Datasets:

SeonghuJeon
/

3da-unified-data

Tags:

3DA Unified Data Legacy Packed Mirror

This dataset repository used to host a packed bootstrap mirror for the 3DA robotics workspace. The large payloads were intentionally removed to reduce HF storage usage. The local canonical workspace still contains the source data and staged tar files needed to recreate the mirror.

Audit / cleanup date: 2026-05-16.

Removed Payload Layout

SeonghuJeon/3da-unified-data
├── openx_rest_lerobot.tar       # openx_lerobot/lerobot minus droid + _stats + _cache
├── openx_rest_BrunoM42.tar      # openx_lerobot/BrunoM42
├── openx_rest_misc.tar          # openx_lerobot/tailong-wu + HuggingFaceVLA
├── mimicgen.tar                 # data/mimicgen
├── libero_eval.tar              # data/libero eval assets
├── small_files.tar              # checkpoints, model_stats, configs, stats, manifests
├── libero_noop/                 # replayed LIBERO no-op HDF5s
├── _small_files/                # direct convenience copies of selected small files
└── extract.sh

Local Canonical Sources

The payloads can be recreated from the local CVLAB1 workspace:

/NHNHOME/WORKSPACE/0226010404_A/CVLAB/CVLAB1/jisang/
├── data/openx_lerobot/lerobot
├── data/openx_lerobot/_stats
├── data/openx_lerobot/_cache
├── data/openx_lerobot/BrunoM42
├── data/openx_lerobot/tailong-wu
├── data/openx_lerobot/HuggingFaceVLA
├── data/mimicgen
├── data/libero
├── data/libero_noop
├── checkpoints
└── 3DA_unified/
    ├── configs/training
    ├── model_stats
    └── scripts/upload_to_hf.py

At cleanup time, these staged files already existed locally:

/NHNHOME/WORKSPACE/0226010404_A/CVLAB/CVLAB1/jisang/3da_hf_staging/
├── openx_rest_lerobot.tar
├── openx_rest_BrunoM42.tar
├── openx_rest_misc.tar
├── mimicgen.tar
├── libero_eval.tar
├── small_files.tar
└── extract.sh

Recreate / Reupload

Dry-run the local structure and estimated sizes:

cd /NHNHOME/WORKSPACE/0226010404_A/CVLAB/CVLAB1/jisang/3DA_unified
python scripts/upload_to_hf.py --repo-id SeonghuJeon/3da-unified-data --dry-run

Rebuild the tar files from local sources and upload them:

cd /NHNHOME/WORKSPACE/0226010404_A/CVLAB/CVLAB1/jisang/3DA_unified
HF_XET_HIGH_PERFORMANCE=1 python scripts/upload_to_hf.py --force-refresh   --repo-id SeonghuJeon/3da-unified-data

If the tar files in /NHNHOME/.../jisang/3da_hf_staging are still valid and no refresh is needed, upload the staging directory directly:

cd /NHNHOME/WORKSPACE/0226010404_A/CVLAB/CVLAB1/jisang/3DA_unified
HF_XET_HIGH_PERFORMANCE=1 huggingface-cli upload-large-folder   SeonghuJeon/3da-unified-data   /NHNHOME/WORKSPACE/0226010404_A/CVLAB/CVLAB1/jisang/3da_hf_staging   --repo-type dataset

Download If Reuploaded

python scripts/download_3da_unified_data.py   --repo-id SeonghuJeon/3da-unified-data   --project-root /path/to/project   --data-root /path/to/project/data   --staging /path/to/project/3da_hf_staging