File size: 14,672 Bytes
96a2e5d | 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 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 | import json, random, shutil, zipfile, time
from pathlib import Path
from datetime import date, timedelta
from PIL import Image, ImageDraw, ImageFont
ROOT = Path('/mnt/data/packaging_slip_donut_dataset')
ZIP_PATH = Path('/mnt/data/packaging_slip_donut_dataset.zip')
SEED = 314159
random.seed(SEED)
SPLIT_SIZES = {'train': 50, 'val': 50, 'test': 50}
# Scaled A4-like page. Good enough for Donut fine-tuning and much faster to render than 150 DPI A4.
W, H = 900, 1272
S = W / 1240.0
def sc(v): return int(round(v * S))
def font_size(v): return max(8, int(round(v * S)))
FONT_REG = '/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf'
FONT_BOLD = '/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf'
FONT_MONO = '/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf'
FONT_SERIF_BOLD = '/usr/share/fonts/truetype/dejavu/DejaVuSerif-Bold.ttf'
def font(path, size): return ImageFont.truetype(path, size=font_size(size))
F = {
'title': font(FONT_SERIF_BOLD, 40), 'h1': font(FONT_BOLD, 25), 'h2': font(FONT_BOLD, 20),
'body': font(FONT_REG, 18), 'small': font(FONT_REG, 16), 'tiny': font(FONT_REG, 14),
'mono': font(FONT_MONO, 17), 'mono_small': font(FONT_MONO, 15), 'table_head': font(FONT_BOLD, 18),
}
SELLERS = [
('Apex Cartons Ltd', '4799 Highland View Drive, Sacramento, CA 95815', '+91-78778-81186'),
('Northline Supplies', '7455 Drew Court, White City, KS 66872', '+91-88390-36062'),
('BluePeak Packaging Co', '214 Pine Ridge Lane, Boulder, CO 80302', '+1-303-555-0194'),
('Crestline Box Works', '8800 Valley Crest Road, Austin, TX 78745', '+1-512-555-0176'),
('MetroWrap Logistics', '1024 Harbor Street, Newark, NJ 07105', '+1-973-555-0182'),
('Pacific Label House', '311 Ocean Park Blvd, San Diego, CA 92109', '+1-619-555-0154'),
('GreenLeaf Cartons', '58 Rosewood Avenue, Portland, OR 97205', '+1-503-555-0141'),
('Summit Packaging Hub', '1700 Market Street, Denver, CO 80202', '+1-720-555-0188'),
('PrimePack Traders', '27 Industrial Estate, Pune, MH 411045', '+91-98810-44231'),
('SilverBox Enterprises', '18 Race Course Road, Chennai, TN 600032', '+91-94444-70981'),
('UrbanCarton Supply', '91 Sector 44 Road, Gurugram, HR 122003', '+91-98122-55340'),
('EverReady Packaging', '301 Lakeside Drive, Madison, WI 53703', '+1-608-555-0139'),
]
CUSTOMERS = [
('Jeff Ritchie Stores', '980 Industrial Road, Hyderabad, TS 500081', '7455 Drew Court, White City, KS 66872'),
('Riverside Retail Group', '72 Market Square, Chennai, TN 600001', '18 Park Street, Pune, MH 411001'),
('Hilltop Office Depot', '140 Cedar Lane, Albany, NY 12207', '500 River Road, Troy, NY 12180'),
('Mason Distribution', '89 Foundry Street, Detroit, MI 48207', '44 Logistics Park, Warren, MI 48089'),
('Nova General Stores', '6 MG Road, Bengaluru, KA 560001', '42 Whitefield Main Road, Bengaluru, KA 560066'),
('Prairie Wholesale', '210 North 8th Street, Omaha, NE 68102', '95 Warehouse Avenue, Lincoln, NE 68508'),
('Sunrise Stationers', '55 Ashok Nagar, Jaipur, RJ 302001', '9 Transport Nagar, Jaipur, RJ 302003'),
('Vertex Home Mart', '312 King Street, Seattle, WA 98104', '810 Depot Road, Tacoma, WA 98421'),
('Canyon Craft Supplies', '460 Mesa Drive, Phoenix, AZ 85004', '77 South Yard Way, Tempe, AZ 85281'),
('Orbit Commerce Pvt Ltd', '404 SG Highway, Ahmedabad, GJ 380015', '22 Narol Industrial Area, Ahmedabad, GJ 382405'),
('OakBridge Market', '15 Elm Street, Boston, MA 02108', '112 Dock Road, Everett, MA 02149'),
('Central Furnishing Co', '100 Broad Avenue, Atlanta, GA 30303', '2300 Freight Drive, Marietta, GA 30060'),
]
ITEMS = [
('Shipping Label Pack', 'LBL-450'), ('Packing Tape', 'TAPE-338'), ('Product Manual', 'MAN-780'),
