File size: 3,194 Bytes
51632a9 1235883 51632a9 5d495c4 51632a9 5d495c4 4158e7f be9e4c5 51632a9 be9e4c5 51632a9 1235883 51632a9 5d495c4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 | ---
pretty_name: VLAC-Cut-FullData
tags:
- robotics
- video-progress
- benchmark
- embodied-ai
license: other
---
# VLAC-Cut-FullData
VLAC-Cut-FullData is the full-data release for VLAC-Cut. It provides the complete raw-data archive set, benchmark-style JSON files, and a lightweight frame-extraction workflow for reproducing evaluation on the released benchmark protocol.
## Contents
```text
benchmark_style_all/
train/video_progress_benchmark_file.json
test_expert_seen/video_progress_benchmark_file.json
test_expert_unseen/video_progress_benchmark_file.json
test_nonexpert_seen/video_progress_benchmark_file.json
test_nonexpert_unseen/video_progress_benchmark_file.json
all/video_progress_benchmark_file.json
scripts/
unpack_data.sh
extract_vlac2_release_frames.py
annotation_files_raw/
0106/
0109/
0116/
1231/
dataset_ver/
hfx_project-1/
refine_data/
data/
vlac2_release_data_part01_arx_group_a.tar.zst.part-*
vlac2_release_data_part02_arx_group_b.tar.zst.part-*
vlac2_release_data_part03_arx_group_c.tar.zst.part-*
vlac2_release_data_part04_droid_group_a.tar.zst.part-*
vlac2_release_data_part05_droid_group_b.tar.zst.part-*
vlac2_release_data_part06_droid_group_c.tar.zst.part-*
vlac2_release_data_part07_other_sources.tar.zst
```
## Usage
### 1. Unpack the raw-data archives
```bash
bash scripts/unpack_data.sh /path/to/data
```
Several large archives are distributed as multi-part files to satisfy Hub file-size limits. `unpack_data.sh` detects these parts automatically and streams them into a single extraction pass.
### 2. Extract frames
To extract frames only for one or more selected benchmark JSON files:
```bash
python scripts/extract_vlac2_release_frames.py \
--data-root /path/to/data \
--frames-root /path/to/data_extracted_frames \
--benchmark-json benchmark_style_all/test_expert_seen/video_progress_benchmark_file.json
```
This decodes only the episodes referenced by the provided benchmark JSON file(s), rather than scanning the full raw-data release.
If `--benchmark-json` is omitted, the extractor scans all benchmark JSON files under `benchmark_style_all/`, collects all referenced records, and extracts the corresponding `main_path` videos:
```bash
python scripts/extract_vlac2_release_frames.py \
--data-root /path/to/data \
--frames-root /path/to/data_extracted_frames
```
### 3. Use the benchmark JSON files
Frame paths in the benchmark JSON files use the prefix:
```text
__VLAC2_FRAMES_ROOT__/
```
Replace `__VLAC2_FRAMES_ROOT__` with the absolute path to the extracted-frame directory.
## Notes
* This release contains the complete raw-data archive set used by the VLAC-Cut benchmark release workflow.
* `annotation_files_raw/` mirrors the original raw annotation JSON tree used during benchmark construction.
* The `benchmark_style_all/all` split is larger than the benchmark evaluation subsets and is rebuilt from the full annotation PKL source tree.
* The benchmark JSON files are pre-generated and do not need to be rebuilt for standard use.
* The large raw-data archives are distributed as split `.part-*` files in `data/`; these are unpacked transparently by the provided script.
|