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Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
instruction: string
reference_code: string
output_dict: struct<Q: string, R: string, P: string, L: string, B: string, C: string, E: string, F: string, M: st (... 1239 chars omitted)
  child 0, Q: string
  child 1, R: string
  child 2, P: string
  child 3, L: string
  child 4, B: string
  child 5, C: string
  child 6, E: string
  child 7, F: string
  child 8, M: string
  child 9, D: string
  child 10, S: string
  child 11, G: string
  child 12, Diff: string
  child 13, A: string
  child 14, E1: string
  child 15, E2: string
  child 16, E3: string
  child 17, H: string
  child 18, U: string
  child 19, T: string
  child 20, W: string
  child 21, K: string
  child 22, Q1: string
  child 23, Q2: string
  child 24, Q3: string
  child 25, R1: string
  child 26, R2: string
  child 27, R3: string
  child 28, S1: string
  child 29, S2: string
  child 30, S3: string
  child 31, P1: string
  child 32, P2: string
  child 33, P3: string
  child 34, V1: string
  child 35, V2: string
  child 36, V3: string
  child 37, T1: string
  child 38, T2: string
  child 39, T3: string
  child 40, U1: string
  child 41, U2: string
  child 42, U3: string
  child 43, W1: string
  child 44, W2: string
  child 45, W3: string
  child 46, X1: string
  child 47, X2: string
  child 48, X3: string
  child 49, Y1: string
  child 50, Y2: string
  child 51, Y3: string
  child 52, A1: string
  child 53, A2: string
  child 54, A3: string
  child 55, V: string
  child 56, L1: string
  child 57, L2: string
  child 58,
...
  child 60, Z: string
  child 61, M1: string
  child 62, M2: string
  child 63, M3: string
  child 64, E4: string
  child 65, N: string
  child 66, O: string
  child 67, N1: string
  child 68, N2: string
  child 69, N3: string
  child 70, M4: string
  child 71, F1: string
  child 72, F2: string
  child 73, D1: string
  child 74, D2: string
  child 75, D3: string
  child 76, L3: string
  child 77, L4: string
  child 78, L5: string
  child 79, L6: string
  child 80, G1: string
  child 81, G2: string
  child 82, G3: string
  child 83, G4: string
  child 84, H1: string
  child 85, H2: string
  child 86, H3: string
  child 87, K1: string
  child 88, K2: string
  child 89, K3: string
  child 90, F3: string
  child 91, H4: string
  child 92, J1: string
  child 93, J2: string
  child 94, J3: string
  child 95, F4: string
  child 96, R4: string
  child 97, R5: string
  child 98, A4: string
  child 99, C1: string
  child 100, C2: string
  child 101, C3: string
  child 102, C4: string
  child 103, F5: string
  child 104, V4: string
  child 105, Z1: string
  child 106, Z2: string
  child 107, Z3: string
  child 108, G5: string
  child 109, G6: string
  child 110, H5: string
  child 111, K4: string
  child 112, I: string
feature: string
complexity: string
form_stdout: string
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
form_rc: int64
code: string
task_id: string
to
{'task_id': Value('string'), 'messages': List({'role': Value('string'), 'content': Value('string')}), 'instruction': Value('string'), 'code': Value('string'), 'form_stdout': Value('string'), 'form_rc': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              instruction: string
              reference_code: string
              output_dict: struct<Q: string, R: string, P: string, L: string, B: string, C: string, E: string, F: string, M: st (... 1239 chars omitted)
                child 0, Q: string
                child 1, R: string
                child 2, P: string
                child 3, L: string
                child 4, B: string
                child 5, C: string
                child 6, E: string
                child 7, F: string
                child 8, M: string
                child 9, D: string
                child 10, S: string
                child 11, G: string
                child 12, Diff: string
                child 13, A: string
                child 14, E1: string
                child 15, E2: string
                child 16, E3: string
                child 17, H: string
                child 18, U: string
                child 19, T: string
                child 20, W: string
                child 21, K: string
                child 22, Q1: string
                child 23, Q2: string
                child 24, Q3: string
                child 25, R1: string
                child 26, R2: string
                child 27, R3: string
                child 28, S1: string
                child 29, S2: string
                child 30, S3: string
                child 31, P1: string
                child 32, P2: string
                child 33, P3: string
                child 34, V1: string
                child 35, V2: string
                child 36, V3: string
                child 37, T1: string
                child 38, T2: string
                child 39, T3: string
                child 40, U1: string
                child 41, U2: string
                child 42, U3: string
                child 43, W1: string
                child 44, W2: string
                child 45, W3: string
                child 46, X1: string
                child 47, X2: string
                child 48, X3: string
                child 49, Y1: string
                child 50, Y2: string
                child 51, Y3: string
                child 52, A1: string
                child 53, A2: string
                child 54, A3: string
                child 55, V: string
                child 56, L1: string
                child 57, L2: string
                child 58,
              ...
                child 60, Z: string
                child 61, M1: string
                child 62, M2: string
                child 63, M3: string
                child 64, E4: string
                child 65, N: string
                child 66, O: string
                child 67, N1: string
                child 68, N2: string
                child 69, N3: string
                child 70, M4: string
                child 71, F1: string
                child 72, F2: string
                child 73, D1: string
                child 74, D2: string
                child 75, D3: string
                child 76, L3: string
                child 77, L4: string
                child 78, L5: string
                child 79, L6: string
                child 80, G1: string
                child 81, G2: string
                child 82, G3: string
                child 83, G4: string
                child 84, H1: string
                child 85, H2: string
                child 86, H3: string
                child 87, K1: string
                child 88, K2: string
                child 89, K3: string
                child 90, F3: string
                child 91, H4: string
                child 92, J1: string
                child 93, J2: string
                child 94, J3: string
                child 95, F4: string
                child 96, R4: string
                child 97, R5: string
                child 98, A4: string
                child 99, C1: string
                child 100, C2: string
                child 101, C3: string
                child 102, C4: string
                child 103, F5: string
                child 104, V4: string
                child 105, Z1: string
                child 106, Z2: string
                child 107, Z3: string
                child 108, G5: string
                child 109, G6: string
                child 110, H5: string
                child 111, K4: string
                child 112, I: string
              feature: string
              complexity: string
              form_stdout: string
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              form_rc: int64
              code: string
              task_id: string
              to
              {'task_id': Value('string'), 'messages': List({'role': Value('string'), 'content': Value('string')}), 'instruction': Value('string'), 'code': Value('string'), 'form_stdout': Value('string'), 'form_rc': Value('int64')}
              because column names don't match

