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@@ -73,12 +73,11 @@ Each example typically contains the following components:
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  | Field | Description |
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  | ------------------ | --------------------------------------------------------------------------------------------------------------------------- |
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  | `question` | The text of the STEM reasoning problem. |
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- | `image` / `images` | The visual input associated with the problem. This may be a single image, a multi-panel image, or multiple separate images. |
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  | `format` | The multimodal format label, such as `single_image`, `multi_panel`, or `multi_image`. |
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- | `subject` | The scientific domain, such as `Physics`, `Mathematics`, `Biology`, or `Chemistry`. |
 
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  | `answer` | The deterministic ground-truth final answer. |
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- | `answer_type` | The expected answer form, such as numeric, symbolic, equation, short text, or LaTeX. |
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- | `metadata` | Optional evaluation annotations, such as difficulty, grading method, units, or tolerance. |
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  Exact field names may vary by release version.
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@@ -87,15 +86,11 @@ Exact field names may vary by release version.
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  ```json
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  {
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  "question": "Given the visual input, determine the final value of the requested quantity.",
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- "images": ["image_001.png"],
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  "format": "single_image",
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- "subject": "Physics",
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- "answer": "42",
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- "answer_type": "numeric",
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- "metadata": {
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- "difficulty": "PhD-level",
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- "grading_method": "numerical_tolerance"
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- }
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  }
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  ```
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@@ -261,7 +256,7 @@ The goal of these extensions is to preserve the dataset's verifiability while ma
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  If you use Open-MM-RL, please cite the dataset as follows:
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  ```bibtex
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- @dataset{patil2026openmmrl,
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  title = {Open-MM-RL: A Multimodal STEM Reasoning Dataset},
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  author = {
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  Shukla, Chinmayee and
@@ -272,9 +267,8 @@ If you use Open-MM-RL, please cite the dataset as follows:
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  Ukarde, Tejas Mohan and
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  Bertollo, Amanda Gollo and
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  Pande, Seetesh and
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- Verma, Divya and
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- Pooja and
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- Ramakrishnan and
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  Kumari, Surbhi and
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  Seth, Harshita and
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  Nazim, Muhammad and
@@ -290,6 +284,6 @@ If you use Open-MM-RL, please cite the dataset as follows:
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  },
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  year = {2026},
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  publisher = {Hugging Face},
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- howpublished = {\\url{https://huggingface.co/datasets/TuringEnterprises/Open-MM-RL/}}
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  }
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  ```
 
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  | Field | Description |
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  | ------------------ | --------------------------------------------------------------------------------------------------------------------------- |
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  | `question` | The text of the STEM reasoning problem. |
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+ | `files` | The visual input associated with the problem. This may be a single image, a multi-panel image, or multiple separate images. |
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  | `format` | The multimodal format label, such as `single_image`, `multi_panel`, or `multi_image`. |
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+ | `domain` | The scientific domain, such as `Physics`, `Mathematics`, `Biology`, or `Chemistry`. |
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+ | `subDomain` | The subdomain in `Physics`, `Mathematics`, `Biology`, or `Chemistry`. |
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  | `answer` | The deterministic ground-truth final answer. |
 
 
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  Exact field names may vary by release version.
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  ```json
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  {
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  "question": "Given the visual input, determine the final value of the requested quantity.",
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+ "files": ["image_001.png"],
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  "format": "single_image",
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+ "domain": "Physics",
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+ "subDomain": "High-energy particle physics"
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+ "answer": "42",
 
 
 
 
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  }
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  ```
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  If you use Open-MM-RL, please cite the dataset as follows:
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  ```bibtex
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+ @dataset{ turing_2026_open_mm_rl,
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  title = {Open-MM-RL: A Multimodal STEM Reasoning Dataset},
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  author = {
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  Shukla, Chinmayee and
 
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  Ukarde, Tejas Mohan and
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  Bertollo, Amanda Gollo and
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  Pande, Seetesh and
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+ Verma, Divya and
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+ Ramakrishnan, Pooja and
 
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  Kumari, Surbhi and
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  Seth, Harshita and
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  Nazim, Muhammad and
 
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  },
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  year = {2026},
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  publisher = {Hugging Face},
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+ url = {https://huggingface.co/datasets/TuringEnterprises/Open-MM-RL/}
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  }
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  ```