# AutoTrain Dataset for project: pegasus-reddit-summarizer

## Dataset Description

This dataset has been automatically processed by AutoTrain for project pegasus-reddit-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
[
  {
    "feat_id": "82n2za",
    "text": "User who has been working in sales for 30+ years gets a new laptop on Monday. This morning when I get in, my phone is ringing already. I'm not supposed to start for another 20 mins, but I'm nice, so I answer it.\n\n\"This new laptop doesn't have Microsoft on it. Do I need to bring it back in? Just I'm in Scotland, so I'll have to fly down again.\"\n\nEr, yes it does. We went through it when I handed it over, I showed you Outlook, and how Outlook 2016 looks ever so slightly different to Outlook 2010 on your old laptop.\n\n\"Look, it's not there. Every time I click on the button, it just opens the internet. I've emailed my boss from my phone to let him know I'm cancelling all my appointments today, so can you fix it over the VPN or do I need to fly down?\"\n\nSo, I ask him what he's clicking on. \"The blue E. You said the icon was blue now instead of orange. But that just opens the internet, I've already TOLD YOU.\"\n\nI ask him to look along the taskbar for any other blue icons. \"There's a blue and white O. Are you telling me that's it?\" I ask him to confirm that Outlook begins with the letter O, and advise him to try clicking on that icon instead.\n\nSo he clicks on it, and ta-da! Outlook opens. \"Oh for God's sake. This is too confusing. Why did you change the colour anyway? Now I have to re-arrange all my appointments, this is really inconvenient.\"\n\nSorry, I did ring up my mate Bill and ask him to change the colour of Outlook from orange to blue just to confuse you. Luckily I have great power and influence over at Microsoft, so they did me a favour, and I'm now reaping the untold rewards.\n\nGTG, writing an email to his boss to cover my arse...\n",
    "target": "User receives a new laptop and complains to IT that it doesn't have Microsoft on it. IT informs the user that they had gone through it when handing it over and that the user had simply clicked on the wrong icon. The user complains about the change in icon color and that they now have to rearrange their entire schedule. IT sarcastically apologizes and writes an email to cover themselves."
  },
  {
    "feat_id": "q4kjoe",
    "text": "The title implies I was there but really it was just my mom and my sister.\n\nMy sister was craving a cheddar jalapeo bagel so my mom decided to go to a chain caf to get one for her. It was 10 minutes before closing, and they went through the drive thru. My mom orders the cheddar bagel for my sister plus some other things for the rest of the people at home, including coffee cake. The gal at the drive thru window said \"you're lucky, you're getting the last ones of everything you're ordering!\"\n\nMy mom pulls up to the window to pay and receive the food and the drive thru gal (about 19) is crying and apologizing profusely. She says the people in front of my mom STOLE THE FOOD. Mom asked how it happened and the lady said that she had made a mistake and was about to give the car in front the wrong order, but she realized her mistake before handing it over and announced it. The people then REACHED for the bag (it was not handed to them!!!) and stole it, apparently saying \"you can't have it back now, it's cross contaminated!\" Then when the lady called for her manager, he was busy, and the people's order wasn't ready yet, so the poor gal just told them to pull up and wait for their food and they did.\n\nMy mom is a really loving person and so she's trying to tell this lady it's okay, she didn't really need the food, she's not mad, etc., and in the meantime the manager comes over to ask what is happening. She tells him and he is shocked. He asked if the car in front was those people, and she said yes. So he starts going out to talk to the people in the car, and at that moment, they step on it and zip out of the parking lot. \n\nSo now those people have not only stolen my mom's order, which were the last items, but they didn't even receive their order! But the good news is that the manager said to my mom that he had been saving a cheddar bagel for himself and that he would give that one to her free of charge. \n\nHave you ever heard of anything like this??? My mom told me this on the phone and I was stunned. I've worked food service before but nothing like this has ever happened!! She thinks the people in the other car had done this maneuver before since the \"cross contamination\" response came out way too quickly. Also I feel so sorry for the lady! She's working in a fucking pandemic getting underpaid and overworked and now has to deal with deranged people!",
    "target": "A woman went to a chain caf\u00e9 with her daughter to buy a cheddar jalape\u00f1o bagel for her sister. The drive thru attendant announces they are getting the last items of everything. The attendant then reveals that the people in the car in front of them stole their food. The woman's mother attempted to comfort the attendant and the manager offered the woman a cheddar bagel for free. The woman wonders if the \"cross contamination\" defense may have been used by the thieves before."
  }
]
```

### Dataset Fields

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

```json
{
  "feat_id": "Value(dtype='string', 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        | 7200 |
| valid        | 1800 |

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-reddit-summarizer
========================================================


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


This dataset has been automatically processed by AutoTrain for project pegasus-reddit-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: