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update dataset card(task_id)

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  1. README.md +0 -18
README.md CHANGED
@@ -8,7 +8,6 @@ task_categories:
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  - question-answering
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  task_ids:
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  - multiple-choice-qa
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- - multimodal-question-answering
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  pretty_name: TRIAD
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  tags:
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  - multimodal
@@ -45,7 +44,6 @@ size_categories:
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  </div>
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  ---
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-
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  ## Overview
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  TRIAD targets a failure mode common in multimodal evaluation: a model may appear to solve a multimodal task while actually relying on only one dominant modality. In TRIAD, each example is constructed so that the full tri-modal input is needed to identify the intended answer.
@@ -67,7 +65,6 @@ TRIAD targets a failure mode common in multimodal evaluation: a model may appear
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  </div>
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  ---
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-
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  ## Table of Contents
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  - [Overview](#overview)
@@ -88,7 +85,6 @@ TRIAD targets a failure mode common in multimodal evaluation: a model may appear
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  - [Double-blind Review Notice](#double-blind-review-notice)
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  ---
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-
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  ## What Makes TRIAD Different?
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  TRIAD is designed around **tri-modal irreducibility**.
@@ -113,7 +109,6 @@ The benchmark emphasizes audio cues that cannot be fully captured by a transcrip
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  - symbolic sound such as alarms, ringtones, and bells.
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  ---
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-
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  ## Repository Layout
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  ```text
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  > The exact layout may vary across release versions, but every item contains relative paths to its image and audio files.
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  ---
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-
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  ## Data Format
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  Each item is stored as a JSON object.
@@ -195,7 +189,6 @@ Each item is stored as a JSON object.
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  > **Schema note.** Downstream users should treat `options` as the canonical option field name.
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  ---
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  ## Loading the Dataset
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  ### Load JSON metadata
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  </div>
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  ---
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-
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  ## Ambiguity Taxonomy
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  Every item receives one leaf-level ambiguity label for each modality.
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  | **Symbolic** | 20 | Non-linguistic auditory symbols such as alarms, bells, ringtones, or notifications. |
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  ---
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-
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  ## Recommended Evaluation Protocol
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  The standard TRIAD evaluation provides the model with:
@@ -369,7 +360,6 @@ Options:
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  Answer with a single option key.
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  ```
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-
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  ### Metrics
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  | Metric | Description |
@@ -378,7 +368,6 @@ Answer with a single option key.
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  | Group-level accuracy | Accuracy aggregated over scenario groups to reduce over-counting of sister examples. |
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  ---
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  ## Intended Uses
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  TRIAD is intended for:
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  - analyzing which ambiguity types are hardest for different model families.
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  ---
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  ## Out-of-Scope Uses
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  TRIAD is **not** intended for:
@@ -409,7 +397,6 @@ TRIAD is **not** intended for:
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  > TRIAD is diagnostic by design. It should not be treated as a representative sample of real-world multimodal interactions.
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  ---
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  ## Data Collection and Annotation
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  TRIAD was constructed by designing everyday scenarios in which text, image, and audio jointly determine the intended answer.
@@ -426,7 +413,6 @@ Each item is annotated with:
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  Items were reviewed to reduce degenerate cases where the answer can be determined from only one or two modalities.
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  ---
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  ## Responsible AI Considerations
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  <details open>
@@ -466,7 +452,6 @@ The dataset contains English, Chinese, and mixed-language examples. Results may
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  </details>
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  ---
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  ## Licensing
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  The license metadata is set to `other` because TRIAD may include different license terms for metadata, annotations, images, and audio.
@@ -483,7 +468,6 @@ Users should consult the accompanying attribution metadata before redistribution
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  During double-blind review, author and institution information is anonymized. Final licensing and attribution details will be completed in the camera-ready release.
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  ---
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  ## Citation
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  Citation information will be added after the double-blind review period.
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  ```
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  ---
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  ## Maintenance
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  The dataset will be versioned. Errata, corrected annotations, and future extensions will be documented in the repository release history.
@@ -506,7 +489,6 @@ The dataset will be versioned. Errata, corrected annotations, and future extensi
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  For the anonymous review version, contact information is withheld to preserve double-blind review. A public maintainer contact will be added after the review period.
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  ---
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  ## Double-blind Review Notice
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  This repository is prepared for anonymous peer review. Please do not infer author identity from repository ownership, commit metadata, or temporary hosting information. Any non-anonymous information will be added after the review period.
 
