citation (string) | description (string) | features (dict) | homepage (string) | license (string) | splits (dict) | _data_files (list) | _fingerprint (string) | _format_columns (sequence) | _format_kwargs (dict) | _format_type (null) | _indexes (dict) | _output_all_columns (bool) | _split (null) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
"" | "AutoTrain generated dataset" | {
"target": {
"dtype": "string",
"_type": "Value"
},
"source": {
"dtype": "string",
"_type": "Value"
}
} | "" | "" | {
"train": {
"name": "train",
"num_bytes": 1236600,
"num_examples": 16824,
"dataset_name": null
}
} | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | [
{
"filename": "dataset.arrow"
}
] | "e485dc1c499a20c5" | [
"source",
"target"
] | {} | null | {} | false | null |
AutoTrain Dataset for project: english-tokipona
Dataset Description
This dataset has been automatically processed by AutoTrain for project english-tokipona.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"target": "mi kama jo e pali ante.",
"source": "I'll find another job."
},
{
"target": "tenpo pini weka la mi moku lon poka sina.",
"source": "It's been a while since we've had lunch together."
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"target": "Value(dtype='string', id=None)",
"source": "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 | 16824 |
valid | 4206 |
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