publish CIRCUS v1.0 dataset.

README.md

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+---
+pretty_name: CIRCUS
+license: other
+task_categories:
+- image-retrieval
+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("YOUR_ORG/CIRCUS", "cirr", split="validated")
+shortcut_free = load_dataset("YOUR_ORG/CIRCUS", "cirr", split="shortcut_free")
+```
+
+Available configurations are `cirr`, `fashioniq`, `lasco`, and `circo`. Each
+configuration has four splits:
+
+- `full`: all benchmark queries with automatic audit labels.
+- `shortcut_free`: composition-required and unresolved queries.
+- `human_audited`: shortcut-free queries inspected during human validation.
+- `validated`: human-audited queries judged to be valid CIR instances (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>

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release_manifest.json

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+{
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+  "counts": {
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+      "human_audited": 56,
+      "shortcut_free": 56,
+      "validated": 42
+    },
+    "cirr": {
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+      "human_audited": 685,
+      "shortcut_free": 685,
+      "validated": 303
+    },
+    "fashioniq": {
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+      "human_audited": 2000,
+      "shortcut_free": 4069,
+      "validated": 586
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+    "lasco": {
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+      "human_audited": 2000,
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+      "validated": 758
+    }
+  },
+  "created_at_utc": "2026-11-02T11:40:44.728180+00:00",
+  "input_sha256": {
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+  "release": "v1.0",
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+      "source_query_rows": 220
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+  }
+}