| --- |
| license: mit |
| task_categories: |
| - text-generation |
| - text2text-generation |
| language: |
| - en |
| tags: |
| - code |
| - reasoning |
| - chain-of-thought |
| - verifiable |
| - execution-verified |
| - python |
| - sft |
| pretty_name: Verifiable Code Reasoning |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| dataset_info: |
| features: |
| - name: id |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: category |
| dtype: string |
| - name: problem |
| dtype: string |
| - name: signature |
| dtype: string |
| - name: reasoning |
| dtype: string |
| - name: code |
| dtype: string |
| - name: tests |
| dtype: string |
| - name: verified |
| dtype: bool |
| - name: language |
| dtype: string |
| - name: code_hash |
| dtype: string |
| - name: sft_text |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 25363 |
| num_examples: 24 |
| - name: validation |
| num_bytes: 1318 |
| num_examples: 1 |
| download_size: 34096 |
| dataset_size: 26681 |
| --- |
| |
| # Verifiable Code Reasoning |
|
|
| **Execution-verified** Python coding problems with step-by-step chain-of-thought. |
|
|
| Only solutions that **pass sandboxed unit tests** are kept. Failed executions are discarded. |
|
|
| | Property | Detail | |
| |----------|--------| |
| | Verification | Multiprocess sandbox + timeout + multi-test | |
| | Dedup | Example id + normalized code hash | |
| | Balance | Category and difficulty quotas | |
| | Resume | Hub checkpoints (train.jsonl, progress.json) | |
| | License | MIT | |
|
|
| **Current size:** 25 verified examples (target 1,000,000). |
|
|
| ## Schema |
|
|
| | Field | Description | |
| |-------|-------------| |
| | problem | Natural language problem | |
| | signature | Python function signature | |
| | reasoning | Numbered chain-of-thought | |
| | code | Reference solution | |
| | tests | JSON string of input/output test list | |
| | category | array, hashmap, dp, ... | |
| | difficulty | easy / medium / hard | |
| | sft_text | Ready-to-train text block | |
| | verified | Always true in this release | |
| | code_hash | Deduplication key | |
|
|
| Note: `tests` is stored as a JSON string so Arrow/HF keeps a uniform schema |
| across problems whose outputs are ints, bools, or lists. |
|
|
| ## Load |
|
|
| ```python |
| from datasets import load_dataset |
| import json |
| ds = load_dataset("smshahbaj/verifiable-code-reasoning") |
| row = ds["train"][0] |
| print(row["sft_text"][:400]) |
| tests = json.loads(row["tests"]) |
| ``` |
|
|
| ## SFT format (sft_text) |
| |
| ```text |
| ### Problem |
| ... |
| |
| ### Reasoning |
| ... |
| |
| ### Solution |
| ```python |
| ... |
| ``` |
| ``` |
| |
| ## Construction |
| |
| 1. 25 algorithmic generator families |
| 2. At least 3 unit tests per example |
| 3. Sandbox execution filter (fail = drop) |
| 4. Quotas against template collapse |
| 5. Checkpoint upload every 2000 new verifies |
| |
| ## Intended use |
| |
| - SFT on code + reasoning |
| - Process / outcome reward modeling |
| - Filtering noisy synthetic traces |
| |
| ## Limitations |
| |
| - Coverage equals the generator bank (not full competitive programming) |
| - Python only |
| - Always validate downstream models on real held-out benchmarks |
| |
| ## Citation |
| |
| ```bibtex |
| @misc{verifiable_code_reasoning, |
| title = {Verifiable Code Reasoning}, |
| author = {smshahbaj}, |
| year = {2026}, |
| url = {https://huggingface.co/datasets/smshahbaj/verifiable-code-reasoning} |
| } |
| ``` |
| |