('Warranty Card', 'WAR-110'), ('Invoice Copy', 'INV-COPY'), ('Plastic Sleeve', 'SLV-890'),
('Printed Carton', 'CRT-670'), ('Ad Design', 'AD-DES-003'), ('Foam Insert', 'FOM-560'),
('Barcode Sticker Roll', 'BAR-244'), ('Fragile Label Set', 'FRG-112'), ('Bubble Wrap Roll', 'BUB-908'),
('Corrugated Divider', 'DIV-731'), ('Return Label Sheet', 'RTN-509'), ('Custom Poly Mailer', 'POLY-620'),
('Die Cut Insert', 'DCI-725'), ('Pallet Label Card', 'PAL-318'), ('Security Seal Strip', 'SEC-401'),
('Mailer Box Small', 'MBOX-SM'), ('Mailer Box Large', 'MBOX-LG'), ('Kraft Paper Roll', 'KRAFT-221'),
('Thermal Label Roll', 'THR-612'), ('Corner Protector', 'CRN-019'), ('Documentation Pouch', 'DOC-872'),
('Hang Tag Bundle', 'TAG-149'), ('Instruction Leaflet', 'LEAF-557'), ('Packing Slip Copy', 'PSC-391'),
('Gift Wrap Sheet', 'GFT-812'), ('Logo Sticker Pack', 'LOGO-754'), ('Moisture Guard Bag', 'MGB-309'),
]
NOTES = ['Partial shipment allowed', 'Handle cartons with care', 'Deliver during business hours', 'Use dock entrance for unloading', 'Customer signature required', 'Keep goods dry during transit', 'Verify carton count before dispatch', 'Shipment can be split by item line', 'Do not stack above five cartons', 'Priority delivery requested', 'Attach invoice copy to shipment', 'Contact buyer before final delivery']
PRICES = [10, 12, 15, 20, 25, 30, 40, 50, 60, 75, 90, 100, 125, 150, 175, 200, 225, 250]
def clean_dir(path):
if path.exists(): shutil.rmtree(path)
path.mkdir(parents=True, exist_ok=True)
def text(draw, xy, value, fnt, fill=(25,25,25)):
draw.text((sc(xy[0]), sc(xy[1])), str(value), font=fnt, fill=fill)
def line(draw, coords, fill=(70,70,70), width=1):
draw.line([sc(v) for v in coords], fill=fill, width=max(1, sc(width)))
def rect(draw, coords, outline=(70,70,70), width=1):
draw.rectangle([sc(v) for v in coords], outline=outline, width=max(1, sc(width)))
def wrapped(draw, xy, value, fnt, max_width, line_gap=4, fill=(25,25,25)):
words = str(value).split()
lines, current = [], ''
maxw = sc(max_width)
for w in words:
cand = (current + ' ' + w).strip()
bb = draw.textbbox((0,0), cand, font=fnt)
if bb[2] - bb[0] <= maxw or not current:
current = cand
else:
lines.append(current); current = w
if current: lines.append(current)
x, y = xy
lh = (draw.textbbox((0,0), 'Ag', font=fnt)[3] + sc(line_gap)) / S
for ln in lines:
text(draw, (x, y), ln, fnt, fill)
y += lh
return y
def generate_record(global_idx):
seller = random.choice(SELLERS); customer = random.choice(CUSTOMERS)
order_date = date(2026,1,15) + timedelta(days=random.randint(0,330))
n_items = random.randint(3,8)
rows=[]; qty_sum=0; subtotal=0
for sr,(desc,sku) in enumerate(random.sample(ITEMS, n_items), 1):
qty=random.randint(1,20); unit=random.choice(PRICES); total=qty*unit
qty_sum += qty; subtotal += total
rows.append({'sr_no':str(sr),'item_description':desc,'sku':sku,'quantity':str(qty),'unit_price':str(unit),'total_price':str(total)})
tax=random.choice([0,0,0,50,100,125,150,200]); freight=random.choice([0,50,75,100,125,150,200,250,300])
return {
'seller': {'company_name': seller[0], 'address': seller[1], 'phone_number': seller[2]},
'buyer': {'bill_to_name': customer[0], 'bill_to_address': customer[1], 'ship_to_name': customer[0], 'ship_to_address': customer[2]},
'document': {'package_number': f'PKG{global_idx:05d}', 'order_date': order_date.isoformat(), 'sales_order_number': str(random.randint(500000,599999)), 'po_number': f'PO-{random.randint(30000,69999)}'},
'items': rows,
'summary': {'total_quantity': str(qty_sum), 'sub_total': str(subtotal), 'tax': str(tax), 'freight': str(freight), 'grand_total': str(subtotal+tax+freight)},
'notes': random.choice(NOTES),
}
def to_donut_sequence(obj):
def tok(k,v): return f'<s_{k}>{v}</s_{k}>'
seq = '<s_packaging>'
