datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Ornith-1.0-9B-atlas
juiceb0xc0de/Ornith-1.0-9B-atlas
A brain atlas for deepreinforce-ai/Ornith-1.0-9B, the 9B agentic-coding model that reports SOTA results on Terminal-Bench, SWE-Bench, and other agentic coding benchmarks. This is not a chat dataset or a benchmark — it is an internal-mechanics map built by running activations through a corpus of prompts and scoring what each layer, component, head, and feature direction is doing.
If you want to know why this model survives surgical edits, where… See the full description on the dataset page: https://huggingface.co/datasets/juiceb0xc0de/Ornith-1.0-9B-atlas.CUDA-L2
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
🥳 Introduction
CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 systematically outperforms major matmul baselines to date, from the widely-used torch.matmul to state-of-the-art NVIDIA closed-source libraries (cuBLAS… See the full description on the dataset page: https://huggingface.co/datasets/ornith-ai/CUDA-L2.Ornith-1.5-9B-GGUF-metricsOrnith-1.5-35B-A3B-Nemotron-v2-100M
Ornith 1.5 35B A3B Nemotron v2 100M
This dataset contains 108,729 English conversations with
108,729 regenerated assistant turns and 100,014,884 generated
assistant completion tokens. 100M refers to the completion-token target, not the
number of examples.
The prompt mix is a deterministic sample from
nvidia/Nemotron-Post-Training-Dataset-v2.
It covers the source dataset's chat, code, math, and STEM subsets. Every assistant turn
was regenerated with ornith-ai/Ornith-1.5-35B-A3B;… See the full description on the dataset page: https://huggingface.co/datasets/jzinno/Ornith-1.5-35B-A3B-Nemotron-v2-100M.ornith-android-instruct
Ornith Android Instruct
5,500 instruction-tuning examples for Android development — Kotlin-first, Jetpack Compose-first, current (non-deprecated) APIs. Built as the training corpus for Ornith, a small language model specialized in writing Android application code, and usable for fine-tuning any code LLM toward modern Android development.
Train: 5,225 examples (ornith_dataset_merged.jsonl)
Eval: 275 held-out examples (ornith_eval_merged.jsonl)
Format: JSONL, one example per line… See the full description on the dataset page: https://huggingface.co/datasets/giggiovpg/ornith-android-instruct.humatheque-vlm-pred-ornith15-9b