WangchanThaiInstruct
VISTECWangchanThaiInstruct is a human-authored Thai instruction dataset for both instruction tuning and evaluation, covering four professional domains (medical, finance, retail and legal) and seven task types from summarization to multiple-choice QA. Annotators, domain experts and researchers wrote and checked it through a multi-stage quality-control process, and it has about 40,000 rows split into train and test sets. It is published by the VISTEC-depa AI Research Institute of Thailand.
Openness
4 high confidence- license
- mixed-per-subset(card metadata says cc-by-sa-4.0, but the card states rows carry NC or SA licenses according to their source, recorded in a per-row License column)
- access
- public(ungated)
- dataset_card
- present(domains, tasks, subsets and paper link)
The data downloads without a gate, but its license varies row by row: some rows allow commercial use under share-alike terms and others are non-commercial. Anyone reusing it has to filter on the per-row license field.
- https://huggingface.co/api/datasets/airesearch/WangchanThaiInstruct recorded 2026-09-24
gated: false; license:cc-by-sa-4.0
- https://huggingface.co/datasets/airesearch/WangchanThaiInstruct/raw/main/README.md recorded 2026-09-24
"We have both NC and SA licenses. Please adhere to the license terms. Each row has its license according to its source."
Adoption
1 high confidenceAdoption is Hugging Face downloads of the single repository. It serves as both a training set and a test set, and the count does not distinguish the two uses.
- https://huggingface.co/api/datasets/airesearch/WangchanThaiInstruct recorded 2026-09-24
394 downloads in the trailing 30 days for airesearch/WangchanThaiInstruct
Capability
4 medium confidenceWangchanThaiInstruct is written entirely by Thai annotators and domain experts rather than translated or generated, it is documented in an EMNLP paper, and models such as WangchanLION v2 are trained on it. It covers four professional domains in one language, and the models the Hub lists as trained on it include quantized copies of WangchanLION v2 and a Llama 3.1 Thai fine-tune.
- https://arxiv.org/abs/2508.15239 recorded 2026-09-24
"a human-authored Thai dataset for evaluation and instruction tuning, covering four professional domains and seven task types"
- https://huggingface.co/datasets/airesearch/WangchanThaiInstruct recorded 2026-09-24
"Browse 11 models trained on this dataset"; mradermacher/Gemma2-9b-WangchanLIONv2-instruct-i1-GGUF
- https://huggingface.co/datasets/airesearch/WangchanThaiInstruct/raw/main/README.md recorded 2026-09-24
train num_examples: 32207; test num_examples: 7793
- https://huggingface.co/datasets/airesearch/WangchanX-FLAN-v6.1/raw/main/README.md recorded 2026-09-24
source table row: WangchanThaiInstruct, airesearch/WangchanThaiInstruct_7.24, 12.2k
Verified 2026-09-24