inference
inference-datagroot_n1.7_inference_on_diff_data
GROOT Inference Analysis Log
Evaluation records for a GR00T policy trained on the task
"pick octopus and place inside brown basket", run on a Unitree G1 at 20 Hz
with the ego_view stereo camera.
Six training checkpoints (50, 100, 150, 200, 250, 300 demonstration episodes) were each
evaluated on 50 inference episodes. Every episode is recorded here with video,
per-tick state/action logs and run metadata.
Success rate
Checkpoint (training episodes)
Success… See the full description on the dataset page: https://huggingface.co/datasets/rahul-ai-01/groot_n1.7_inference_on_diff_data.code-world-model-inference-examples-40
Inference examples
This directory contains 40 numbered, independent inference examples.
Every example uses only its public number; source case names and internal paths
are intentionally omitted.
Each numbered directory contains:
first_frame.png: exact 1536x864 generated RGB first frame used by inference.
prompts/*.txt: the exact rolling long-inference prompts used for the result.
condition/*.npz: ordered lossless condition chunks.
metadata.json: frame count, FPS, prompt windows… See the full description on the dataset page: https://huggingface.co/datasets/NTU-yiwen/code-world-model-inference-examples-40.inference-scratchdata_inference_pythia_6_9binference-dataset
VLM-Gym Inference Dataset
This dataset contains pre-defined test episodes and initial states for evaluating Vision-Language Models (VLMs) on the VLM-Gym benchmark.
Dataset Structure
inference-dataset/
├── test_set_easy/ # Easy difficulty test episodes (JSONL)
├── test_set_hard/ # Hard difficulty test episodes (JSONL)
├── initial_states_easy/ # Initial environment states for easy episodes (JSON)
├── initial_states_hard/ # Initial environment… See the full description on the dataset page: https://huggingface.co/datasets/VisGym/inference-dataset.