Duplicate from DatologyAI/DatBench

Co-authored-by: Rishabh <rads101@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+dataset_info:
+- config_name: chart
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: question
+    dtype: string
+  - name: prompt_format
+    struct:
+    - name: prefix
+      dtype: string
+    - name: suffix
+      dtype: string
+  - name: answer
+    dtype: string
+  - name: eval_mode
+    dtype: string
+  - name: judge_prompt
+    dtype: string
+  - name: is_circular
+    dtype: bool
+  - name: source_info
+    struct:
+    - name: dataset
+      dtype: string
+    - name: original_idx
+      dtype: string
+  - name: eval_metrics
+    struct:
+    - name: discrimination
+      dtype: float64
+    - name: is_frontier
+      dtype: bool
+  - name: all_answers
+    list: string
+  - name: metadata
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 3728130586
+    num_examples: 5000
+  download_size: 3722597374
+  dataset_size: 3728130586
+- config_name: counting
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: question
+    dtype: string
+  - name: prompt_format
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+  - name: eval_mode
+    dtype: string
+  - name: judge_prompt
+    dtype: string
+  - name: is_circular
+    dtype: bool
+  - name: source_info
+    struct:
+    - name: dataset
+      dtype: string
+    - name: original_idx
+      dtype: string
+  - name: eval_metrics
+    struct:
+    - name: discrimination
+      dtype: float64
+    - name: is_frontier
+      dtype: bool
+  - name: all_answers
+    list: string
+  - name: metadata
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 1739052999
+    num_examples: 5000
+  download_size: 1737181576
+  dataset_size: 1739052999
+- config_name: document
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: question
+    dtype: string
+  - name: prompt_format
+    struct:
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+    - name: suffix
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+  - name: answer
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+  - name: eval_mode
+    dtype: string
+  - name: judge_prompt
+    dtype: string
+  - name: is_circular
+    dtype: bool
+  - name: source_info
+    struct:
+    - name: dataset
+      dtype: string
+    - name: original_idx
+      dtype: string
+  - name: eval_metrics
+    struct:
+    - name: discrimination
+      dtype: float64
+    - name: is_frontier
+      dtype: bool
+  - name: all_answers
+    list: string
+  - name: metadata
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 1170706564
+    num_examples: 5000
+  download_size: 1169470581
+  dataset_size: 1170706564
+- config_name: general
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: question
+    dtype: string
+  - name: prompt_format
+    struct:
+    - name: prefix
+      dtype: string
+    - name: suffix
+      dtype: string
+  - name: answer
+    dtype: string
+  - name: eval_mode
+    dtype: string
+  - name: judge_prompt
+    dtype: string
+  - name: is_circular
+    dtype: bool
+  - name: source_info
+    struct:
+    - name: dataset
+      dtype: string
+    - name: original_idx
+      dtype: string
+  - name: eval_metrics
+    struct:
+    - name: discrimination
+      dtype: float64
+    - name: is_frontier
+      dtype: bool
+  - name: all_answers
+    list: string
+  - name: metadata
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 2255211429
+    num_examples: 5000
+  download_size: 2252603963
+  dataset_size: 2255211429
+- config_name: grounding
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: question
+    dtype: string
+  - name: prompt_format
+    struct:
+    - name: prefix
+      dtype: string
+    - name: suffix
+      dtype: string
+  - name: answer
+    dtype: string
+  - name: eval_mode
+    dtype: string
+  - name: judge_prompt
+    dtype: string
+  - name: is_circular
+    dtype: bool
+  - name: source_info
+    struct:
+    - name: dataset
+      dtype: string
+    - name: original_idx
+      dtype: string
+  - name: eval_metrics
+    struct:
+    - name: discrimination
+      dtype: float64
+    - name: is_frontier
+      dtype: bool
+  - name: all_answers
+    list: string
+  - name: metadata
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 2553853526
+    num_examples: 5000
+  download_size: 2548172807
+  dataset_size: 2553853526
+- config_name: math
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: question
+    dtype: string
+  - name: prompt_format
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+  - name: is_circular
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+  - name: source_info
+    struct:
+    - name: dataset
+      dtype: string
+    - name: original_idx
+      dtype: string
+  - name: eval_metrics
+    struct:
+    - name: discrimination
+      dtype: float64
+    - name: is_frontier
+      dtype: bool
+  - name: all_answers
+    list: string
+  - name: metadata
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 392345748
+    num_examples: 5000
+  download_size: 383239389
+  dataset_size: 392345748
+- config_name: scene
+  features:
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+    dtype: image
+  - name: question
+    dtype: string
+  - name: prompt_format
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+    dtype: string
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+    dtype: string
+  - name: is_circular
+    dtype: bool
+  - name: source_info
+    struct:
+    - name: dataset
+      dtype: string
+    - name: original_idx
+      dtype: string
+  - name: eval_metrics
+    struct:
+    - name: discrimination
+      dtype: float64
+    - name: is_frontier
+      dtype: bool
+  - name: all_answers
+    list: string
+  - name: metadata
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 20384480581
+    num_examples: 5000
