WangchanX-FLAN
VISTECWangchanX-FLAN is a FLAN-style instruction-tuning mixture centered on Thai, combining about 3.6 million examples converted from more than two dozen existing datasets for summarization, translation, question answering, classification and text generation. Sources range from ThaiSum, the scb-mt-en-th-2020 parallel corpus and Wisesight sentiment to English sets such as UltraChat, FLAN v2 and xP3x. VISTEC-depa AI Research Institute of Thailand assembled it, and the build script is public.
Openness
4 high confidence- license
- mixed-per-subset(card metadata says 'other' with a LICENSE link, but the LICENSE file is empty
- access
- public(ungated)
- dataset_card
- present(per-source table of origin, size, task, domain and license)
The mixture downloads without a gate, and each source dataset's license is recorded in the card table and on every row. The release adds no license of its own, since its LICENSE file is empty.
- https://huggingface.co/api/datasets/airesearch/WangchanX-FLAN-v6.1 recorded 2026-09-24
gated: false; license:other
- https://huggingface.co/datasets/airesearch/WangchanX-FLAN-v6.1/raw/main/LICENSE recorded 2026-09-24
Empty file (0 bytes)
- https://huggingface.co/datasets/airesearch/WangchanX-FLAN-v6.1/raw/main/README.md recorded 2026-09-24
license: other; license_link: LICENSE; "Each dataset is accompanied by its source, size, intended task, and licensing information"
Adoption
1 high confidenceAdoption is Hugging Face downloads of the v6.1 repository. Earlier versions of the mixture and local rebuilds from the public script are not counted.
- https://huggingface.co/api/datasets/airesearch/WangchanX-FLAN-v6.1 recorded 2026-09-24
159 downloads in the trailing 30 days for airesearch/WangchanX-FLAN-v6.1
Capability
3 medium confidenceWangchanX-FLAN lists every source and license, and the WangchanLION v2 instruct model is trained on it. All of it is reformatted from existing datasets, some of them machine-generated, which places it below WangchanThaiInstruct, whose Thai examples annotators and domain experts wrote from scratch.
- https://huggingface.co/datasets/airesearch/WangchanX-FLAN-v6.1 recorded 2026-09-24
Models trained or fine-tuned on airesearch/WangchanX-FLAN-v6.1: aisingapore/Gemma2-9b-WangchanLIONv2-instruct
- https://huggingface.co/datasets/airesearch/WangchanX-FLAN-v6.1/raw/main/README.md recorded 2026-09-24
num_examples: 3619450; source table rows ThaiSum 359k, scb-mt-en-th-2020 801k, xP3x 299k ...
Verified 2026-09-24