Pre-to-Post-2/scaling_law_fitting_data
Scaling-law fitting data (chess, pretraining → SFT → RL) These are the tables we use to fit the RL scaling law in our chess pre-to-post-training project. Each language model is pretrained on chess games, fine-tuned (SFT) on puzzle solutions with reasoning traces, and then trained with RL on chess puzzles. File Rows One row per rl_curve_points.csv 2,226 (RL run, RL evaluation step), for 38 RL runs pretraining_properties.csv 81 pretrained model in the isoflop grid… See the full description on the dataset page: https://huggingface.co/datasets/Pre-to-Post-2/scaling_law_fitting_data.
| Author / organization | Pre-to-Post-2 |
|---|---|
| Downloads | 0 (as reported by Hugging Face) |
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| Created | 28 October 2026 |
| Last updated at source | 28 October 2026 |
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- 28 Oct 2026 Description: Scaling-law fitting data (chess, pretraining → SFT → RL) These are the tables we use to fit the RL scaling law in our chess pre-to-post-training project. Each language model is pretrained on chess games, fine-tuned (SFT) on puzzle solutions → Scaling-law fitting data (chess, pretraining → SFT → RL) These are the tables we use to fit the RL scaling law in our chess pre-to-post-training project. Each language model is pretrained on chess games, fine-tuned (SFT) on puzzle solutions
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