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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_hub("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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