datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
auditkit-testrun-encoder-judge
auditkit-testrun-encoder-judge
Built using AuditKIT — evaluate any model on any dataset and any task.
Method
evaluate
Model
<auditkit.model.vllm_gen.VLLMModel object at 0x7a6694415010>
Artifact
run
Published
2026-09-01 14:16 UTC
Usage
from datasets import load_dataset
ds = load_dataset("ram-lexsi/auditkit-testrun-encoder-judge")
AutoMoT-PDM-Lite-BEV-Encoder-Indexes
AutoMoT PDM-Lite BEV Encoder Indexes
This dataset provides the prepared PDM-Lite JSONL indexes for AutoMoT training.
Files
pdm_lite_2hz_2tp_train_bev_encoder.jsonl
pdm_lite_2hz_2tp_val_bev_encoder.jsonl
Each row contains four historical front-camera paths in image, the current
front-camera path in front, trajectory and route supervision, future-speed
supervision, and a reference to the precomputed current-frame BEV feature:
bev_encoder_feature… See the full description on the dataset page: https://huggingface.co/datasets/HqH1111/AutoMoT-PDM-Lite-BEV-Encoder-Indexes.