# AutoTrain Dataset for project: pegasus-subreddit-comments-summarizer

## Dataset Description

This dataset has been automatically processed by AutoTrain for project pegasus-subreddit-comments-summarizer.

### Languages

The BCP-47 code for the dataset's language is en.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "text": "I go through this every single year.  We have an Ironman competition that is 2 miles from my hotel, and I sell out for that weekend almost a year in advance.  Without fail I will have some nitwit who will come up on their checkout day and ask to extend, when I tell them I can't they lose their mind at me.  It's their room, they paid for it, they're already in there how can I just give it away.  People do not understand how reservations work.",
    "target": "The commenter experiences this every year - they sell out their hotel almost a year in advance for an Ironman competition nearby. Despite this, some customers still ask to extend their stay at checkout and get angry when told it's not possible because they don't understand how reservations work."
  },
  {
    "text": "Can i just say .. thanks for going back to make sure you hadn't overreacted. Im sure that made things so much easier on all the staff, with it being their first days back, being understaffed, I'm sure, and trying to get back into the swing of things. I think you handled that really well :)",
    "target": "The commenter appreciates the poster's effort in going back to verify if they had overreacted. The commenter believes this action might have made things easier for the understaffed team during their first days back. The commenter commends the poster for handling the situation well."
  }
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
  "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        | 7177 |
| valid        | 1796 |

task_categories:summarization language:en region:us
{"language": ["en"], "task_categories": ["summarization"]}
TAGS
#task_categories-summarization #language-English #region-us 

AutoTrain Dataset for project: pegasus-subreddit-comments-summarizer
====================================================================


Dataset Description
-------------------


This dataset has been automatically processed by AutoTrain for project pegasus-subreddit-comments-summarizer.


### Languages


The BCP-47 code for the dataset's language is en.


Dataset Structure
-----------------


### Data Instances


A sample from this dataset looks as follows:


### Dataset Fields


The dataset has the following fields (also called "features"):


### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:




### Languages


The BCP-47 code for the dataset's language is en.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


The dataset has the following fields (also called "features"): ### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:
TAGS
#task_categories-summarization #language-English #region-us 
 ### Languages


The BCP-47 code for the dataset's language is en.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


The dataset has the following fields (also called "features"): ### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:
passage: TAGS
#task_categories-summarization #language-English #region-us 
### Languages


The BCP-47 code for the dataset's language is en.


Dataset Structure
-----------------### Data Instances


A sample from this dataset looks as follows:### Dataset Fields


The dataset has the following fields (also called "features"):### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow: