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55035aa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | """Portable local EmbodiedTrace loader. Python standard library only."""
import json
from pathlib import Path
from zipfile import ZipFile
SPLITS=('train','validation','test')
def iter_decisions(root, split='train'):
if split not in SPLITS:raise ValueError(f'split must be one of {SPLITS}')
with (Path(root)/'data'/f'{split}.jsonl').open(encoding='utf-8') as source:
for line in source:
if line.strip():yield json.loads(line)
def extract_media(root, kind='images'):
if kind not in ('images','videos'):raise ValueError('kind must be images or videos')
root=Path(root).resolve()
with ZipFile(root/'media'/f'{kind}.zip') as archive:
for name in archive.namelist():
target=(root/name).resolve()
if not target.is_relative_to(root):raise ValueError('Unsafe archive path')
archive.extractall(root)
return root/kind
if __name__=='__main__':
import argparse
parser=argparse.ArgumentParser();parser.add_argument('root');parser.add_argument('--split',default='train');args=parser.parse_args()
row=next(iter_decisions(args.root,args.split));print(json.dumps({'episode':row['episode_id'],'subgoal':row['generated_annotation']['subgoal']['title'],'action':row['action']},indent=2))
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