metadata

language:
  - en
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
dataset_info:
  features:
    - name: choices
      sequence: string
    - name: input
      dtype: string
    - name: output
      dtype: string
    - name: dataset
      dtype: string
    - name: category
      dtype: string
    - name: prompt_template
      dtype: string
    - name: idx
      dtype: int64
  splits:
    - name: train
      num_bytes: 196170501
      num_examples: 304955
    - name: test
      num_bytes: 20170043
      num_examples: 17255
  download_size: 88640049
  dataset_size: 216340544

Dataset Card for P3_0.5

Dataset Structure

Data Instances

An example of "train" looks as follows:

{
  'choices': [ "Yes", "No" ],
  'input': "Given that No Weapons of Mass Destruction Found in Iraq Yet. Does it follow that Weapons of Mass Destruction Found in Iraq. Yes or no?",
  'label': "No",
  'dataset': "rte",
  'category': "nli",
  'prompt_template': "super_glue_rte_does_it_follow_that"
}

To check all the prompted examples, you can use the Promptsource hosted tool and choose the Prompted dataset viewer mode in the left panel.

Data Fields

The data fields are the same among all splits:

choices: the choices (in natural language) available to the model
input: the natural language input fed to the model
label: the natural language target that the model has to generate
dataset: the dataset that the data are from
category: the NLP task it belongs to
prompt_template: the prompt template used to form the input

More Information needed