Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Invalid value. in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
                  df = pandas_read_json(f)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                  ~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
                  ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
                  yield from 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 327, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Eta-Quotients in Lean 4

Machine-checked Lean 4 formalization of the arithmetic and analytic layers of Ligozat's criterion for eta-quotients

f(z)  =  δNη(δz)rδf(z) \;=\; \prod_{\delta \mid N} \eta(\delta z)^{r_\delta}

together with a precisely named obstruction to the general case.

⚠️ PREPRINT — not peer reviewed. The Lean development compiles and is axiom-audited; those claims are machine-checked. The paper's exposition has had no external referee.

DOI: 10.5281/zenodo.22648098 (all versions) · Author: Xavier Callens · Code: SocrateAI-Lean-Lib · Paper: SocrateAI-Scientific-Communication

Read the scope before citing

Three results at three different strengths. The difference matters:

Result Scope
General Two-sided Θ-asymptotic for $\lVert f\vert_k\gamma\rVert$ at every cusp All $N$, all $\gamma \in SL_2(\mathbb{Z})$ — no congruence, no $\Gamma_0(N)$-membership
General Order at $\infty$ in Mathlib's own meromorphicOrderAt/cuspFunction language All $N$
Bounded Full Ligozat transformation law $f(\gamma z) = w(\gamma)(cz+d)^k f(z)$ on all of $\Gamma_0(N)$, character identified Only $N \in {1,2,3,4,5,7,13}$
Obstructed Ligozat for general $N$ Not proved. See below.

The DAG node ETA-01 (the general criterion) remains open with lean_name: null. This artifact does not claim it.

The obstruction, stated exactly

The multiplier is $w(\gamma) = \exp!\big(\tfrac{\pi i}{12},\mathrm{per}(\gamma)\big)$, where $\mathrm{per}$ is the period cocycle of the weight-two quasi-modular combination $\sum_\delta r_\delta,\delta,E_2(\delta z)$ — exactly the integration constant that both the logDeriv route and the 24th-power route erase. For a single $\eta$ that period function is Rademacher's $\Phi$, whose non-coboundary content is the Dedekind sum $s(d,|c|)$.

Mathlib contains no Dedekind sums. Evaluating $w$ on one hyperbolic element of $\Gamma_0(11)$ is equivalent to evaluating a Dedekind sum. Every disguise tried — Atkin–Lehner conjugation, theta/Poisson, Wohlfahrt level-24 — reduces back to it.

MATHLIB_PR.md names the minimal Mathlib addition that would remove it, and argues that Rademacher's $\Phi$ is best built as the period of $E_2$ on the E2_slash_action machinery Mathlib already has.

Verification

lake build SocrateAI3462 jobs, 0 errors, 0 sorry. Lean 4.32.2, Mathlib 905b9581. 519 declarations in 8117 lines. 391 build-failing #guard_msgs in #print axioms guards over 389 distinct theorems; 370 report exactly [propext, Classical.choice, Quot.sound]. A negative control asserting a deliberately wrong footprint is verified to fail, which is what makes the guards load-bearing rather than vacuous.

Of the 453 theorems in the new modules, 14 (3%) have a one-line rfl/decide proof and 45% quantify over a structure. This ratio is reported because an earlier module in this project was 174 numeral identities of which 158 were one-line and carried no evidential weight.

A correction we made to our own specification

The cusp-order node was originally specified with the Θ-exponent written as Ligozat's $\mathrm{ord}(N,r,d)$. That statement is false. Ligozat's order is taken in the local uniformiser $q_h$ at a cusp of width $h = N/\gcd(d^2,N)$, so a decay statement in $\mathrm{Im},z$ carries exponent $\mathrm{ord}/h$. The corrected statement is what was proved, and the discrepancy is stated in the paper rather than quietly matched. Ligozat's positivity condition is unaffected ($h > 0$).

Prior art

Mathlib has $\eta$ (DedekindEta.lean, and the $S$-transformation in Discriminant.lean) but no eta-quotients: EtaQuotient, Ligozat, DedekindSum, etaMultiplier all return zero. anthropics/fermats-last-theorem contains eta material, but it is about modular units on modular function fields; its three Ligozat occurrences are namespace labels (LigozatUnitEngine, LigozatUnitAL), not the criterion. GitHub-wide language:lean returns 0 for Ligozat. Not checked: Lean Zulip, open mathlib4 PRs.

Reproducing this

git clone https://github.com/xaviercallens/SocrateAI-Lean-Lib
cd SocrateAI-Lean-Lib
lake exe cache get      # ~5 GB of prebuilt Mathlib oleans
lake build SocrateAI    # 3462 jobs, 0 errors

The build configuration is portable: lakefile.lean requires Mathlib from git at the pinned revision 905b95818eb3…, lean-toolchain matches, and no tracked file contains a machine-specific path. See BUILDING.md.

Earlier versions of this card said the artifact was not third-party buildable. That was true, and understated — the published lakefile.lean declared no Mathlib dependency at all and its lean-toolchain named a different compiler version. Both are fixed.

Citation

@misc{callens2026etaquotients,
  author = {Callens, Xavier},
  title  = {Eta-Quotients in Lean 4: Cusp Orders at Every Cusp, Ligozat's Criterion
            at Small Level, and a Named Obstruction at General Level},
  year   = {2026},
  doi    = {10.5281/zenodo.22648098},
  note   = {Preprint, not peer reviewed. Ligozat proved only for N in {1,2,3,4,5,7,13}},
  url    = {https://doi.org/10.5281/zenodo.22648098}
}
Downloads last month
-