Datasets:

oking0197
/

FIKA-Bench

pretty_name: FIKA-Bench
license: other
language:
  - zh
  - en
task_categories:
  - visual-question-answering
tags:
  - image
  - fine-grained-recognition
  - fine-grained-knowledge
  - agent-evaluation
size_categories:
  - n<1K
gated: true
extra_gated_heading: Request access to FIKA-Bench
extra_gated_description: >-
  Access is manually reviewed. Please provide your real name, affiliation, and a
  verifiable institutional email address.
extra_gated_button_content: Submit access request
extra_gated_prompt: >
  FIKA-Bench is released for non-commercial research and benchmark evaluation.
  By requesting access, you agree not to redistribute the dataset, annotations,
  answers, evidence links, or substantially equivalent derived files on the
  Internet or other public platforms. This restriction is important for
  preserving fair agent and model evaluation, because public copies of the
  ground-truth answers or evidence could allow future systems to retrieve the
  benchmark directly and produce unfair results.
extra_gated_fields:
  Full name: text
  Affiliation / institution: text
  Verifiable institutional email: text
  Intended use:
    type: select
    options:
      - Academic research
      - Benchmark reproduction
      - Non-commercial model evaluation
      - label: Other non-commercial research
        value: other_noncommercial_research
  I agree not to redistribute FIKA-Bench files, annotations, answers, evidence links, or substantially equivalent derived files on the Internet or other public platforms: checkbox
  I agree not to use the ground-truth answers, fine-grained labels, evidence links, or annotations as training data, retrieval data, prompt context, memory, or tool-accessible resources for models evaluated on FIKA-Bench: checkbox
  I agree to follow the FIKA-Bench Research and Evaluation License: checkbox

FIKA-Bench: From Fine-grained Recognition to Fine-Grained Knowledge Acquisition

FIKA-Bench is a fine-grained visual knowledge acquisition benchmark for evaluating whether multimodal models and agentic systems can go beyond recognizing a fine-grained visual entity and answer knowledge-intensive questions about it. The benchmark contains image-question-answer samples across real-life and public-image sources, with bilingual category taxonomy and evidence supporting each gold answer.

Files

This Hugging Face repository distributes the benchmark as a gated archive:

README.md
LICENSE
fika-bench-testset.zip
fika-bench-testset.sha256

After extracting fika-bench-testset.zip, the benchmark files have the following structure:

data/
├── README.md
├── manifest.jsonl
├── agent_manifest.jsonl
├── taxonomy.json
├── taxonomy.tsv
├── checksums.sha256
└── images/

manifest.jsonl: canonical test manifest for standard local/API evaluation.
agent_manifest.jsonl: derived compatibility manifest for OpenClaw/OpenCode-style evaluation.
images/: redacted test images with EXIF metadata removed.
taxonomy.json / taxonomy.tsv: bilingual category taxonomy.
checksums.sha256: checksums for files in this package.

In manifest.jsonl, answer is the canonical gold answer used for evaluation. fine_label stores the fine-grained annotation label associated with the sample; in the current version, it matches answer after normal whitespace trimming. evidence records a supporting source for the gold answer.

Download and Use

After your access request is approved, download the archive with the Hugging Face CLI:

hf auth login
hf download oking0197/FIKA-Bench --repo-type dataset --local-dir ../release

For reproduction with the official code repository, place or download fika-bench-testset.zip under ../release/ relative to the cloned repository:

/path/to/workdir/
├── release/
│   └── fika-bench-testset.zip
└── fika-bench/

The evaluation scripts automatically extract the archive when data/manifest.jsonl is missing. You can also extract it manually from the repository root:

unzip ../release/fika-bench-testset.zip

Dataset Statistics

Total samples: 311.
Real-life samples: 116.
Public-source samples: 195.
Top-level categories: Product, Nature, Transport, and Culture.

License

The benchmark package is released under the FIKA-Bench Research and Evaluation License included with this dataset. The license applies to the FIKA-Bench benchmark package and annotations, including questions, answers, fine-grained labels, evidence links, taxonomy metadata, manifests, and benchmark organization.

Images and other third-party materials remain subject to their original licenses, terms, and rights. This dataset license does not supersede any third-party license that applies to an individual image or source item.

Citation

If you use FIKA-Bench, please cite:

@misc{li2026fikabenchfinegrainedrecognitionfinegrained,
      title={FIKA-Bench: From Fine-grained Recognition to Fine-Grained Knowledge Acquisition},
      author={Geng Li and Yuxin Peng},
      year={2026},
      eprint={2605.13193},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2605.13193},
}