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Publish exact DistillationProject training split and provenance
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metadata
language:
  - en
task_categories:
  - text-generation
tags:
  - math
  - sft
  - distillation-project
source_datasets:
  - AI-MO/NuminaMath-1.5
configs:
  - config_name: prepared_50k
    default: true
    data_files:
      - split: train
        path: data/prepared-50000.parquet
  - config_name: retained_45k_checkpoint
    data_files:
      - split: train
        path: data/committed-45000.parquet
      - split: not_in_checkpoint
        path: data/not-in-45k-checkpoint-5000.parquet
license: apache-2.0

DistillationProject: original NuminaMath 50K pool

The exact 50,000-example prepared pool for the original Qwen2.5-1.5B base SFT experiment. The prepared_50k configuration preserves the original prepared parquet byte for byte. Training stopped with a retained 45K checkpoint. The retained_45k_checkpoint configuration exposes its 45,000 contributing examples in the actual seed-42 loader order, plus the 5,000 examples not represented in that checkpoint. Intermediate Numina checkpoints correspond to 5K prefixes of the ordered 45K view. The remaining 5K view is a provenance split, not a validation benchmark.

Exact original question and response text is preserved. No resampling, solution rewriting or truncation is performed for publication. Source revisions, row counts, order and file SHA256 values are recorded in publication.json and provenance/. Prepared tables retain their original columns. Source validity labels do not establish independently verified mathematical correctness.

Collection: https://huggingface.co/collections/zbeeb/disstillation-project-6ace05e5f40dbe715407516c