[KongchangAI]
Conceptpost-training data commons

Post-Training Data Commons

A shared pool of public datasets and resources for the post-training stage (instruction tuning, RLHF, DPO, and similar methods), analogous to Common Crawl and The Pile in the pre-training stage, intended to lower the barrier to post-training research and to promote reproducibility.

Timeline (last 90 days)

Nov 4

The post-training stage lacks a shared data commons, in contrast to the pre-training stage, where large numbers of public datasets exist.

Unverified50%
Nov 4

The lack of a post-training data commons affects reproducible research, because the fine-tuning methods described in papers are difficult to verify on identical data.

Unverified50%

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