Agregar sección dataset

README.md

@@ -34,6 +34,240 @@ task_ids:
 En esta actividad intentaremos resolver un problema de clasificación multimodal. En un problema de clasificación multimodal, cada pieza de información viene en diferentes representaciones (imágenes, texto, audios, etc) y la idea es determinar cómo usar esos datos para un problema de clasificación.
 En este caso trabajaremos con un dataset que contiene datos sobre especies de pájaros.
 
+## Dataset
+
+
+### Data Instances
+
+Una muestra del _dataset_ se encuentra a continuación:
+
+```
+{'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=334x500 at 0x7F59DE348AF0>,
+ 'description': 'this bird has a short orange bill, white breast and body and white eyes.\na medium sized bird with a orange bill and a black crown and white eyes\nthis white-breasted bird has a short, squat, orange bill, a black head and wings, and small white eyes above a white stripe.\nthis bird has a white breast, a black head, a short red beak, and webbed feet.\nthis bird is white with black on its neck and has a long, pointy beak.\nthis bird has wings that are black and has a white belly\nthis bird has wings that are black and has a long bill\nthis is a medium sized bird, with a white belly, and a grey head and wings, with a short yellow bill.\nthis bird is white and gray in color, and has a bright orange beak.\nthis bird has a blunt orange beak with mostly black above the neck, the belly is solid white.\n',
+ 'label': 6,
+ 'file_name': 'Parakeet_Auklet_0048_795980.jpg'}
+```
+
+### Data Fields
+
+Cada instancia de datos tiene los siguientes campos:
+
+- `image`: imagen RGB de un pájaro
+- `description`: texto con 10 descripciones del pájaro en la foto, cada descripción esta separado por un salto de linea (i.e. `\n`)
+- `label`: un número entero que representa el id de la especie a la que pertenece el pájaro
+<details>
+  <summary>Id2String</summary>
+  ```txt
+  1 001.Black_footed_Albatross
+  2 002.Laysan_Albatross
+  3 003.Sooty_Albatross
+  4 004.Groove_billed_Ani
+  5 005.Crested_Auklet
+  6 006.Least_Auklet
+  7 007.Parakeet_Auklet
+  8 008.Rhinoceros_Auklet
+  9 009.Brewer_Blackbird
+  10 010.Red_winged_Blackbird
+  11 011.Rusty_Blackbird
+  12 012.Yellow_headed_Blackbird
+  13 013.Bobolink
+  14 014.Indigo_Bunting
+  15 015.Lazuli_Bunting
+  16 016.Painted_Bunting
+  17 017.Cardinal
+  18 018.Spotted_Catbird
+  19 019.Gray_Catbird
+  20 020.Yellow_breasted_Chat
+  21 021.Eastern_Towhee
+  22 022.Chuck_will_Widow
+  23 023.Brandt_Cormorant
+  24 024.Red_faced_Cormorant
+  25 025.Pelagic_Cormorant
+  26 026.Bronzed_Cowbird
+  27 027.Shiny_Cowbird
+  28 028.Brown_Creeper
+  29 029.American_Crow
+  30 030.Fish_Crow
+  31 031.Black_billed_Cuckoo
+  32 032.Mangrove_Cuckoo
+  33 033.Yellow_billed_Cuckoo
+  34 034.Gray_crowned_Rosy_Finch
+  35 035.Purple_Finch
+  36 036.Northern_Flicker
+  37 037.Acadian_Flycatcher
+  38 038.Great_Crested_Flycatcher
+  39 039.Least_Flycatcher
+  40 040.Olive_sided_Flycatcher
+  41 041.Scissor_tailed_Flycatcher
+  42 042.Vermilion_Flycatcher
+  43 043.Yellow_bellied_Flycatcher
+  44 044.Frigatebird
+  45 045.Northern_Fulmar
+  46 046.Gadwall
+  47 047.American_Goldfinch
+  48 048.European_Goldfinch
+  49 049.Boat_tailed_Grackle
+  50 050.Eared_Grebe
+  51 051.Horned_Grebe
+  52 052.Pied_billed_Grebe
+  53 053.Western_Grebe
+  54 054.Blue_Grosbeak
+  55 055.Evening_Grosbeak
+  56 056.Pine_Grosbeak
+  57 057.Rose_breasted_Grosbeak
+  58 058.Pigeon_Guillemot
+  59 059.California_Gull
+  60 060.Glaucous_winged_Gull
+  61 061.Heermann_Gull
+  62 062.Herring_Gull
+  63 063.Ivory_Gull
+  64 064.Ring_billed_Gull
+  65 065.Slaty_backed_Gull
+  66 066.Western_Gull
+  67 067.Anna_Hummingbird
+  68 068.Ruby_throated_Hummingbird
+  69 069.Rufous_Hummingbird
+  70 070.Green_Violetear
+  71 071.Long_tailed_Jaeger
+  72 072.Pomarine_Jaeger
