| --- |
| 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) |
