---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: masks
    sequence:
      image:
        mode: L
  - name: raw
    dtype: string
  - name: sent
    dtype: string
  - name: tokens
    sequence: string
  - name: file_name
    dtype: string
  - name: no_target
    dtype: bool
  - name: split
    dtype: string
  - name: height
    dtype: int64
  - name: width
    dtype: int64
  - name: flickr_url
    dtype: string
  - name: annotations
    list:
    - name: area
      dtype: float64
    - name: bbox
      sequence: float64
    - name: image_id
      dtype: int64
    - name: iscrowd
      dtype: int64
  - name: category
    sequence:
      class_label:
        names:
          '0': person
          '1': bicycle
          '2': car
          '3': motorcycle
          '4': airplane
          '5': bus
          '6': train
          '7': truck
          '8': boat
          '9': traffic light
          '10': fire hydrant
          '11': stop sign
          '12': parking meter
          '13': bench
          '14': bird
          '15': cat
          '16': dog
          '17': horse
          '18': sheep
          '19': cow
          '20': elephant
          '21': bear
          '22': zebra
          '23': giraffe
          '24': backpack
          '25': umbrella
          '26': handbag
          '27': tie
          '28': suitcase
          '29': frisbee
          '30': skis
          '31': snowboard
          '32': sports ball
          '33': kite
          '34': baseball bat
          '35': baseball glove
          '36': skateboard
          '37': surfboard
          '38': tennis racket
          '39': bottle
          '40': wine glass
          '41': cup
          '42': fork
          '43': knife
          '44': spoon
          '45': bowl
          '46': banana
          '47': apple
          '48': sandwich
          '49': orange
          '50': broccoli
          '51': carrot
          '52': hot dog
          '53': pizza
          '54': donut
          '55': cake
          '56': chair
          '57': couch
          '58': potted plant
          '59': bed
          '60': dining table
          '61': toilet
          '62': tv
          '63': laptop
          '64': mouse
          '65': remote
          '66': keyboard
          '67': cell phone
          '68': microwave
          '69': oven
          '70': toaster
          '71': sink
          '72': refrigerator
          '73': book
          '74': clock
          '75': vase
          '76': scissors
          '77': teddy bear
          '78': hair drier
          '79': toothbrush
  splits:
  - name: testB
    num_bytes: 2742257686.209
    num_examples: 14933
  - name: val
    num_bytes: 3040664347.83
    num_examples: 16870
  - name: testA
    num_bytes: 3436268315.104
    num_examples: 18712
  - name: train
    num_bytes: 41538236305.96
    num_examples: 209344
  download_size: 4026203358
  dataset_size: 50757426655.103
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: testB
    path: data/testB-*
  - split: val
    path: data/val-*
  - split: testA
    path: data/testA-*
  
---

gRefCOCO