ya9919/fin-laya-decision-qa
Financial decision-QA supervision The study uses 4,172,421 underlying financial-survey observations, represented in bilingual views. Per language, the grouped partitions contain 2,925,263 training, 412,873 development, 415,688 calibration and 418,597 test examples. The two language views represent the same underlying observations. A common model comparison uses 240,458 records, 119 question versions and 8,275 respondent groups. Accuracy counts invalid answers as incorrect.… See the full description on the dataset page: https://huggingface.co/datasets/ya9919/fin-laya-decision-qa.
| Author / organization | ya9919 |
|---|---|
| License (as declared) | other |
| Downloads | 634 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 12 October 2026 |
| Last updated at source | 19 October 2026 |
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634 now (+170 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 20 Oct 2026 Description: Fin-Laya Bilingual Decision QA 中文 | English Chinese and English training material for Fin-Laya decision models, part of the 1.4B Persona Social Model project. The dataset contains 4,172,421 observed survey question–answer pairs in each lang → Financial decision-QA supervision The study uses 4,172,421 underlying financial-survey observations, represented in bilingual views. Per language, the grouped partitions contain 2,925,263 training, 412,873 development, 415,688 calibration a
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 10 November 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.