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  - question-answering
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  task_ids:
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  - multiple-choice-qa
 
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  pretty_name: TRIAD
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  tags:
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  - multimodal
 
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  </div>
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  ---
 
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  ## Overview
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  TRIAD targets a failure mode common in multimodal evaluation: a model may appear to solve a multimodal task while actually relying on only one dominant modality. In TRIAD, each example is constructed so that the full tri-modal input is needed to identify the intended answer.
 
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  </div>
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  ---
 
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  ## Table of Contents
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  - [Overview](#overview)
 
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  - [Double-blind Review Notice](#double-blind-review-notice)
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  ---
 
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  ## What Makes TRIAD Different?
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  TRIAD is designed around **tri-modal irreducibility**.
 
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  - symbolic sound such as alarms, ringtones, and bells.
110
 
111
  ---
 
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  ## Repository Layout
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  ```text
 
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  > The exact layout may vary across release versions, but every item contains relative paths to its image and audio files.
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  ---
 
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  ## Data Format
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  Each item is stored as a JSON object.
 
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  > **Schema note.** Downstream users should treat `options` as the canonical option field name.
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  ---
 
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  ## Loading the Dataset
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  ### Load JSON metadata
 
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  </div>
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  ---
 
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  ## Ambiguity Taxonomy
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  Every item receives one leaf-level ambiguity label for each modality.
 
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  | **Symbolic** | 20 | Non-linguistic auditory symbols such as alarms, bells, ringtones, or notifications. |
311
 
312
  ---
 
313
  ## Recommended Evaluation Protocol
314
 
315
  The standard TRIAD evaluation provides the model with:
 
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  Answer with a single option key.
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  ```
 
363
  ### Metrics
364
 
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  | Metric | Description |
 
368
  | Group-level accuracy | Accuracy aggregated over scenario groups to reduce over-counting of sister examples. |
369
 
370
  ---
 
371
  ## Intended Uses
372
 
373
  TRIAD is intended for:
 
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  - analyzing which ambiguity types are hardest for different model families.
381
 
382
  ---
 
383
  ## Out-of-Scope Uses
384
 
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  TRIAD is **not** intended for:
 
397
  > TRIAD is diagnostic by design. It should not be treated as a representative sample of real-world multimodal interactions.
398
 
399
  ---
 
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  ## Data Collection and Annotation
401
 
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  TRIAD was constructed by designing everyday scenarios in which text, image, and audio jointly determine the intended answer.
 
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  Items were reviewed to reduce degenerate cases where the answer can be determined from only one or two modalities.
414
 
415
  ---
 
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  ## Responsible AI Considerations
417
 
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  <details open>
 
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  </details>
453
 
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  ---
 
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  ## Licensing
456
 
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  The license metadata is set to `other` because TRIAD may include different license terms for metadata, annotations, images, and audio.
 
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  During double-blind review, author and institution information is anonymized. Final licensing and attribution details will be completed in the camera-ready release.
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  ---
 
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  ## Citation
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  Citation information will be added after the double-blind review period.
 
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  ```
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  ---
 
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  ## Maintenance
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  The dataset will be versioned. Errata, corrected annotations, and future extensions will be documented in the repository release history.
 
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  For the anonymous review version, contact information is withheld to preserve double-blind review. A public maintainer contact will be added after the review period.
490
 
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  ---
 
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  ## Double-blind Review Notice
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  This repository is prepared for anonymous peer review. Please do not infer author identity from repository ownership, commit metadata, or temporary hosting information. Any non-anonymous information will be added after the review period.