Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 197, in _split_generators
                  raise ValueError(f"Found metadata files with different extensions: {list(metadata_ext)}")
              ValueError: Found metadata files with different extensions: ['.csv', '.jsonl']
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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.

DATA 266 — Stable Diffusion 1.5 LoRA Evaluation

Dataset Description

This dataset contains generated evaluation images from an academic comparison of the original Stable Diffusion 1.5 model, a rank-4 LoRA adapter, and a rank-16 LoRA adapter.

It contains 120 scheduled generation records and 116 approved image files.

Four outputs were flagged by the original Stable Diffusion safety checker. Their metadata is retained, but no approved image is published for those attempts.

Model Repositories

  • Base: stable-diffusion-v1-5/stable-diffusion-v1-5
  • Rank 4: haritha12345/data266-pokemon-sd15-lora-rank4
  • Rank 16: haritha12345/data266-pokemon-sd15-lora-rank16

Evaluation Protocol

  • 20 fixed prompts
  • 10 in-domain prompts
  • 5 out-of-domain prompts
  • 5 compositional prompts
  • Seeds: 0 and 1
  • Three model configurations
  • Image size: 512 × 512
  • Inference steps: 25
  • Guidance scale: 7.5
  • Scheduler: PNDM
  • Safety checker: enabled

The benchmark configuration is stored in benchmark_plan.json.

Files

  • metadata.jsonl: all 120 generation attempts
  • metadata.csv: tabular representation of all records
  • benchmark_plan.json: fixed generation configuration
  • images/: 116 approved PNG images

The image column contains a relative path to the associated approved PNG. It is null for safety-flagged generations.

Safety and Evaluation Limitations

Safety flags are automated model decisions, not independent confirmation that flagged images contain prohibited content.

Generated images may contain compositional errors, unwanted artifacts, or representations resembling existing fictional characters.

Quality metrics were calculated separately. Safety-flagged outputs were excluded from image-quality scoring.

Dataset Provenance and Licensing

This repository contains generated evaluation images, not the original training or held-out reference images.

Fine-tuning used reach-vb/pokemon-blip-captions (CC BY-NC-SA 4.0) and the Stable Diffusion 1.5 base model (CreativeML OpenRAIL-M).

The applicable base-model license, source-dataset terms, and potential third-party character rights should be reviewed before reuse or redistribution.

No unrestricted commercial license is asserted for the generated images.

Responsible Use

This dataset is intended for academic evaluation and reproducibility, not for commercial merchandising or claims of ownership over third-party fictional characters.

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