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 lists all source papers and their final counts.
This release was copied from the original AI-Math-TCS release, 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 and equivalence fallback.
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 at revision 4ccf1e006ac1d6f3053049b7fcc5aa47cec8a6f8.
from datasets import load_dataset
ds = load_dataset("HerrHruby/TCSBench_2026_ans", "SODA_2026", split="test")