Datasets:

cjerzak
/

MultimodalMathBenchmarks

This PR improves the dataset card by:
- Adding the relevant task categories (`image-text-to-text`, `audio-text-to-text`, `text-generation`) based on the multimodal nature of the benchmark.
- Linking the dataset to the original research paper: [Multiplication in Multimodal LLMs: Computation with Text, Image, and Audio Inputs](https://huggingface.co/papers/2604.18203).
- Adding descriptive tags and language metadata to improve discoverability.

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README.md +90 -103

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----
-license: gpl-2.0
----
-# MultimodalMathBenchmarks
-This file describes the canonical dataset release to publish from this
-repository to `cjerzak/MultimodalMathBenchmarks`. It covers the public benchmark datasets and their modality assets.
-## Canonical Upload Manifest
-Upload the following local sources from `SavedData/` to the dataset repo root on Hugging Face:
-| HF path | Local source | Count | Purpose |
-| --- | --- | ---: | --- |
-| `SharedMultimodalGrid.csv` | `SavedData/SharedMultimodalGrid.csv` | 10,000 rows | Canonical metadata table for the paired multimodal multiplication benchmark |
-| `TextFiles/` | `SavedData/TextFiles/` | 10,000 `.txt` files | Text renderings for `mm_*` benchmark items |
-| `Images/` | `SavedData/Images/` | 10,000 `.png` files | Image renderings for `mm_*` benchmark items |
-| `AudioFiles/` | `SavedData/AudioFiles/` | 10,000 `.mp3` files | Audio renderings for `mm_*` benchmark items |
-| `HDSv2.csv` | `SavedData/HDSv2.csv` | 1,000 rows | Canonical heuristic-disagreement probe set |
-| `HDSv2Images/` | `SavedData/HDSv2Images/` | 144 `.png` files | Image renderings for the `HDSv2` test split only |
-| `Trapsv2.csv` | `SavedData/Trapsv2.csv` | 30 rows | Canonical adversarial trap set |
-| `Trapsv2Images/` | `SavedData/Trapsv2Images/` | 30 `.png` files | Image renderings for every trap item |
-## Dataset Summary
-The release contains three benchmark families:
-1. `SharedMultimodalGrid.csv`
-   - 10,000 shared multiplication problems paired across text, image, and audio.
-   - Split counts: `train=7026`, `val=1416`, `test=1558`.
-   - Each row uses an `mm_XXXXX` ID that maps directly to:
-     - `TextFiles/mm_XXXXX.txt`
-     - `Images/mm_XXXXX.png`
-     - `AudioFiles/mm_XXXXX.mp3`
-2. `HDSv2.csv`
-   - 1,000 heuristic-disagreement problems for fingerprinting and probe-style evaluation.
-   - Split counts: `train=701`, `val=155`, `test=144`.
-   - `HDSv2Images/` contains exactly the 144 `test`-split item IDs from `HDSv2.csv`.
-3. `Trapsv2.csv`
-   - 30 adversarial trap problems designed to target heuristic-specific failures.
-   - No split column; all rows are held-out trap items.
-   - `Trapsv2Images/` contains one PNG for every row in `Trapsv2.csv`.
-## Dataset Structure
-### Shared Multimodal Grid
-Canonical table: `SharedMultimodalGrid.csv`
-Columns:
-`id, a, b, a_times_b, template_a, template_b, digits_a, digits_b, nonzero_a, nonzero_b, digit_total, nonzero_total, complexity_c, stratum_id, split`
-Notes:
-- `id` is the stable benchmark ID, e.g. `mm_00001`.
-- `a`, `b`, and `a_times_b` are the multiplication operands and exact product.
-- `template_a` and `template_b` record the rendering template choices used for the paired benchmark export.
-- `digit_total`, `nonzero_total`, and `complexity_c` support difficulty analyses.
-- `split` is the deterministic train/val/test assignment used by the pipeline.
-### HDSv2
-Canonical table: `HDSv2.csv`
-Columns:
-`id, a, b, product, design_family, canonical_target_heuristic, canonical_target_margin, ot_cost, dd_cost, rc_cost, heuristic_definition_version, target_heuristic, ot_score, dd_score, rc_score, category, notes, digit_total, nonzero_total, complexity_c, split`
-Notes:
-- `design_family` is the construction family used to generate the item.
-- `canonical_target_heuristic` is the v2 cost-model winner.
-- `target_heuristic`, `ot_score`, `dd_score`, and `rc_score` are retained as legacy compatibility fields.
-- `heuristic_definition_version` identifies the versioned heuristic labeling scheme.
-### Trapsv2
-Canonical table: `Trapsv2.csv`
-Columns:
-`id, a, b, product, trap_type, design_family, canonical_target_heuristic, heuristic_definition_version, target_heuristic, expected_error_type, notes, digit_total, nonzero_total, complexity_c`
-Notes:
-- `trap_type` names the adversarial construction family.
-- `expected_error_type` records the characteristic failure pattern the trap is intended to expose.
-- In the checked-in v2 export, `design_family`, `canonical_target_heuristic`, and `target_heuristic` align by construction.
-## Modality and Evaluation Notes
-- The paired multimodal benchmark includes text, image, and audio assets.
-- The current Qwen experiments in this repository evaluate text and image, not audio.
-- `HDSv2Images/` is intentionally a test-only image release for probe evaluation.
-- `Trapsv2Images/` covers the full trap set.
-## Release Notes
-- The Hugging Face dataset repo is currently configured with the `gpl-2.0` license.

