language:en region:us
---
language:
- en

---
# AutoTrain Dataset for project: vape-chat

## Dataset Description

This dataset has been automatically processed by AutoTrain for project vape-chat.

### 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
[
  {
    "context": "\u2020###Human:\ngenerate a help prompt for What's in vape juice?\n\n###Assistant:\nVape juice, or e-liquid, typically contains propylene glycol (PG), vegetable glycerin (VG), nicotine, and flavorings. However, there are nicotine-free versions available.",
    "question": "What's in vape juice?",
    "answers.text": [
      "Vape juice, or e-liquid, typically contains propylene glycol (PG), vegetable glycerin (VG), nicotine, and flavorings. However, there are nicotine-free versions available."
    ],
    "answers.answer_start": [
      75
    ]
  },
  {
    "context": "\u2020###Human:\ngenerate a help prompt for What's in vape juice? (version 6)\n\n###Assistant:\nVape juice, or e-liquid, typically contains propylene glycol (PG), vegetable glycerin (VG), nicotine, and flavorings. However, there are nicotine-free versions available. (version 6)",
    "question": "What's in vape juice? (version 6)",
    "answers.text": [
      "Vape juice, or e-liquid, typically contains propylene glycol (PG), vegetable glycerin (VG), nicotine, and flavorings. However, there are nicotine-free versions available. (version 6)"
    ],
    "answers.answer_start": [
      87
    ]
  }
]
```

### Dataset Fields

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

```json
{
  "context": "Value(dtype='string', id=None)",
  "question": "Value(dtype='string', id=None)",
  "answers.text": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "answers.answer_start": "Sequence(feature=Value(dtype='int32', id=None), length=-1, 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        | 64 |
| valid        | 16 |
