--- dataset_info: config_name: SODA_2026 features: - name: question_id dtype: string - name: paper_id dtype: string - name: title dtype: string - name: venue dtype: string - name: year dtype: int64 - name: node_id dtype: string - name: prompt_type dtype: string - name: problem dtype: string - name: answer dtype: string - name: answer_type dtype: string - name: answer_symbols dtype: string - name: answer_assumptions dtype: string - name: reference_solution dtype: string - name: difficulty dtype: string - name: topic_tags dtype: string - name: format_issues dtype: string - name: verification_method dtype: string - name: procedural_audit dtype: string - name: content_audit dtype: string - name: independent_verification dtype: string - name: equivalence_check dtype: string - name: source_dag_repo dtype: string - name: source_dag_config dtype: string - name: source_dag_split dtype: string - name: source_dag_revision dtype: string - name: source_dag_sha256 dtype: string - name: generation_model dtype: string - name: generation_effort dtype: string - name: generation_prompt_version dtype: string - name: reused_from_four_question_run dtype: bool splits: - name: test num_bytes: 1165731 num_examples: 290 download_size: 545335 dataset_size: 1165731 configs: - config_name: SODA_2026 data_files: - split: test path: SODA_2026/test-* --- # TCSBench 2026: Final-answer problems This release contains **290 exact-answer problems** from **142 SODA 2026 paper DAGs**. It is SODA-only, and answers are visible. The public config/split is `SODA_2026` / `test`. ## Coverage and curation The generator requested three problems per DAG, each with a distinct theorem-like target node; quality gates did not force-fill unsuitable papers. After curation, 62 papers have three questions, 38 have two, 28 have one, and 14 have none. Thus 128 papers appear in the question rows. [`paper_coverage.json`](./paper_coverage.json) lists all source papers and their final counts. This release was copied from the [original AI-Math-TCS release](https://huggingface.co/datasets/AI-Math-TCS/TCSBench_2026_ans), then the trailing answer-format instruction was removed from **every** public `problem`. The mathematical question, canonical answer, reference solution, audit fields, and `question_id` were otherwise preserved. **41 rows were excluded** because their canonical `answer` contains an integer literal of six or more decimal digits anywhere in the expression, including inside fractions or radicals. This is a textual literal rule, not an evaluation of symbolic expressions. The original source release remains available; this copy is the curated evaluation set. Remaining answer types: 133 integer, 86 rational, 41 rational-expression, and 30 algebraic-expression. 1 retained row(s) have a `unicode_math` formatting flag, recorded in `format_issues`. ## Generation and checks Problems were generated with `gpt-5.6-sol` at `xhigh` effort from a target node and its proof-relevant DAG context. Each accepted problem passed context and exact-answer eligibility checks, scaffold reduction, a proceduralness audit, an independent solve, answer-equivalence review, and a final content audit. The post-generation removal of the response-format instruction changes no mathematical assumptions or requested quantity, but these audits were not rerun on the edited string. Model-assisted audits are not a formal guarantee of mathematical correctness. The `answer` column is the canonical closed-form answer; `reference_solution` explains it. `answer_symbols` and `answer_assumptions` are JSON strings used by the 0/1 grader. Exact symbolic comparison is attempted first, with `gpt-5.6-luna` at medium effort used only when exact comparison is unresolved. See the [grader](https://github.com/CohenQU/AI-Math-TCS/blob/6c1dc00/scripts/synthetic/final_answer_grader.py) and [equivalence fallback](https://github.com/CohenQU/AI-Math-TCS/blob/6c1dc00/scripts/synthetic/final_answer_equivalence.py). ## Provenance Each row records its source paper and target node, generation settings, audit records, and the SHA-256 of the exact source DAG payload. The source is the [structurally validated SODA 2026 DAG split](https://huggingface.co/datasets/AI-Math-TCS/tcs_dags/viewer/SODA_2026/legacy_v1_6_structurally_repaired_gemini_3_8_flash) at revision `4ccf1e006ac1d6f3053049b7fcc5aa47cec8a6f8`. ```python from datasets import load_dataset ds = load_dataset("HerrHruby/TCSBench_2026_ans", "SODA_2026", split="test") ```