+---
+license: gpl-2.0
+task_categories:
+- image-text-to-text
+- audio-text-to-text
+- text-generation
+language:
+- en
+tags:
+- mathematics
+- arithmetic
+- multimodal
+---
+# MultimodalMathBenchmarks
+This repository contains the datasets for the paper [Multiplication in Multimodal LLMs: Computation with Text, Image, and Audio Inputs](https://huggingface.co/papers/2604.18203).
+It covers the public benchmark datasets and their modality assets (text, images, and audio) used to evaluate the arithmetic capabilities of multimodal LLMs.
+## Canonical Upload Manifest
+| HF path | Local source | Count | Purpose |
+| --- | --- | ---: | --- |
+| `SharedMultimodalGrid.csv` | `SavedData/SharedMultimodalGrid.csv` | 10,000 rows | Canonical metadata table for the paired multimodal multiplication benchmark |
+| `TextFiles/` | `SavedData/TextFiles/` | 10,000 `.txt` files | Text renderings for `mm_*` benchmark items |
+| `Images/` | `SavedData/Images/` | 10,000 `.png` files | Image renderings for `mm_*` benchmark items |
+| `AudioFiles/` | `SavedData/AudioFiles/` | 10,000 `.mp3` files | Audio renderings for `mm_*` benchmark items |
+| `HDSv2.csv` | `SavedData/HDSv2.csv` | 1,000 rows | Canonical heuristic-disagreement probe set |
+| `HDSv2Images/` | `SavedData/HDSv2Images/` | 144 `.png` files | Image renderings for the `HDSv2` test split only |
+| `Trapsv2.csv` | `SavedData/Trapsv2.csv` | 30 rows | Canonical adversarial trap set |
+| `Trapsv2Images/` | `SavedData/Trapsv2Images/` | 30 `.png` files | Image renderings for every trap item |
+## Dataset Summary
+The release contains three benchmark families:
+1. `SharedMultimodalGrid.csv`
+   - 10,000 shared multiplication problems paired across text, image, and audio.
+   - Split counts: `train=7026`, `val=1416`, `test=1558`.
+   - Each row uses an `mm_XXXXX` ID that maps directly to:
+     - `TextFiles/mm_XXXXX.txt`
+     - `Images/mm_XXXXX.png`
+     - `AudioFiles/mm_XXXXX.mp3`
+2. `HDSv2.csv`
+   - 1,000 heuristic-disagreement problems for fingerprinting and probe-style evaluation.
+   - Split counts: `train=701`, `val=155`, `test=144`.
+   - `HDSv2Images/` contains exactly the 144 `test`-split item IDs from `HDSv2.csv`.
+3. `Trapsv2.csv`
+   - 30 adversarial trap problems designed to target heuristic-specific failures.
+   - No split column; all rows are held-out trap items.
+   - `Trapsv2Images/` contains one PNG for every row in `Trapsv2.csv`.
+## Dataset Structure
+### Shared Multimodal Grid
+Canonical table: `SharedMultimodalGrid.csv`
+Columns:
+`id, a, b, a_times_b, template_a, template_b, digits_a, digits_b, nonzero_a, nonzero_b, digit_total, nonzero_total, complexity_c, stratum_id, split`
+Notes:
+- `id` is the stable benchmark ID, e.g. `mm_00001`.
+- `a`, `b`, and `a_times_b` are the multiplication operands and exact product.
+- `digit_total`, `nonzero_total`, and `complexity_c` support difficulty analyses.
+- `split` is the deterministic train/val/test assignment used by the pipeline.
+### HDSv2
+Canonical table: `HDSv2.csv`
+Columns:
+`id, a, b, product, design_family, canonical_target_heuristic, canonical_target_margin, ot_cost, dd_cost, rc_cost, heuristic_definition_version, target_heuristic, ot_score, dd_score, rc_score, category, notes, digit_total, nonzero_total, complexity_c, split`
+### Trapsv2
+Canonical table: `Trapsv2.csv`
+Columns:
+`id, a, b, product, trap_type, design_family, canonical_target_heuristic, heuristic_definition_version, target_heuristic, expected_error_type, notes, digit_total, nonzero_total, complexity_c`
+## Modality and Evaluation Notes
+- The paired multimodal benchmark includes text, image, and audio assets.
+- `HDSv2Images/` is intentionally a test-only image release for probe evaluation.
+- `Trapsv2Images/` covers the full trap set.
+- Studies on this dataset show that accuracy falls sharply as arithmetic load $C$ (the product of total and non-zero digit count) grows.