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Datasets:
james-burton
/
OrientalMuseum_min6-3Dwhite-mat

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  1. README.md +201 -0
  2. data/test-00000-of-00002.parquet +3 -0
  3. data/test-00001-of-00002.parquet +3 -0
  4. data/train-00000-of-00011.parquet +3 -0
  5. data/train-00001-of-00011.parquet +3 -0
  6. data/train-00002-of-00011.parquet +3 -0
  7. data/train-00003-of-00011.parquet +3 -0
  8. data/train-00004-of-00011.parquet +3 -0
  9. data/train-00005-of-00011.parquet +3 -0
  10. data/train-00006-of-00011.parquet +3 -0
  11. data/train-00007-of-00011.parquet +3 -0
  12. data/train-00008-of-00011.parquet +3 -0
  13. data/train-00009-of-00011.parquet +3 -0
  14. data/train-00010-of-00011.parquet +3 -0
  15. data/validation-00000-of-00002.parquet +3 -0
  16. data/validation-00001-of-00002.parquet +3 -0
README.md ADDED
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+ ---
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+ dataset_info:
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+ features:
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+ - name: obj_num
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+ dtype: string
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+ - name: file
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+ dtype: string
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+ - name: image
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+ dtype: image
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+ - name: root
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+ dtype: string
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+ - name: description
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+ dtype: string
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+ - name: object_name
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+ dtype: string
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+ - name: other_name
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+ dtype: string
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+ - name: label
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+ dtype:
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+ class_label:
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+ names:
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+ '0': Animal Mummy
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+ '1': Batik
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+ '2': Buffalo Horn
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+ '3': Chinese Red Rosewood
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+ '4': Colour on Paper
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+ '5': Flint/Chert
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+ '6': Gouache on Paper
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+ '7': Haematite/Red Ochre
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+ '8': Human Bone
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+ '9': Ink and Colour on Paper
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+ '10': Ink and Colours on Silk
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+ '11': Ink and Opaque Watercolour on Paper
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+ '12': Ink on Paper
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+ '13': Jade (Calcified)
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+ '14': Japanese paper
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+ '15': Microcline/Green Feldspar/Amazon-Stone
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+ '16': Nile Mud
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+ '17': Opaque Watercolour on Paper
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+ '18': Opaque Watercolour or Gouache on Mica
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+ '19': Pith
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+ '20': Pith Paper
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+ '21': Plant Product
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+ '22': Resin/Plastic
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+ '23': Rhinoceros Horn
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+ '24': Smaragdite
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+ '25': Steatite
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+ '26': Steatite/Soap Stone
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+ '27': Watercolour on Rice Paper
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+ '28': acrylic
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+ '29': agate
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+ '30': alabaster
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+ '31': aluminum
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+ '32': amber
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+ '33': amethyst
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+ '34': antler
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+ '35': artificial stone
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+ '36': bamboo
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+ '37': basalt
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+ '38': bone
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+ '39': bowenite
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+ '40': boxwood
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+ '41': brass
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+ '42': brocade
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+ '43': bronze
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+ '44': burnt jade
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+ '45': canvas
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+ '46': cardboard
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+ '47': cards
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+ '48': carnelian
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+ '49': cast iron
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+ '50': celadon
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+ '51': cellulose acetate
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+ '52': ceramic
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+ '53': chalcedony
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+ '54': cherry
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+ '55': clay
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+ '56': coconut
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+ '57': copper
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+ '58': copper alloy
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+ '59': coral
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+ '60': cotton
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+ '61': crystal
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+ '62': diorite
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+ '64': ebony
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+ '65': emerald
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+ '66': enamel
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+ '67': faience
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+ '68': flax
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+ '69': flint
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+ '70': gauze
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+ '71': glass
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+ '72': gold
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+ '73': granite
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+ '74': gray ware
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+ '75': hardwood
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+ '76': horn
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+ '77': incense
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+ '78': ink
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+ '79': iron
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+ '80': ivory
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+ '81': jade
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+ '82': jadeite
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+ '83': jasper
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+ '84': lacquer
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+ '85': lapis lazuli
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+ '86': lead
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+ '87': lead alloy
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+ '88': leather
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+ '89': limestone
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+ '90': linen
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+ '91': malachite
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+ '92': marble
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+ '93': metal
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+ '94': mineral
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+ '95': mother of pearl
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+ '96': nephrite
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+ '97': nylon
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+ '98': obsidian
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+ '99': organic material
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+ '100': paint
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+ '101': palm fiber
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+ '102': palm leaf
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+ '103': paper
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+ '104': papier mâché
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+ '105': papyrus
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+ '106': pewter
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+ '107': photographic paper
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+ '108': pine
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+ '109': plant fiber
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+ '110': plaster
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+ '111': plastic
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+ '112': plate
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+ '113': polyester
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+ '114': polystyrene
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+ '115': porcelain
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+ '116': pottery
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+ '117': quartzite
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+ '118': rattan
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+ '119': realgar
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+ '120': reed
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+ '121': rice paper
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+ '122': rock
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+ '123': rush
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+ '124': sandstone
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+ '125': satin
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+ '126': schist
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+ '127': seashell
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+ '128': serpentine
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+ '129': shell
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+ '130': silk
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+ '131': silver
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+ '132': slate
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+ '133': soapstone
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+ '134': softwood
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+ '135': steel
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+ '136': stone
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+ '137': stoneware
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+ '138': stucco
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+ '139': sycamore
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+ '140': synthetic fiber
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+ '141': teak
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+ '142': terracotta
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+ '143': textiles
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+ '144': tin
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+ '145': tortoise shell
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+ '146': travertine
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+ '147': tremolite
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+ '148': turquoise
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+ '149': velvet
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+ '150': wood
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+ '151': wool
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+ '152': wrought iron
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+ '153': zinc alloy
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+ - name: production.period
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+ dtype: string
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+ - name: production.place
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+ dtype: string
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+ splits:
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+ - name: validation
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+ num_bytes: 676051498.288
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+ num_examples: 5416
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+ - name: train
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+ num_bytes: 5401733376.12
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+ num_examples: 115070
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+ download_size: 6301924880
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+ dataset_size: 6732259992.6
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: validation
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+ path: data/validation-*
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+ - split: test
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+ path: data/test-*
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+ - split: train
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+ path: data/train-*
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+ ---
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