Referências:
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:snips_built_in_intents')
- Descrição :
Snips' built in intents dataset was initially used to compare different voice assistants and released as a public dataset hosted at
https://github.com/sonos/nlu-benchmark 2016-12-built-in-intents. The dataset contains 328 utterances over 10 intent classes. The
related paper mentioned on the github page is https://arxiv.org/abs/1805.10190 and a related Medium post is
https://medium.com/snips-ai/benchmarking-natural-language-understanding-systems-d35be6ce568d .
- Licença : Nenhuma licença conhecida
- Versão : 0.0.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'train' | 328 |
- Características :
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 10,
"names": [
"ComparePlaces",
"RequestRide",
"GetWeather",
"SearchPlace",
"GetPlaceDetails",
"ShareCurrentLocation",
"GetTrafficInformation",
"BookRestaurant",
"GetDirections",
"ShareETA"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}