+  73 073.Blue_Jay
+  74 074.Florida_Jay
+  75 075.Green_Jay
+  76 076.Dark_eyed_Junco
+  77 077.Tropical_Kingbird
+  78 078.Gray_Kingbird
+  79 079.Belted_Kingfisher
+  80 080.Green_Kingfisher
+  81 081.Pied_Kingfisher
+  82 082.Ringed_Kingfisher
+  83 083.White_breasted_Kingfisher
+  84 084.Red_legged_Kittiwake
+  85 085.Horned_Lark
+  86 086.Pacific_Loon
+  87 087.Mallard
+  88 088.Western_Meadowlark
+  89 089.Hooded_Merganser
+  90 090.Red_breasted_Merganser
+  91 091.Mockingbird
+  92 092.Nighthawk
+  93 093.Clark_Nutcracker
+  94 094.White_breasted_Nuthatch
+  95 095.Baltimore_Oriole
+  96 096.Hooded_Oriole
+  97 097.Orchard_Oriole
+  98 098.Scott_Oriole
+  99 099.Ovenbird
+  100 100.Brown_Pelican
+  101 101.White_Pelican
+  102 102.Western_Wood_Pewee
+  103 103.Sayornis
+  104 104.American_Pipit
+  105 105.Whip_poor_Will
+  106 106.Horned_Puffin
+  107 107.Common_Raven
+  108 108.White_necked_Raven
+  109 109.American_Redstart
+  110 110.Geococcyx
+  111 111.Loggerhead_Shrike
+  112 112.Great_Grey_Shrike
+  113 113.Baird_Sparrow
+  114 114.Black_throated_Sparrow
+  115 115.Brewer_Sparrow
+  116 116.Chipping_Sparrow
+  117 117.Clay_colored_Sparrow
+  118 118.House_Sparrow
+  119 119.Field_Sparrow
+  120 120.Fox_Sparrow
+  121 121.Grasshopper_Sparrow
+  122 122.Harris_Sparrow
+  123 123.Henslow_Sparrow
+  124 124.Le_Conte_Sparrow
+  125 125.Lincoln_Sparrow
+  126 126.Nelson_Sharp_tailed_Sparrow
+  127 127.Savannah_Sparrow
+  128 128.Seaside_Sparrow
+  129 129.Song_Sparrow
+  130 130.Tree_Sparrow
+  131 131.Vesper_Sparrow
+  132 132.White_crowned_Sparrow
+  133 133.White_throated_Sparrow
+  134 134.Cape_Glossy_Starling
+  135 135.Bank_Swallow
+  136 136.Barn_Swallow
+  137 137.Cliff_Swallow
+  138 138.Tree_Swallow
+  139 139.Scarlet_Tanager
+  140 140.Summer_Tanager
+  141 141.Artic_Tern
+  142 142.Black_Tern
+  143 143.Caspian_Tern
+  144 144.Common_Tern
+  145 145.Elegant_Tern
+  146 146.Forsters_Tern
+  147 147.Least_Tern
+  148 148.Green_tailed_Towhee
+  149 149.Brown_Thrasher
+  150 150.Sage_Thrasher
+  151 151.Black_capped_Vireo
+  152 152.Blue_headed_Vireo
+  153 153.Philadelphia_Vireo
+  154 154.Red_eyed_Vireo
+  155 155.Warbling_Vireo
+  156 156.White_eyed_Vireo
+  157 157.Yellow_throated_Vireo
+  158 158.Bay_breasted_Warbler
+  159 159.Black_and_white_Warbler
+  160 160.Black_throated_Blue_Warbler
+  161 161.Blue_winged_Warbler
+  162 162.Canada_Warbler
+  163 163.Cape_May_Warbler
+  164 164.Cerulean_Warbler
+  165 165.Chestnut_sided_Warbler
+  166 166.Golden_winged_Warbler
+  167 167.Hooded_Warbler
+  168 168.Kentucky_Warbler
+  169 169.Magnolia_Warbler
+  170 170.Mourning_Warbler
+  171 171.Myrtle_Warbler
+  172 172.Nashville_Warbler
+  173 173.Orange_crowned_Warbler
+  174 174.Palm_Warbler
+  175 175.Pine_Warbler
+  176 176.Prairie_Warbler
+  177 177.Prothonotary_Warbler
+  178 178.Swainson_Warbler
+  179 179.Tennessee_Warbler
+  180 180.Wilson_Warbler
+  181 181.Worm_eating_Warbler
+  182 182.Yellow_Warbler
+  183 183.Northern_Waterthrush
+  184 184.Louisiana_Waterthrush
+  185 185.Bohemian_Waxwing
+  186 186.Cedar_Waxwing
+  187 187.American_Three_toed_Woodpecker
+  188 188.Pileated_Woodpecker
+  189 189.Red_bellied_Woodpecker
+  190 190.Red_cockaded_Woodpecker
+  191 191.Red_headed_Woodpecker
+  192 192.Downy_Woodpecker
+  193 193.Bewick_Wren
+  194 194.Cactus_Wren
+  195 195.Carolina_Wren
+  196 196.House_Wren
+  197 197.Marsh_Wren
+  198 198.Rock_Wren
+  199 199.Winter_Wren
+  200 200.Common_Yellowthroat
+  ```
+</details>
+- `file_name`: nombre del archivo que tiene la imagen
+
+### Data Splits
+ 
+|             |train| test|
+|-------------|----:|----:|
+|# of examples|5994|5794|
+
 ## Problema
 
 El problema consiste en entrenar un modelo que clasifique instancias del dataset CUB de la mejor manera posible. Algunas preguntas que podrían guiar nuestro desarrollo son: