Datasetpublic

initiacms/OmniEarth-Bench_MCQ

Dataset Summary Each example provides: Field Type Description index int32 Row ID query string Prompt that embeds both the image context and the instruction template question string Human-readable question without answer options question_type string "Single Choice", "Multiple Choice" options list[string] letter-labelled options answer string Correct letter image list[Image] Images for each question, range from 1 to more than 20 L1-task..L4-task string… See the full description on the dataset page: https://huggingface.co/datasets/initiacms/OmniEarth-Bench_MCQ.

sourceHugging Faceupdated 1y agoView on Hugging Face

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Dataset Card

Dataset Summary

Each example provides:

Field	Type	Description
`index`	`int32`	Row ID
`query`	`string`	Prompt that embeds both the image context and the instruction template
`question`	`string`	Human-readable question without answer options
`question_type`	`string`	`"Single Choice"`, `"Multiple Choice"`
`options`	`list[string]`	letter-labelled options
`answer`	`string`	Correct letter
`image`	`list[Image]`	Images for each question, range from 1 to more than 20
`L1-task`..`L4-task`	`string`	Hierarchical task taxonomy
`Dataset`	`string`	Source catalogue

Data Structure and Sample

python

>>> ds = load_dataset(<dataset name>)
DatasetDict({
    train: Dataset({
        features: ['index', 'query', 'question', 'question_type', 'multi-choice options', 'answer', 'image', 'L1-task', 'L2-task', 'L3-task', 'L4-task', 'Dataset'],
        num_rows: 29649
    })
})
>>> ds['train'].features
{'index': Value(dtype='int32', id=None),
 'query': Value(dtype='string', id=None),
 'question': Value(dtype='string', id=None),
 'question_type': Value(dtype='string', id=None),
 'multi-choice options': [Value(dtype='string', id=None)],
 'answer': Value(dtype='string', id=None),
 'image': Sequence(feature=Image(mode=None, decode=True, id=None), length=-1, id=None),
 'L1-task': Value(dtype='string', id=None),
 'L2-task': Value(dtype='string', id=None),
 'L3-task': Value(dtype='string', id=None),
 'L4-task': Value(dtype='string', id=None),
 'Dataset': Value(dtype='string', id=None)}
>>> ds['train'][0]
{'index': 0,
 'query': "You are given visualization for monthly global climate anomaly of temperature and precipitation in 2010. What ENSO transition occurred during 2010?\nThe choices are listed below:\n(A) Transition from La Niña to El Niño\n(B) Transition from El Niño to La Niña\n(C) No ENSO transition occurred\n(D) Continued La Niña throughout the year\n(E) Unable to decide\n",
 'question': 'You are given visualization for monthly global climate anomaly of temperature and precipitation in 2010. What ENSO transition occurred during 2010?',
 'question_type': 'Single Choice',
 'multi-choice options': ['(A) Transition from La Niña to El Niño',
  '(B) Transition from El Niño to La Niña',
  '(C) No ENSO transition occurred',
  '(D) Continued La Niña throughout the year',
  '(E) Unable to decide'],
 'answer': 'B',
 'image': [<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=650x534>],
 'L1-task': 'Atmosphere',
 'L2-task': 'Interannual climate variation',
 'L3-task': 'Perception',
 'L4-task': 'ENSO feature analysis',
 'Dataset': 'NOAA_reports'}