intent-classification
klue-roberta-small-3i4k-intent-classificationintent_classificationXLMRoberta-Alexa-Intents-Classificationqwen3-8b-therapist-intent-classification-ru-9qwen3-8b-client-intent-classification-ru-7Intent-classification-1b-GGUF-v1qwen3.5-0.8b-intent-classificationsetfit-model-intent-classification-insurance
turkish-intent-classification-1m
Turkish Intent Classification 1M v2
Yirmi destek niyetini kapsayan slot çeşitlendirmeli Türkçe sınıflandırma verisi.
Doğrulanmış boyut
Train: 980,000
Validation: 10,000
Test: 10,000
Toplam: 1,000,000
Ana görev sütunları: id, text, label
Provenance
Veri insan mesajlarından, belgelerinden veya web kazımasından alınmamıştır. Tamamı
depodaki üretici koduyla deterministik olarak oluşturulur. Her satırda source_type,
provenance, generator_version… See the full description on the dataset page: https://huggingface.co/datasets/GoktugD/turkish-intent-classification-1m.Uddessho-Bangla-Multimodal-Intent-Classification
📊 Uddessho Dataset — Multimodal Author Intent Classification
Uddessho (meaning "Intent" in English) is a multimodal dataset created for author intent classification in the low-resource Bangla language.It contains 3,048 social media posts (text + images) labeled into six distinct intent types.
🏷️ Intent Categories & Label Mapping
Label ID
Class Name
0
Advocative
1
Controversial
2
Exhibitionist
3
Expressive
4
Informative
5
Promotive
📂… See the full description on the dataset page: https://huggingface.co/datasets/Mukaffi28/Uddessho-Bangla-Multimodal-Intent-Classification.IntentClassification_Dataset_for_AI_Assistant_Prompt_Routing_HindiChildren_Intent_Classification
MAMA Communicative Intent Dataset (INCA-A Annotated)
Overview
The MAMA Communicative Intent Dataset is a linguistically annotated corpus of child utterances designed to support research in child-centred Natural Language Processing (NLP) and communicative intent recognition in early language development.
The dataset contains 10,800 child utterances annotated using the INCA Communicative Coding System (Ninio et al., 1994), a developmental framework that identifies the… See the full description on the dataset page: https://huggingface.co/datasets/Wajinimi/Children_Intent_Classification.intent-classification-en-frmtop_intent_classificationThis dataset contains annotated utterances from 6 languages, including Thai,
for semantic parsing. Queries corresponding to the chosen domains are crowdsourced.
Two subsets are included in this dataset: 'domain' (eg. 'news', 'people', 'weather')
and 'intent' (eg. 'GET_MESSAGE', 'STOP_MUSIC', 'END_CALL')