collinear-ai/valley-of-reasoning-data
Dataset Summary This dataset contains 7 subsets that are used to perform experiments included in the paper The Valley of Code Reasoning: Scaling Knowledge Distillation of Large Language Models. The subsets train_1k, train_10k and train_30k are used to study the effect of dataset size on coding performance. The subsets easy_medium_4k, hard_4k, correct_6k and incorrect_6k are used to study the effect of correctness or difficulty level in data on coding performance. Dataset Structure Each subset… See the full description on the dataset page: https://huggingface.co/datasets/collinear-ai/valley-of-
| Author / organization | collinear-ai |
|---|---|
| License (as declared) | mit |
| Downloads | 364 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 7 October 2025 |
| Last updated at source | 8 October 2025 |
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