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FORM Code-Generation Benchmarks

Execution-verified benchmark suite for evaluating LLMs on zero-shot FORM symbolic-algebra code generation. Every task in every benchmark has been independently re-validated (instruction clarity, reference/instruction consistency, output correctness — see benchmarks/adjudication.json).

Revalidation record (v2, September 2026)

Before public release, all four benchmarks underwent a full audit and re-validation round. The machine-readable adjudication record ships in benchmarks/adjudication.json.

  • 664-det: an automated audit raised 107 flags; manual adjudication (including re-execution of all 664 references under FORM 5.0 with fresh normalized-output comparison) found all 107 to be auditor false positives (e.g. multi-stage pipelines that legitimately print intermediate results). Zero tasks changed; all published numbers for this benchmark are final.
  • Open-32: one defective task (id 5905426834, sequential #do derivative loop re-applying its rule to already-modified terms) was fixed with a single correct rule; 3 further flags were judge false positives. The judge is reference-blind, so previously judged model results carry over unchanged; the judge ceiling was re-verified at 32/32 reference solutions judged PASS.
  • Instruct-100 / Tutorial-44 (v2): an LLM audit flagged 41 of the original 101 candidate tasks and 21 of 44 tutorial tasks; adjudication confirmed 31 B2 defects (defective references replaced with FORM-verified fixes) and 9 B3 defects (dd_ rules placed before .sort, wrong wildcard dot patterns v1?.v1? vs v1?.v2?; instructions and references rewritten with verified programs). One misclassified non-executable task was dropped (100 tasks remain; the suite is named Instruct-100 accordingly). Prompt files rebuilt in chat-messages format; all models were re-run on the fixed files: scores shifted (mostly downward) for every model, rankings unchanged. Numbers published after September 2026 refer to the v2 files.
  • Strict output-match analysis (Tutorial-44 v2): re-executing every passed program and verifying its result expressions against the reference (FORM difference-to-zero check) shows that only a minority of runnable programs genuinely solve the task (per model: 32–100% of passes). The per-task adjudication data is in benchmarks/true_solve_adjudication.json.
  • Protocol notes: frontier baselines evaluated single-attempt with a 6,000-character syntax guide in context (temp 0); fine-tuned models zero-shot without docs. Local GPU-node runs were verified with FORM 4.3; laptop/cloud runs with FORM 5.0.

Files

File Tasks Metric Description
benchmarks/v3/test.jsonl 664 exact output match Deterministic tasks with expected FORM output (from reference execution)
benchmarks/splits/test.jsonl 100 syntax pass; strict output match (89 adjudicable, lower bound) Open-ended instructions with reference programs (v2, re-validated)
benchmarks/tutorial/tutorial_test_v2.jsonl 44 syntax pass; strict output match (41 adjudicable) Tasks derived from FORM tutorial programs, rewritten as plain-English instructions (v2: re-validated)
benchmarks/v3c/test_open_v2.jsonl 32 rubric (anchored judge); strict output match (22 output-determined) Open-ended generation tasks with reference programs
benchmarks/v3c/test_open_v2_docs.jsonl 32 rubric (anchored judge) Same tasks, with FORM docs prepended (for docs-in-context baselines)
benchmarks/per_task_verdicts.json Per-task verdicts (exec / rubric / strict) for all evaluated models on all four benchmarks; every aggregate verified against the paper's Table 3

Format

All files are JSONL. Two schemas:

  1. Deterministic (v3/test.jsonl): {instruction, reference_code, expected_output, feature, complexity, form_stdout}
  2. Chat-style (splits/test.jsonl, tutorial_test_v2.jsonl): {messages: [{role: user, content: instruction}, {role: assistant, content: reference program}]}

Training data: the training corpus is not part of this release; it is available from the author upon request.

Verification protocol

  • Every reference program runs through FORM 5.0 with exit code 0 and deterministic output (verifiable by re-running).
  • 664-det expected_output values were computed by executing the reference through FORM and normalizing the printed expressions.
  • Instructions contain no FORM syntax (checked programmatically) so the benchmark measures zero-shot code generation, not instruction following with scaffolding.

Evaluation

  • Output match: run generated program; compare per-expression normalized output against expected_output.
  • Syntax pass: program runs through FORM (exit 0, non-empty output, no errors).
  • Rubric (open-32): anchored judge scores each generated program against per-task requirements extracted from the instruction (PASS iff score = 1.0).

License

CC-BY-4.0. Reference programs are original or paraphrase-derived; no verbatim third-party documentation is included in the test sets.

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