# AutoTrain Dataset for project: aniaitokenclassification

## Dataset Description

This dataset has been automatically processed by AutoTrain for project aniaitokenclassification.

### 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
[
  {
    "tokens": [
      "I",
      " booked",
      "a",
      " flight",
      "to",
      "London."
    ],
    "tags": [
      4,
      2,
      2,
      5,
      2,
      1
    ]
  },
  {
    "tokens": [
      "Apple",
      "Inc.",
      "is",
      "planning",
      "to",
      "open",
      "a",
      "new",
      "store",
      "in",
      "Paris."
    ],
    "tags": [
      3,
      3,
      2,
      2,
      2,
      2,
      2,
      2,
      2,
      2,
      1
    ]
  }
]
```

### Dataset Fields

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

```json
{
  "tokens": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "tags": "Sequence(feature=ClassLabel(names=['COMPANY', 'LOC', 'O', 'ORG', 'PER', 'THING'], 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        | 23 |
| valid        | 6 |

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

AutoTrain Dataset for project: aniaitokenclassification
=======================================================


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


This dataset has been automatically processed by AutoTrain for project aniaitokenclassification.


### 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-token-classification #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-token-classification #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: