Datasets:

Languages:
Thai
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License:
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metadata
license: cc-by-sa-4.0
language:
  - tha
pretty_name: Mtop Intent Classification
task_categories:
  - intent-classification
tags:
  - intent-classification

This 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')

Languages

tha

Supported Tasks

Intent Classification

Dataset Usage

Using datasets library

from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/mtop_intent_classification", trust_remote_code=True)

Using seacrowd library

# Load the dataset using the default config
dset = sc.load_dataset("mtop_intent_classification", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("mtop_intent_classification"))
# Load the dataset using a specific config
dset = sc.load_dataset_by_config_name(config_name="<config_name>")

More details on how to load the seacrowd library can be found here.

Dataset Homepage

https://huggingface.co/mteb

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

Creative Commons Attribution Share Alike 4.0 (cc-by-sa-4.0)

Citation

If you are using the Mtop Intent Classification dataloader in your work, please cite the following:

@inproceedings{li-etal-2021-mtop,
  author    = {Li, Haoran and Arora, Abhinav and Chen, Shuochi and Gupta, Anchit and Gupta, Sonal and Mehdad, Yashar},
  title     = {MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark},
  booktitle   = {Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume},
  publisher = {Association for Computational Linguistics},
  year      = {2021},
  url       = {https://aclanthology.org/2021.eacl-main.257},
  doi       = {10.18653/v1/2021.eacl-main.257},
  pages    = {2950-2962},
}


@article{lovenia2024seacrowd,
    title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, 
    author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya},
    year={2024},
    eprint={2406.10118},
    journal={arXiv preprint arXiv: 2406.10118}
}