KeisukeMiyamoto/SyntheticTalk-jp
LambdaTalk-v2 LambdaTalk-v2 is a Japanese synthetic multi-turn conversation dataset generated with Gemma 4 31B. It contains conversations based on seed questions collected from 36 source datasets. Each conversation contains three user-assistant turns. The first user message is the original seed question. The remaining five messages were generated by Gemma 4 31B. Purpose The main purpose of this dataset is supervised fine-tuning of Japanese conversational language… See the full description on the dataset page: https://huggingface.co/datasets/KeisukeMiyamoto/SyntheticTalk-jp.
| Author / organization | KeisukeMiyamoto |
|---|---|
| License (as declared) | other |
| Downloads | 264 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 1 August 2026 |
| Last updated at source | 22 August 2026 |
Popularity, last 3 days
264 now (+6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- kurogane/pico-hiragana-3.8M-base-5BTModel · used to train
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