for sec in ['seller','buyer','document']:
seq += f'<s_{sec}>' + ''.join(tok(k,v) for k,v in obj[sec].items()) + f'</s_{sec}>'
seq += '<s_items>'
for item in obj['items']:
seq += '<s_item>' + ''.join(tok(k,item[k]) for k in ['sr_no','item_description','sku','quantity','unit_price','total_price']) + '</s_item>'
seq += '</s_items><s_summary>'
seq += ''.join(tok(k,obj['summary'][k]) for k in ['total_quantity','sub_total','tax','freight','grand_total'])
seq += '</s_summary>' + tok('notes', obj['notes']) + '</s_packaging>'
return seq
def validate(obj):
qty=sum(int(i['quantity']) for i in obj['items']); subtotal=sum(int(i['total_price']) for i in obj['items'])
assert qty == int(obj['summary']['total_quantity'])
assert subtotal == int(obj['summary']['sub_total'])
assert subtotal + int(obj['summary']['tax']) + int(obj['summary']['freight']) == int(obj['summary']['grand_total'])
for i,row in enumerate(obj['items'],1):
assert row['sr_no'] == str(i)
assert int(row['quantity']) * int(row['unit_price']) == int(row['total_price'])
def render(obj, out_path):
paper=random.choice([(255,255,255),(253,253,251),(252,253,255)])
img=Image.new('RGB',(W,H),paper); d=ImageDraw.Draw(img)
black=(25,25,25); light=(226,226,226)
rect(d,[50,50,1190,1704],width=2); rect(d,[62,62,1178,1692],outline=(230,230,230))
text(d,(70,92),'PACKAGE SLIP',F['title']); text(d,(740,100),f"Package# - {obj['document']['package_number']}",F['h2'])
y=170; text(d,(70,y),obj['seller']['company_name'],F['h2']); y=wrapped(d,(70,y+32),obj['seller']['address'],F['small'],620); text(d,(70,y+3),obj['seller']['phone_number'],F['small'])
y=300; xs=[70,365,655,940]; labs=['Package #','Order Date #','Sales Order #','PO #']; vals=[obj['document']['package_number'],obj['document']['order_date'],obj['document']['sales_order_number'],obj['document']['po_number']]
for x,lab,val in zip(xs,labs,vals): text(d,(x,y),lab,F['h2']); text(d,(x,y+36),val,F['small'])
line(d,[70,405,1170,405],width=2)
text(d,(70,445),'Bill To:',F['h2']); text(d,(70,483),obj['buyer']['bill_to_name'],F['small']); wrapped(d,(70,508),obj['buyer']['bill_to_address'],F['small'],430)
text(d,(635,445),'Ship To:',F['h2']); text(d,(635,483),obj['buyer']['ship_to_name'],F['small']); wrapped(d,(635,508),obj['buyer']['ship_to_address'],F['small'],430)
line(d,[70,620,1170,620],width=2)
y=650; cols={'sr':70,'desc':155,'sku':565,'qty':750,'unit':875,'total':1050}
for key,label in [('sr','SR No.'),('desc','ITEM DESCRIPTION'),('sku','SKU'),('qty','QTY'),('unit','UNIT PRICE'),('total','TOTAL')]: text(d,(cols[key],y),label,F['table_head'])
line(d,[70,y+34,1170,y+34])
row_y=y+58
for item in obj['items']:
text(d,(cols['sr'],row_y),item['sr_no'],F['mono_small']); text(d,(cols['desc'],row_y),item['item_description'],F['small']); text(d,(cols['sku'],row_y),item['sku'],F['mono_small'])
text(d,(cols['qty']+18,row_y),item['quantity'],F['mono_small']); text(d,(cols['unit'],row_y),item['unit_price'],F['mono_small']); text(d,(cols['total'],row_y),item['total_price'],F['mono_small'])
row_y += 36
bottom=max(row_y+20,930); line(d,[70,bottom,1170,bottom],fill=light)
sy=bottom+34
for lab,key in [('Total Qty','total_quantity'),('Sub Total','sub_total'),('Tax','tax'),('Freight','freight'),('Grand Total','grand_total')]:
f=F['h2'] if lab=='Grand Total' else F['small']; text(d,(770,sy),lab,f); text(d,(1015,sy),obj['summary'][key],f); sy += 35
ny=max(bottom+210,1210); text(d,(70,ny),'Notes:',F['h2']); text(d,(70,ny+34),obj['notes'],F['small'])
if random.random()<0.25:
x=random.randint(sc(90),sc(1150)); d.line([x,sc(60),x,sc(1690)],fill=(238,238,238),width=1)
img.save(out_path, format='PNG', compress_level=1)
def write_readme(root):
readme = """# Synthetic Packaging Slip Donut Dataset
Synthetic packaging slip dataset for Donut fine-tuning.
