Datasets:

kahua-ml
/

serial_number_dataset

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: image
      dtype: image
    - name: serial_number
      dtype: string
    - name: toughness
      dtype: int64
  splits:
    - name: train
      num_bytes: 6074617
      num_examples: 55
  download_size: 6059493
  dataset_size: 6074617

import requests
import io
import json
import datasets
import huggingface_hub

huggingface_hub.login(HF_TOKEN)
ds = datasets.load_dataset('kahua-ml/serial_number_dataset')['train']

headers = {
    'accept': 'application/json',
}

# Convert PIL Image to bytes
image_buffer = io.BytesIO()
ds[0]['image'].save(image_buffer, format='JPEG')
image_buffer.seek(0)

fields = [
    {"field_mapping":"serial_number","field_name":"serial_number","field_type":"text"},
]

files = {
    'file': ('image.jpg', image_buffer, 'image/jpeg'),
    'input': (None, '{"domain_id":"domain456","fields":' + json.dumps(fields) + ',"user_id":"user123"}'),
}

response = requests.post(
    AZURE_URL,
    headers=headers,
    files=files,
)

dataset_info: features: - name: image dtype: image - name: serial_number dtype: string splits: - name: train num_bytes: 8858770.0 num_examples: 61 download_size: 8670997 dataset_size: 8858770.0 configs: - config_name: default data_files: - split: train path: data/train-*