| license: apache-2.0 | |
| task_categories: | |
| - robotics | |
| - image-classification | |
| pretty_name: SafeLoop v56 Training Data | |
| # SafeLoop v56 Training Data | |
| This dataset contains the public training data used for the SafeLoop v56 predictor-head release. It pairs three JSONL training files with a de-duplicated set of rollout image frames stored as tar shards. | |
| Code: https://github.com/Loule0-0/SafeLoop | |
| Weights: https://huggingface.co/Jaqen0-0/SafeLoop | |
| ## Contents | |
| - `data/hardcase_v9_with20260706_controller_ablation.jsonl`: object-recall stage data. | |
| - `data/merged_v23_large_clean.jsonl`: success-balanced stage data. | |
| - `data/merged_v30_newstuck_oversample4.jsonl`: final low-drift stuck/object stage data. | |
| - `shards/images_*.tar`: image frames referenced by the JSONL files, preserving their relative paths. | |
| - `manifest.json`: counts, checksums, task suite, and shard metadata. | |
| ## Use | |
| Download this dataset, extract the shards with the repository helper, and set the trainer data root to the extracted directory. | |
| ```bash | |
| hf download Jaqen0-0/SafeLoop-Training-Data --repo-type dataset --local-dir $SAFELOOP_DATA | |
| python scripts/materialize_hf_training_data.py --dataset-dir $SAFELOOP_DATA --out $SAFELOOP_DATA/materialized | |
| python scripts/run_release_predictor_training.py --recipe v30_lowdrift_success --data-root $SAFELOOP_DATA/materialized --model-dir $QWEN_MODEL --weights-dir $SAFELOOP_WEIGHTS --output-root $SAFELOOP_OUTPUT | |
| ``` | |
| The base VLA policy and Qwen2.5-VL backbone are not redistributed here. | |