Datasets:

yyeongjin
/

secret-mcp-evidence-isolation

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
request_index: int64
reference_id: string
own_reference_id_occurrences: int64
other_sampled_reference_id_occurrences: int64
include_context_none: bool
evidence_images_present: bool
output_documents: int64
vs
reference_id: string
desktop_source_height_px: int64
prepared_images: int64
image_payload_decimal_kb: double
color_measurements: int64
document_tokens_whitespace: int64
document_size_decimal_kb: double
required_headings_present: int64
required_headings_total: int64
Traceback:    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 564, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              request_index: int64
              reference_id: string
              own_reference_id_occurrences: int64
              other_sampled_reference_id_occurrences: int64
              include_context_none: bool
              evidence_images_present: bool
              output_documents: int64
              vs
              reference_id: string
              desktop_source_height_px: int64
              prepared_images: int64
              image_payload_decimal_kb: double
              color_measurements: int64
              document_tokens_whitespace: int64
              document_size_decimal_kb: double
              required_headings_present: int64
              required_headings_total: int64

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Secret MCP v0.6.0 — Evidence Isolation Evaluation Artifacts

This small dataset reproduces the descriptive measurements reported in the Secret MCP v0.6.0 README and working implementation report.

Secret MCP is a local Model Context Protocol server for evidence-backed web-design analysis. Its central execution boundary is one design reference per sampling/createMessage request and one generated DESIGN_INDEX document per reference.

Files

recorded_run_measurements.csv: per-reference measurements from preserved run 2026-07-29T15-54-10-483Z-5c70317e (n = 3).
protocol_isolation_smoke.csv: observable request-isolation results from the live smoke test (n = 2).
dataset_metadata.json: provenance, schema notes, software version, and limitations.
target-architecture.png: the project architecture figure from the repository.

Scope

The data supports a narrow claim: in the recorded tests, sampled reference IDs and output artifacts were isolated per request. It does not measure comparative design quality, model memory outside the MCP protocol, or performance against screenshot-to-code baselines.

Source and citation

Project: https://github.com/yyeongjin/secret_mcp

Software package: https://www.npmjs.com/package/secret-design-mcp

Official MCP Registry name: io.github.yyeongjin/secret-mcp

License: MIT

Software DOI: https://doi.org/10.5281/zenodo.22062038

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