TRM-Preference dataset is introduced in the paper Characterizing, Evaluating, and Optimizing Complex Reasoning.
The dataset is designed to evaluate and optimize the quality of reasoning traces in Large Reasoning Models (LRMs) by training a Thinking Reward Model (TRM). Instead of focusing solely on answer correctness, TRM-Preference uses the ME² principle to evaluate "how a model thinks" across four dimensions:
Macro-Efficiency: Disciplined global structure… See the full description on the dataset page: https://huggingface.co/datasets/zzzhr97/TRM-Preference.