| --- |
| license: mit |
| --- |
| # DeepScaleR-Medium-20k |
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|
| RL training set of 20,000 DeepScaleR questions spanning difficulty (Gemma-3-4B-IT |
| pass rate at temp 1.0, 4 samples, LENIENT math_verify grading): the **same 10,000 |
| 4/4 questions as DeepScaleR-Easy-10k** + 3,000 from 3/4 + 3,000 from 2/4 + 4,000 |
| from 1/4. 500 random questions (across all difficulties) held out as validation; |
| train 19,500. |
| |
| Creation (seed 42 throughout): identical dedup-v2 pipeline as DeepScaleR-Easy-10k |
| (see that README): max-strength question dedup, conflicting-gold groups removed |
| via math_verify equivalence, one random copy per group -> 38,796 unique questions; |
| buckets sampled uniformly without replacement. |
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|
| NOTE: because the 10k easy questions are shared, DeepScaleR-Easy-10k's val |
| questions may appear in this set's TRAIN split (and vice versa). Do not evaluate |
| a Medium-trained model on Easy-10k's val (or vice versa); each set is |
| self-consistent only with its own split. |
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| Files: `*_train.parquet` and `*_val500.parquet` (500 unique held-out questions). |
| For mean@16 validation, replicate the val rows 16x locally. verl format: |
| data_source "math", prompt = single user message, reward_model.ground_truth, |
| extra_info carries lenient/strict pass counts. |
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| Built by `rl-distill-scripts/data/build_deepscaler_easy_medium.py` in |
| JasonWei05/rl-distill. |
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