The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7f5ab622f5f0>'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, 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 4379, 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 2661, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, 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/xml/xml.py", line 67, in _generate_tables
with open(file, encoding=self.config.encoding, errors=self.config.encoding_errors) as f:
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/streaming.py", line 73, in wrapper
return function(*args, download_config=download_config, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 967, in xopen
return open(main_hop, mode, *args, **kwargs)
FileNotFoundError: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7f5ab622f5f0>'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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Sovereign XML Compiler
Natural language → valid XML system prompts in one shot. Zero correction iterations.
Three modes using logit gating at the tokenization layer:
Modes
1. GBNF Constrained Decoding (best)
Uses llama.cpp grammar-based sampling. The model physically cannot output invalid XML. Token selection at the softmax layer is masked to enforce the grammar. Result: 100% valid XML, zero syntax errors, one pass.
# Requires llama.cpp server running
export LLAMA_URL=http://localhost:8080
python server/compiler.py --mode gbnf --input "You are a Lean 4 proof verifier..."
2. Skeleton In-Filling
LLM only fills {{PLACEHOLDER}} values. Parser injects into template.
The model never writes < or > — no tag hallucination possible.
python server/compiler.py --mode skeleton --input "You are a sovereign math agent..."
3. Dual-Pass Chain-of-XML
<thought_process> first, <xml_output> second.
Forces attention to compute correct structure before emitting markup.
python server/compiler.py --mode dual-pass --input "..."
Quick Start
export OLLAMA_URL=http://localhost:11434
export XML_MODEL=nemotron
python server/compiler.py --mode skeleton \
--input "You are a zero-sorry Lean 4 verifier. Reject any proof containing sorry." \
--output my_prompt.xml
Files
| File | Purpose |
|---|---|
grammars/sovereign_prompt.gbnf |
GBNF grammar for llama.cpp constrained decoding |
skeletons/sovereign_prompt.xml |
XML skeleton with {{PLACEHOLDER}} tokens |
server/compiler.py |
Three-mode compiler server |
The Gate Taxonomy
| Mode | Gate Type | Mechanism |
|---|---|---|
| GBNF | Weight-level structural gate | Token masking at softmax — invalid tokens → probability 0 |
| Skeleton | Context gate | LLM sees only leaf values, never writes tags |
| Dual-pass | Attention gate | CoT forces structure before syntax |
Connection to Gates Normalization
GBNF masking is P(token | grammar) = 0 for forbidden tokens.
This is the same logit gate formalism from the Gates Normalization paper:
G_P(D_M) = softmax(logits_M + b_P) where b_P = -∞ for grammar-violating tokens.
The simplex constraint holds: ∑P = 1 over the valid token set.
License
Sovereign Source License v2.0
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