region:us
---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': '1540'
          '1': '1593'
          '2': '1602'
          '3': '1607'
          '4': '1623'
          '5': '1630'
          '6': '1631'
          '7': '1633'
          '8': '1634'
          '9': '1635'
          '10': '1636'
          '11': '1637'
          '12': '1638'
          '13': '1639'
          '14': '1640'
          '15': '1641'
          '16': '1643'
          '17': '1648'
          '18': '1656'
          '19': '1661'
          '20': '1662'
          '21': '1664'
          '22': '1665'
          '23': '1670'
          '24': '1675'
          '25': '1681'
          '26': '1683'
          '27': '1688'
          '28': '1689'
          '29': '1690'
          '30': '1691'
          '31': '1695'
          '32': '1704'
          '33': '1710'
          '34': '1714'
          '35': '1716'
          '36': '1717'
          '37': '1718'
          '38': '1719'
          '39': '1720'
          '40': '1721'
          '41': '1722'
          '42': '1723'
          '43': '1724'
          '44': '1725'
          '45': '1727'
          '46': '1728'
          '47': '1729'
          '48': '1730'
          '49': '1731'
          '50': '1732'
          '51': '1733'
          '52': '1734'
          '53': '1735'
          '54': '1736'
          '55': '1737'
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          '57': '1739'
          '58': '1740'
          '59': '1742'
          '60': '1743'
          '61': '1744'
          '62': '1746'
          '63': '1747'
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          '71': '1756'
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          '73': '1759'
          '74': '1760'
          '75': '1761'
          '76': '1762'
          '77': '1765'
          '78': '1766'
          '79': '1767'
          '80': '1768'
          '81': '1769'
          '82': '1770'
          '83': '1771'
          '84': '1772'
          '85': '1773'
          '86': '1774'
          '87': '1775'
          '88': '1776'
          '89': '1777'
          '90': '1778'
          '91': '1780'
          '92': '1781'
          '93': '1782'
          '94': '1783'
          '95': '1785'
          '96': '1787'
          '97': '1788'
          '98': '1789'
          '99': '1791'
          '100': '1792'
          '101': '1794'
          '102': '1795'
          '103': '1796'
          '104': '1797'
          '105': '1798'
          '106': '1800'
          '107': '1801'
          '108': '1802'
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          '110': '1804'
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          '115': '1810'
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          '138': '1834'
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          '148': '1844'
          '149': '1845'
          '150': '1846'
          '151': '1847'
          '152': '1848'
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          '154': '1850'
          '155': '1851'
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          '157': '1853'
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          '161': '1857'
          '162': '1858'
          '163': '1859'
          '164': '1860'
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          '168': '1864'
          '169': '1865'
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          '172': '1868'
          '173': '1869'
          '174': '1870'
          '175': '1871'
          '176': '1872'
          '177': '1873'
          '178': '1874'
          '179': '1875'
          '180': '1876'
          '181': '1877'
          '182': '1878'
          '183': '1879'
          '184': '1880'
          '185': '1881'
          '186': '1882'
          '187': '1883'
          '188': '1884'
          '189': '1885'
          '190': '1886'
          '191': '1887'
          '192': '1888'
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          '194': '1890'
          '195': '1891'
          '196': '1892'
          '197': '1893'
          '198': '1894'
          '199': '1895'
          '200': '1896'
          '201': '1897'
          '202': '1898'
          '203': '1899'
          '204': '1900'
          '205': '1911'
          '206': '1912'
          '207': '1917'
          '208': '1920'
          '209': Unknown
  - name: fname
    dtype: string
  splits:
  - name: train
    num_bytes: 1101727924.0
    num_examples: 10000
  download_size: 0
  dataset_size: 1101727924.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Dataset Card for "embellishments-sample"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)