## Contents
- `train`: 50 PNG images + labels
- `val`: 50 PNG images + labels
- `test`: 50 PNG images + labels
- Total: 150 images
Each split has:
- `metadata.jsonl`: Donut/imagefolder-ready metadata. `ground_truth` is a JSON string containing `gt_parse`.
- `annotations_with_sequences.jsonl`: structured JSON plus a pre-built Donut target sequence.
- `annotations.json`: pretty JSON version for inspection.
## Schema
```json
{
"packaging": {
"seller": {"company_name": "", "address": "", "phone_number": ""},
"buyer": {"bill_to_name": "", "bill_to_address": "", "ship_to_name": "", "ship_to_address": ""},
"document": {"package_number": "", "order_date": "", "sales_order_number": "", "po_number": ""},
"items": [{"sr_no": "", "item_description": "", "sku": "", "quantity": "", "unit_price": "", "total_price": ""}],
"summary": {"total_quantity": "", "sub_total": "", "tax": "", "freight": "", "grand_total": ""},
"notes": ""
}
}
```
## Load with Hugging Face datasets
```python
from datasets import load_dataset
dataset = load_dataset("imagefolder", data_dir="packaging_slip_donut_dataset")
print(dataset)
```
All records are synthetic. Totals are validated during generation.
"""
(root/'README.md').write_text(readme,encoding='utf-8')
def main():
t0=time.time(); clean_dir(ROOT); global_idx=1
info={'name':'synthetic_packaging_slip_donut_dataset','version':'1.0.0','splits':SPLIT_SIZES,'total_images':sum(SPLIT_SIZES.values()),'schema_root':'packaging','seed':SEED}
for split,count in SPLIT_SIZES.items():
sd=ROOT/split; sd.mkdir(parents=True,exist_ok=True); metas=[]; seqs=[]; records=[]
for _ in range(count):
obj=generate_record(global_idx); validate(obj); fname=f'package_{global_idx:05d}.png'; render(obj,sd/fname)
sequence=to_donut_sequence(obj); gt={'gt_parse':{'packaging':obj}}
metas.append(json.dumps({'file_name':fname,'ground_truth':json.dumps(gt,ensure_ascii=False)},ensure_ascii=False))
rec={'file_name':fname,'split':split,'ground_truth':{'packaging':obj},'target_sequence':sequence}
seqs.append(json.dumps(rec,ensure_ascii=False)); records.append(rec); global_idx += 1
(sd/'metadata.jsonl').write_text('\n'.join(metas)+'\n',encoding='utf-8')
(sd/'annotations_with_sequences.jsonl').write_text('\n'.join(seqs)+'\n',encoding='utf-8')
(sd/'annotations.json').write_text(json.dumps(records,ensure_ascii=False,indent=2),encoding='utf-8')
(ROOT/'dataset_info.json').write_text(json.dumps(info,indent=2),encoding='utf-8'); write_readme(ROOT)
if ZIP_PATH.exists(): ZIP_PATH.unlink()
with zipfile.ZipFile(ZIP_PATH,'w',compression=zipfile.ZIP_STORED) as z:
for p in ROOT.rglob('*'): z.write(p,arcname=p.relative_to(ROOT.parent))
print('created',ZIP_PATH,'in',round(time.time()-t0,2),'sec')
if __name__=='__main__': main()
|