+  download_size: 20385053908
+  dataset_size: 20384480581
+- config_name: spatial
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: question
+    dtype: string
+  - name: prompt_format
+    struct:
+    - name: prefix
+      dtype: string
+    - name: suffix
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+    dtype: string
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+    dtype: string
+  - name: judge_prompt
+    dtype: string
+  - name: is_circular
+    dtype: bool
+  - name: source_info
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+    - name: dataset
+      dtype: string
+    - name: original_idx
+      dtype: string
+  - name: eval_metrics
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+    - name: discrimination
+      dtype: float64
+    - name: is_frontier
+      dtype: bool
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+    list: string
+  - name: metadata
+    dtype: string
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+  - name: test
+    num_bytes: 7523338552
+    num_examples: 3512
+  download_size: 7522664028
+  dataset_size: 7523338552
+- config_name: table
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: question
+    dtype: string
+  - name: prompt_format
+    struct:
+    - name: prefix
+      dtype: string
+    - name: suffix
+      dtype: string
+  - name: answer
+    dtype: string
+  - name: eval_mode
+    dtype: string
+  - name: judge_prompt
+    dtype: string
+  - name: is_circular
+    dtype: bool
+  - name: source_info
+    struct:
+    - name: dataset
+      dtype: string
+    - name: original_idx
+      dtype: string
+  - name: eval_metrics
+    struct:
+    - name: discrimination
+      dtype: float64
+    - name: is_frontier
+      dtype: bool
+  - name: all_answers
+    list: string
+  - name: metadata
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 4335291074
+    num_examples: 5000
+  download_size: 4330768042
+  dataset_size: 4335291074
+configs:
+- config_name: chart
+  data_files:
+  - split: test
+    path: chart/test-*
+- config_name: counting
+  data_files:
+  - split: test
+    path: counting/test-*
+- config_name: document
+  data_files:
+  - split: test
+    path: document/test-*
+- config_name: general
+  data_files:
+  - split: test
+    path: general/test-*
+- config_name: grounding
+  data_files:
+  - split: test
+    path: grounding/test-*
+- config_name: math
+  data_files:
+  - split: test
+    path: math/test-*
+- config_name: scene
+  data_files:
+  - split: test
+    path: scene/test-*
+- config_name: spatial
+  data_files:
+  - split: test
+    path: spatial/test-*
+- config_name: table
+  data_files:
+  - split: test
+    path: table/test-*
+---
+# DatBench: Discriminative, Faithful, and Efficient VLM Evaluations
+
+**DatBench** is a curated evaluation suite for **vision–language models (VLMs)** designed to be **faithful**, **discriminative**, and **efficient**.  
+
+📄 **DatBench: Discriminative, Faithful, and Efficient VLM Evaluations**  
+https://arxiv.org/abs/2601.02316
+
+Modern VLM benchmarks often overestimate model capability due to multiple-choice inflation, language-only shortcuts, annotation noise, and redundant low-signal samples. DatBench reframes evaluation as a **data curation problem**, systematically transforming and filtering existing benchmarks to recover genuine multimodal signal.
+
+---
+
+## What is DatBench?
+
+DatBench is constructed via a **four-stage curation pipeline** applied to 33 widely used VLM benchmarks spanning **9 core capabilities** (e.g., OCR, grounding, charts, math, spatial reasoning):
+
+1. **MCQ → Generative Conversion**  
+   Removes chance baselines and option bias; reveals hidden capability gaps.
+2. **Blind-Solvability Filtering**  
+   Removes questions solvable without images (language-prior leakage).
+3. **Quality Filtering with VLM-as-Judge**  
+   Discards incorrect, ambiguous, or low-resolution samples.
+4. **Discriminative Subset Selection**  
+   Retains samples with high item-discrimination to maximize signal per token.
+
+This process exposes real model differences while dramatically reducing evaluation cost.
+
+---
+
+## DatBench vs. DatBench-Full
+
+This repository is released in **two complementary variants**:
+
+### **DatBench (Efficient Subset)**
+- A **high-efficiency, high-signal** evaluation set
+- Achieves **~13× average speedup** vs. original benchmarks
+- Recommended for:
+  - Training loops
+  - Ablations
+  - Rapid iteration and model comparison
+
+### **DatBench-Full (Cleaned Full Suite)**
+- Contains **all high-quality samples** remaining after stages (1)–(3)
+- Larger and more exhaustive
+- Recommended for:
+  - Final reporting
+  - Deep-dive error analysis
+  - Comprehensive capability assessment
+
+---
+
+## Evaluation Harness
+
+We provide an official evaluation harness with standardized prompting, scoring, and reporting:
+
+💻 **Evaluation Code:**  
+https://github.com/datologyai/DatBench
+
+---
+
+## Citation
+
+If you use DatBench, please cite:
+
+```bibtex
+@misc{joshi2026datbenchdiscriminativefaithfulefficient,
+      title={DatBench: Discriminative, Faithful, and Efficient VLM Evaluations}, 
+      author={Siddharth Joshi and Haoli Yin and Rishabh Adiga and Ricardo Monti and Aldo Carranza and Alex Fang and Alvin Deng and Amro Abbas and Brett Larsen and Cody Blakeney and Darren Teh and David Schwab and Fan Pan and Haakon Mongstad and Jack Urbanek and Jason Lee and Jason Telanoff and Josh Wills and Kaleigh Mentzer and Luke Merrick and Parth Doshi and Paul Burstein and Pratyush Maini and Scott Loftin and Spandan Das and Tony Jiang and Vineeth Dorna and Zhengping Wang and Bogdan Gaza and Ari Morcos and Matthew Leavitt},
+      year={2026},
+      eprint={2601.02316},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2601.02316}, 
+}

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