# AutoTrain Dataset for project: identifying-person-location-date

## Dataset Description

This dataset has been automatically processed by AutoTrain for project identifying-person-location-date.

### 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
[
  {
    "tokens": [
      "I",
      "will",
      "be",
      "traveling",
      "to",
      "Tokyo",
      "next",
      "month."
    ],
    "tags": [
      13,
      13,
      13,
      13,
      13,
      1,
      13,
      0,
      5
    ]
  },
  {
    "tokens": [
      "The",
      "company",
      "Apple",
      "Inc.",
      "is",
      "based",
      "in",
      "California."
    ],
    "tags": [
      13,
      13,
      3,
      9,
      13,
      13,
      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=['B-DATE', 'B-LOC', 'B-MISC', 'B-ORG', 'B-PER', 'I-DATE', 'I-DATE,', 'I-LOC', 'I-MISC', 'I-ORG', 'I-ORG,', 'I-PER', 'I-PER,', 'O'], 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        | 21 |
| valid        | 9 |

task_categories:token-classification region:us
{"task_categories": ["token-classification"]}
TAGS
#task_categories-token-classification #region-us 

AutoTrain Dataset for project: identifying-person-location-date
===============================================================


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


This dataset has been automatically processed by AutoTrain for project identifying-person-location-date.


### Languages


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


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 unk.


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 #region-us 
 ### Languages


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


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 #region-us 
### Languages


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


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: