specific method · filed under data curation
Expert co-created training data
Training data developed with domain experts around work they perform or ship, across fields including software engineering, gaming, finance, and security.
- sources
- 2
- model
- 1
- lab adopt it
- 1
- strongest
- used
How sources treat it
One count per evidence span, weakest treatment to strongest.
used 2
Documented in
Evidence
2 spans quoted from the sources, strongest treatment first.
We partnered with top experts inside Tencent — such as software engineers, game developers, finance analysts, and security experts — and built training data around the work they ship.
useddata curationin Hy4-previewTencent Hunyuan
developed using high-quality training data co-created with Tencent experts across software engineering, gaming, finance, security, and other domains
usedunclearin Tencent Hy4 previewTencent
Filed alongside
Other methods under data curation :: data sourcing.
GitHub CrawlAgentic knowledge graph constructionCommon CrawlEssentialWebFinePDFsHigh-recall web-data curationImage-code pairs and computer-use trajectoriesLong-document curationNemotron-3-Ultra corpusNemotron-CCNemotron-Post-Training-v3Star-threshold-filtered GitHub repositoriesStreaming training-data ingestionVideo frame extraction at 1 FPSVideo sampling parametersWeb knowledge graph construction and question generation