Referensi:
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:nlu_evaluation_data')
- Keterangan :
Raw part of NLU Evaluation Data. It contains 25 715 non-empty examples (original dataset has 25716 examples) from 68 unique intents belonging to 18 scenarios.
- Lisensi : Lisensi Internasional Creative Commons Attribution 4.0 (CC BY 4.0)
- Versi : 1.1.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'train' | 25715 |
- Fitur :
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"scenario": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 68,
"names": [
"alarm_query",
"alarm_remove",
"alarm_set",
"audio_volume_down",
"audio_volume_mute",
"audio_volume_other",
"audio_volume_up",
"calendar_query",
"calendar_remove",
"calendar_set",
"cooking_query",
"cooking_recipe",
"datetime_convert",
"datetime_query",
"email_addcontact",
"email_query",
"email_querycontact",
"email_sendemail",
"general_affirm",
"general_commandstop",
"general_confirm",
"general_dontcare",
"general_explain",
"general_greet",
"general_joke",
"general_negate",
"general_praise",
"general_quirky",
"general_repeat",
"iot_cleaning",
"iot_coffee",
"iot_hue_lightchange",
"iot_hue_lightdim",
"iot_hue_lightoff",
"iot_hue_lighton",
"iot_hue_lightup",
"iot_wemo_off",
"iot_wemo_on",
"lists_createoradd",
"lists_query",
"lists_remove",
"music_dislikeness",
"music_likeness",
"music_query",
"music_settings",
"news_query",
"play_audiobook",
"play_game",
"play_music",
"play_podcasts",
"play_radio",
"qa_currency",
"qa_definition",
"qa_factoid",
"qa_maths",
"qa_stock",
"recommendation_events",
"recommendation_locations",
"recommendation_movies",
"social_post",
"social_query",
"takeaway_order",
"takeaway_query",
"transport_query",
"transport_taxi",
"transport_ticket",
"transport_traffic",
"weather_query"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}