p3_0.5_dataset / README.md
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---
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:
```bash
{
'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](http://bigscience.huggingface.co/promptsource) 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](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)