Datasets:
utterance
stringlengths 2
133
| label
int64 0
63
|
---|---|
what alarms do i have set right now | 0 |
checkout today alarm of meeting | 0 |
report alarm settings | 0 |
see see for me the alarms that you have set tomorrow morning | 0 |
is there an alarm for ten am | 0 |
confirm the alarm time | 0 |
show my alarms | 0 |
at what time have you set alarm for me | 0 |
please list active alarms | 0 |
please tell me about upcoming alarms | 0 |
what alarms have i set for tomorrow | 0 |
have i set any alarm for today | 0 |
what alarms do you have set | 0 |
show me all scheduled alarms | 0 |
could you tell me about the alerts i have set | 0 |
show me my alarms i have set | 0 |
do i have any alarms for tomorrow morning | 0 |
what alarm do i have set for today | 0 |
what alarms have been set for me | 0 |
list all set alarms | 0 |
please tell me my alarms | 0 |
what is the wake up time for my alarm i have set for the flight this weekend | 0 |
did i set an alarm to wake up in the morning | 0 |
what times do my alarms go off | 0 |
what time is my wakeup alarm set for | 0 |
please read out all the alarms that are set | 0 |
what time are my alarms set for | 0 |
how many alarms do i have set | 0 |
are there any alarms currently set | 0 |
confirm alarm for tomorrow morning | 0 |
do i have an alarm set for morning flight | 0 |
what's my next scheduled alarm | 0 |
do i have any alarms set for tomorrow | 0 |
please check alarms | 0 |
what alarms do i have set | 0 |
do i have an alarm set | 0 |
show me the list of alarms | 0 |
just to confirm you set the alarm to go off at eight hundred | 0 |
did i set my house alarm | 0 |
what are the next three alarms set to go off | 0 |
check if alarm is set for six am | 0 |
is the alarm to the backdoor set and ready to go | 0 |
what time do i have my alarm set for tomorrow | 0 |
what's the description for the alarm at eleven am | 0 |
are there any alarms set | 0 |
are there any alarms set right now | 0 |
are there any alarms | 0 |
do i have alarms set for today | 0 |
how many alarms are listed | 0 |
remind me about my alarms today | 0 |
list alarms | 0 |
how many alarms do i have | 0 |
just see for me the alarms that you have set today morning | 0 |
what alarms are on right now | 0 |
please tell about the alarms | 0 |
review set alarms | 0 |
is my work alarm set for tomorrow | 0 |
what alarms are set | 0 |
what time are my alarms | 0 |
which alarms are set in the phone | 0 |
is my alarm set for tomorrow morning | 0 |
check if any alarm is there after five am | 0 |
what alarms do i have set for thursday | 0 |
checkout today set alarm of ten am | 0 |
is my school alarm set | 0 |
tell me if my alarm is set for the morning | 0 |
do i have an alarm set for tomorrow | 0 |
what alarms do i have | 0 |
when was the last alarm set | 0 |
today how many alarms do i have set | 0 |
how many alarms do i have set for morning hours between six and nine am | 0 |
what is tomorrow's alarm time set to | 0 |
please let me know the morning alarm time for weekdays | 0 |
read me my alarms | 0 |
is there any alarm after five am | 0 |
what days are my alarms set for | 0 |
confirm i have set an alarm for six am | 0 |
what alarms did i set | 0 |
what alarms do i got | 0 |
show me the alarms that are set | 0 |
tell me about alarms | 0 |
checkout today third set alarm | 0 |
how many alarms are currently set | 0 |
are there any alarms set what are they | 0 |
is my alarm set | 0 |
tell me what alarms are set for me | 0 |
next alarm | 0 |
when is the next alarm | 0 |
show alarms | 0 |
let me know about any alarms set today | 0 |
confirm my alarm settings | 0 |
give me the alarm times for the next two days | 0 |
what alarms are set in the house | 0 |
do i have any alarms | 0 |
have i set any alarms in the morning | 0 |
check if i have set any alarm for morning | 0 |
list all of my upcoming alarms | 0 |
my alarms | 0 |
do i have any alarms set for six am tomorrow | 0 |
how many alarms are currently on my phone | 0 |
End of preview. Expand
in Dataset Viewer.
hwu64
This is a text classification dataset. It is intended for machine learning research and experimentation.
This dataset is obtained via formatting another publicly available data to be compatible with our AutoIntent Library.
Usage
It is intended to be used with our AutoIntent Library:
from autointent import Dataset
hwu64 = Dataset.from_datasets("AutoIntent/hwu64")
Source
This dataset is taken from original work's github repository jianguoz/Few-Shot-Intent-Detection
and formatted with our AutoIntent Library:
# define utils
import requests
from autointent import Dataset
def load_text_from_url(github_file: str):
return requests.get(github_file).text
def convert_hwu64(hwu_utterances, hwu_labels):
intent_names = sorted(set(hwu_labels))
name_to_id = dict(zip(intent_names, range(len(intent_names)), strict=False))
n_classes = len(intent_names)
assert len(hwu_utterances) == len(hwu_labels)
classwise_utterance_records = [[] for _ in range(n_classes)]
intents = [
{
"id": i,
"name": name,
}
for i, name in enumerate(intent_names)
]
for txt, name in zip(hwu_utterances, hwu_labels, strict=False):
intent_id = name_to_id[name]
target_list = classwise_utterance_records[intent_id]
target_list.append({"utterance": txt, "label": intent_id})
utterances = [rec for lst in classwise_utterance_records for rec in lst]
return {"intents": intents, split: utterances}
# load
file_url = "https://raw.githubusercontent.com/jianguoz/Few-Shot-Intent-Detection/refs/heads/main/Datasets/HWU64/train/label"
labels = load_text_from_url(file_url).split("\n")[:-1]
file_url = "https://raw.githubusercontent.com/jianguoz/Few-Shot-Intent-Detection/refs/heads/main/Datasets/HWU64/train/seq.in"
utterances = load_text_from_url(file_url).split("\n")[:-1]
# convert
hwu64_train = convert_hwu64(utterances, labels, "train")
file_url = "https://raw.githubusercontent.com/jianguoz/Few-Shot-Intent-Detection/refs/heads/main/Datasets/HWU64/test/label"
labels = load_text_from_url(file_url).split("\n")[:-1]
file_url = "https://raw.githubusercontent.com/jianguoz/Few-Shot-Intent-Detection/refs/heads/main/Datasets/HWU64/test/seq.in"
utterances = load_text_from_url(file_url).split("\n")[:-1]
# convert
hwu64_test = convert_hwu64(utterances, labels, "test")
hwu64_train["test"] = hwu64_test["test"]
dataset = Dataset.from_dict(hwu64_train)
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