pos
Datasets
All datasets matching “pos”RT-PosePaper
RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark (ECCV 2024)
RT-Pose introduces a human pose estimation (HPE) dataset and benchmark by integrating a unique combination of calibrated radar ADC data, 4D radar tensors, stereo RGB images, and LiDAR point clouds.
This integration marks a significant advancement in studying human pose analysis through multi-modality datasets.
Dataset Details
Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/uwipl/RT-Pose.PostTrainBench-Trajectories
PostTrainBench Agent Traces
Agent traces from PostTrainBench (GitHub), a benchmark that measures CLI agents' ability to post-train base LLMs.
Task
Each agent is given:
A pre-trained base LLM to fine-tune
An evaluation script for a specific benchmark
10 hours on an NVIDIA H100 80GB GPU
The agent must autonomously improve the model's performance on the target benchmark using any post-training strategy it chooses (SFT, LoRA, RLHF, prompt engineering for data… See the full description on the dataset page: https://huggingface.co/datasets/aisa-group/PostTrainBench-Trajectories.posterpretrain_v1_20b
Chess Pre-to-Post — Pretraining Corpus v1 (20B)
Raw tokenized pretraining data for the Chess Pre-to-Post project, stored as
sharded NumPy arrays (shard_XXXX/raw.NNNN.npy).
[!IMPORTANT]
This is an earlier, smaller (20B) snapshot and is no longer maintained.
The maintained version of this dataset is
pavelslab-nyu/pretrain_v1_54B.
Please use that version for any new work — it supersedes this one.
Maintained version
➡️ pavelslab-nyu/pretrain_v1_54B… See the full description on the dataset page: https://huggingface.co/datasets/chess-pre-to-post/pretrain_v1_20b.post-ocr2Nemotron-Post-Training-Dataset-v1
Nemotron-Post-Training-Dataset-v1 Release
This dataset is a compilation of SFT data that supports improvements of math, code, stem, general reasoning, and tool calling capabilities of the original Llama instruct model Llama-3.3-Nemotron-Super-49B-v1.5.
Llama-3.3-Nemotron-Super-49B-v1.5 is an LLM which is a derivative of Meta Llama-3.3-70B-Instruct (AKA the reference model).
Llama-3.3-Nemotron-Super-49B-v1.5 offers a great tradeoff between model accuracy and efficiency. Efficiency… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Post-Training-Dataset-v1.
