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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:    ValueError
Message:      Invalid string class label sd3-edit-sweep@f085a6712f335381dc638ffde187b810f6412ed1
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 2386, in __iter__
                  example = _apply_feature_types_on_example(
                      example, self.features, token_per_repo_id=self.token_per_repo_id
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2303, in _apply_feature_types_on_example
                  encoded_example = features.encode_example(example)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2178, in encode_example
                  return encode_nested_example(self, example)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1460, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                      ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1483, in encode_nested_example
                  return schema.encode_example(obj) if obj is not None else None
                         ~~~~~~~~~~~~~~~~~~~~~^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1158, in encode_example
                  example_data = self.str2int(example_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1095, in str2int
                  output = [self._strval2int(value) for value in values]
                            ~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1116, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label sd3-edit-sweep@f085a6712f335381dc638ffde187b810f6412ed1

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SD3 edit sweep

Password-encrypted snapshot of the sd3_edit_sweep experiment folder.

The archive includes experiment code, configuration and provenance, caption-named inputs and reconstructions, per-image scores, summaries, and logs for:

  • The completed 30-image sweep: 30 existing SD3 fake images × 16 conditions, 480 results.
  • The completed 100-image expansion: 100 existing SD3 fake images × 16 conditions, 1,600 results, including the reused first 480 measurements.

Download and extraction

Download sd3_edit_sweep_20260909.zip and extract it using an AES-capable ZIP application. The archive uses AES-256 encryption. The password is provided separately by the repository owner and is not published here.

SHA256SUMS contains the archive checksum. Every included file was decrypted and checked against its original SHA-256 hash before upload. An encrypted ARCHIVE_MANIFEST.json inside the archive records the file inventory and hashes.

The snapshot excludes credential files, the local virtual environment, caches, Git internals, and runtime lock files. It contains the requested experiment folder; model weights and the original RF project outside that folder are not bundled. Reproduction requires those dependencies and adjustment of local paths.

The unencrypted repository contains only this description and the archive checksum; the experiment files are inside the password-protected ZIP.

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