metadata
language:
- en
task_categories:
- token-classification
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:
[
{
"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"):
{
"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 |