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Publish verified ToolElite model/data asset

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NOTICE ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ Derived from AI-MO/NuminaMath-TIR (Apache-2.0).
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+ https://huggingface.co/datasets/AI-MO/NuminaMath-TIR
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+ ToolElite modifications: filtering, difficulty labels, hindsight, and GRPO formatting.
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ task_categories:
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+ - text-generation
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+ tags:
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+ - math
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+ - reinforcement-learning
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+ - tool-use
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+ - hindsight
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+ configs:
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+ - config_name: source
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+ data_files:
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+ - split: full
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+ path: rl_trace_opsd.parquet
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+ - config_name: grpo
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+ default: true
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+ data_files:
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+ - split: train
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+ path: grpo/train.parquet
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+ - split: validation
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+ path: grpo/validation.parquet
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+ ---
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+
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+ # rl_trace_opsd
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+
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+ The versioned mathematical RL data used by the ToolElite TRACE-OPSD project.
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+ The source contains **20,161 examples**, with columns `id`, `problem`,
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+ `ground_truth`, `difficulty`, `hindsight`, and `solution`. Difficulty labels are
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+ `mid` (10,940 examples) and `high` (9,221 examples).
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+
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+ ## Two representations of the same examples
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+
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+ | Configuration | Split | Examples | Purpose |
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+ |---|---|---:|---|
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+ | `source` | `full` | 20,161 | Full problem pool, including held-out validation IDs |
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+ | `grpo` | `train` | 19,905 | Immutable training split in ToolElite/verl format |
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+ | `grpo` | `validation` | 256 | Fixed training-monitoring validation split |
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+
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+ These are different representations of the same pool, not additional datasets.
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+ Do not train on the `source/full` split without excluding the fixed validation
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+ IDs. The validation split has **160 mid + 96 high** examples; split seed is 42.
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+ It is separate from final GSM8K/MATH500/AIME benchmark evaluation.
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ training = load_dataset("BitZone910/rl_trace_opsd", "grpo", split="train")
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+ validation = load_dataset("BitZone910/rl_trace_opsd", "grpo", split="validation")
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+ source = load_dataset("BitZone910/rl_trace_opsd", "source", split="full")
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+ ```
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+
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+ The GRPO format includes the tool prompt, terminal answer reward, source IDs,
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+ and training-only privileged hindsight. At inference/evaluation, expose only the
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+ problem and tool prompt to the policy; do not leak answer or hindsight fields.
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+
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+ ## Rename and reproducibility
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+
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+ `rl_trace_opsd.parquet` is byte-for-byte identical to the historical
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+ `problem_difficulty_with_hindsight.parquet`:
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+
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+ ```text
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+ SHA256: 20a49e75f08e7ad0887839b69bcb84678038205682db8cd19c2b0f053c7589d7
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+ GRPO dataset digest: a07f1f45025e9bc909cca2db0b4c601c5cc53a4faf9d9ee6791341caee797f60
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+ ```
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+
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+ `grpo/manifest.json` retains its historical source filename and original bytes,
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+ because its hash is part of the dataset digest. `publication-manifest.json`
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+ records the rename separately. No split, row order, content, or ID was changed
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+ for publication. The pool retains 2,600 selected SFT-overlapping questions after
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+ the recorded overlap filtering; it is not completely disjoint from SFT data.
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+
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+ For AutoDL, download the source into `data/numinamath/` and the `grpo/` directory
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+ into `data/`. Use `--difficulty-source data/numinamath/rl_trace_opsd.parquet` and
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+ `--dataset-dir data/grpo`.
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+
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+ ## Source and attribution
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+
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+ Derived from [NuminaMath-TIR](https://huggingface.co/datasets/AI-MO/NuminaMath-TIR),
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+ whose publisher declares Apache-2.0. ToolElite adds difficulty labels, solution
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+ hindsight, filtering, and tool-training formatting. Preserve upstream attribution
83
+ and the included Apache license when redistributing. The provided solution and
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+ hindsight columns are released for training/research, not as benchmark inputs.
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+ "file": "validation.parquet",
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+ "validation_difficulty_counts": {
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+ "high": 96,
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+ "mid": 160
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+ },
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+ "validation_size": 256
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+ }
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