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| pretty_name: CIRCUS | |
| license: other | |
| task_categories: | |
| - other | |
| language: | |
| - en | |
| tags: | |
| - composed-image-retrieval | |
| - multimodal-retrieval | |
| - benchmark-audit | |
| - multimodal-composition | |
| configs: | |
| - config_name: cirr | |
| data_files: | |
| - split: full | |
| path: data/cirr/full.parquet | |
| - split: shortcut_free | |
| path: data/cirr/shortcut_free.parquet | |
| - split: human_audited | |
| path: data/cirr/human_audited.parquet | |
| - split: validated | |
| path: data/cirr/validated.parquet | |
| - config_name: fashioniq | |
| data_files: | |
| - split: full | |
| path: data/fashioniq/full.parquet | |
| - split: shortcut_free | |
| path: data/fashioniq/shortcut_free.parquet | |
| - split: human_audited | |
| path: data/fashioniq/human_audited.parquet | |
| - split: validated | |
| path: data/fashioniq/validated.parquet | |
| - config_name: lasco | |
| data_files: | |
| - split: full | |
| path: data/lasco/full.parquet | |
| - split: shortcut_free | |
| path: data/lasco/shortcut_free.parquet | |
| - split: human_audited | |
| path: data/lasco/human_audited.parquet | |
| - split: validated | |
| path: data/lasco/validated.parquet | |
| - config_name: circo | |
| data_files: | |
| - split: full | |
| path: data/circo/full.parquet | |
| - split: shortcut_free | |
| path: data/circo/shortcut_free.parquet | |
| - split: human_audited | |
| path: data/circo/human_audited.parquet | |
| - split: validated | |
| path: data/circo/validated.parquet | |
| # CIRCUS | |
| CIRCUS (Composed Image Retrieval Cleaned of Unimodal Shortcuts) is a | |
| metadata-only diagnostic resource accompanying **Do Composed Image Retrieval | |
| Benchmarks Require Multimodal Composition?** It audits CIRR, FashionIQ, LaSCo, | |
| and CIRCO for unimodal shortcuts and validates a subset of shortcut-free queries. | |
| ## Loading | |
| ```python | |
| from datasets import load_dataset | |
| validated = load_dataset( | |
| "EdinburghNLP/CIRCUS", | |
| "cirr", | |
| split="validated", | |
| revision="v1.0", | |
| ) | |
| shortcut_free = load_dataset( | |
| "EdinburghNLP/CIRCUS", | |
| "cirr", | |
| split="shortcut_free", | |
| revision="v1.0", | |
| ) | |
| ``` | |
| Available configurations are `cirr`, `fashioniq`, `lasco`, and `circo`. Each | |
| configuration has four splits: | |
| - `full`: all original benchmark evaluation queries with automatic audit labels. | |
| - `shortcut_free`: all queries not solved by any evaluated unimodal | |
| configuration at `K=10`; this includes both composition-required and | |
| unresolved queries (CIRCUS-SF). | |
| - `human_audited`: shortcut-free queries inspected during manual validity | |
| annotation, including both valid and rejected instances. | |
| - `validated`: the human-audited queries judged to be valid CIR instances and | |
| retained in CIRCUSV. | |
| | Dataset | Full | Shortcut-free | Human-audited | Validated | | |
| |---|---:|---:|---:|---:| | |
| | CIRR | 4,170 | 685 | 685 | 303 | | |
| | FashionIQ | 6,003 | 4,069 | 2,000 | 586 | | |
| | LaSCo | 30,031 | 18,418 | 2,000 | 758 | | |
| | CIRCO | 220 | 56 | 56 | 42 | | |
| | **Total** | **40,424** | **23,228** | **4,741** | **1,689** | | |
| For FashionIQ and LaSCo, human validation uses stratified samples of 1,000 | |
| composition-required and 1,000 unresolved queries per dataset. Their validated | |
| splits are therefore validated diagnostic subsets, not complete cleanings of the | |
| full shortcut-free residues. | |
| ## Images and source datasets | |
| This repository does not contain or redistribute images. Image paths are | |
| portable identifiers relative to the corresponding source dataset. Users must | |
| obtain CIRR, FashionIQ, LaSCo, and CIRCO from their official sources and comply | |
| with each dataset's terms. | |
| The source datasets use different licenses and terms, including MIT-style terms | |
| for CIRR and LaSCo annotations, the Community Data License Agreement for | |
| FashionIQ, and CC BY-NC 4.0 for CIRCO. Underlying NLVR2 and COCO images remain | |
| subject to their original terms. The `other` license marker reflects this mixed | |
| provenance; it is not a relicensing of source data. | |
| ## Audit labels | |
| At `audit_k=10`, a query is labelled `shortcut` when at least one evaluated | |
| unimodal configuration retrieves an annotated positive in the top 10. A | |
| shortcut-free query is `composition_required` when a multimodal configuration | |
| succeeds, and `unresolved` when no evaluated multimodal configuration succeeds. | |
| These are operational benchmark labels and do not imply that shortcut-labelled | |
| queries are invalid. | |
| ## Limitations | |
| CIRCUSV is intended as a diagnostic of multimodal dependence, not a complete | |
| replacement for the original benchmarks. Human validation is complete for the | |
| CIRR and CIRCO shortcut-free residues but sampled for FashionIQ and LaSCo. The | |
| resource is metadata-only and requires separately downloaded source images. | |
| ## Citation | |
| ```bibtex | |
| @inproceedings{attimonelli2026circus, | |
| title={Do Composed Image Retrieval Benchmarks Require Multimodal Composition?}, | |
| author={Attimonelli, Matteo and De Bellis, Alessandro and Gema, Aryo Pradipta and Saxena, Rohit and Sekoyan, Monica and Kwan, Wai-Chung and Pomo, Claudio and Suglia, Alessandro and Jannach, Dietmar and Di Noia, Tommaso and Minervini, Pasquale}, | |
| booktitle={Advances in Neural Information Processing Systems}, | |
| year={2026} | |
| } | |
| ``` | |
| Code and additional documentation: | |
| <https://github.com/EdinburghNLP/CIRCUS> | |