| task_categories: | |
| - conditional-text-generation | |
| # AutoTrain Dataset for project: led-samsum-dialogsum | |
| ## Dataset Description | |
| This dataset has been automatically processed by AutoTrain for project led-samsum-dialogsum. | |
| ### Languages | |
| The BCP-47 code for the dataset's language is unk. | |
| ## Dataset Structure | |
| ### Data Instances | |
| A sample from this dataset looks as follows: | |
| ```json | |
| [ | |
| { | |
| "feat_Unnamed: 0": 0, | |
| "feat_id": 0, | |
| "text": "Amanda: I baked cookies. Do you want some?\nJerry: Sure!\nAmanda: I'll bring you tomorrow :-)", | |
| "target": "Amanda baked cookies and will bring Jerry some tomorrow." | |
| }, | |
| { | |
| "feat_Unnamed: 0": 1, | |
| "feat_id": 1, | |
| "text": "Olivia: Who are you voting for in this election? \nOliver: Liberals as always.\nOlivia: Me too!!\nOliver: Great", | |
| "target": "Olivia and Olivier are voting for liberals in this election. " | |
| } | |
| ] | |
| ``` | |
| ### Dataset Fields | |
| The dataset has the following fields (also called "features"): | |
| ```json | |
| { | |
| "feat_Unnamed: 0": "Value(dtype='int64', id=None)", | |
| "feat_id": "Value(dtype='int64', id=None)", | |
| "text": "Value(dtype='string', id=None)", | |
| "target": "Value(dtype='string', id=None)" | |
| } | |
| ``` | |
| ### Dataset Splits | |
| This dataset is split into a train and validation split. The split sizes are as follow: | |
| | Split name | Num samples | | |
| | ------------ | ------------------- | | |
| | train | 27191 | | |
| | valid | 1318 | | |