Duplicate from MapEval/MapEval-Textual

Co-authored-by: Mahir Labib Dihan <mahirlabibdihan@users.noreply.huggingface.co>

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README.md

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+---
+license: apache-2.0
+language:
+- en
+size_categories:
+- n<1K
+task_categories:
+- question-answering
+- multiple-choice
+configs:
+- config_name: benchmark
+  data_files:
+  - split: test
+    path: dataset.json
+tags:
+- geospatial
+annotations_creators:
+- expert-generated
+paperswithcode_id: mapeval-textual
+---
+
+
+# MapEval-Textual
+
+[MapEval](https://arxiv.org/abs/2501.00316)-Textual is created using [MapQaTor](https://arxiv.org/abs/2412.21015).
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load dataset
+ds = load_dataset("MapEval/MapEval-Textual", name="benchmark")
+
+# Generate better prompts
+for item in ds["test"]:
+    # Start with a clear task description
+    prompt = (
+        "You are a highly intelligent assistant. "
+        "Based on the given context, answer the multiple-choice question by selecting the correct option.\n\n"
+        "Context:\n" + item["context"] + "\n\n"
+        "Question:\n" + item["question"] + "\n\n"
+        "Options:\n"
+    )
+    
+    # List the options more clearly
+    for i, option in enumerate(item["options"], start=1):
+        prompt += f"{i}. {option}\n"
+    
+    # Add a concluding sentence to encourage selection of the answer
+    prompt += "\nSelect the best option by choosing its number."
+
+    # Use the prompt as needed
+    print(prompt)  # Replace with your processing logic
+```
+
+## Leaderboard
+
+| Model                    | Overall | Place Info | Nearby | Routing | Trip   | Unanswerable |
+|--------------------------|:---------:|:------------:|:--------:|:---------:|:--------:|:--------------:|
+| Claude-3.5-Sonnet        | **66.33**   | **73.44**      | 73.49  | **75.76**   | **49.25**  | 40.00        |
+| Gemini-1.5-Pro           | **66.33**   | 65.63      | **74.70**  | 69.70   | 47.76  | **85.00**        |
+| GPT-4o                   | 63.33   | 64.06      | **74.70**  | 69.70   | **49.25**  | 40.00        |
+| GPT-4-Turbo              | 62.33   | 67.19      | 71.08  | 71.21   | 47.76  | 30.00        |
+| Gemini-1.5-Flash         | 58.67   | 62.50      | 67.47  | 66.67   | 38.81  | 50.00        |
+| GPT-4o-mini              | 51.00   | 46.88      | 63.86  | 57.58   | 40.30  | 25.00        |
+| GPT-3.5-Turbo            | 37.67   | 26.56      | 53.01  | 48.48   | 28.36  | 5.00         |
+| Llama-3.1-70B            | 61.00   | 70.31      | 67.47  | 69.70   | 40.30  | 45.00        |
+| Llama-3.2-90B            | 58.33   | 68.75      | 66.27  | 66.67   | 38.81  | 30.00        |
+| Qwen2.5-72B              | 57.00   | 62.50      | 71.08  | 63.64   | 41.79  | 10.00        |
+| Qwen2.5-14B              | 53.67   | 57.81      | 71.08  | 59.09   | 32.84  | 20.00        |
+| Gemma-2.0-27B            | 49.00   | 39.06      | 71.08  | 59.09   | 31.34  | 15.00        |
+| Gemma-2.0-9B             | 47.33   | 50.00      | 50.60  | 59.09   | 34.33  | 30.00        |
+| Llama-3.1-8B             | 44.00   | 53.13      | 57.83  | 45.45   | 23.88  | 20.00        |
+| Qwen2.5-7B               | 43.33   | 48.44      | 49.40  | 42.42   | 38.81  | 20.00        |
+| Mistral-Nemo             | 43.33   | 46.88      | 50.60  | 50.00   | 32.84  | 15.00        |
+| Mixtral-8x7B             | 43.00   | 53.13      | 54.22  | 45.45   | 26.87  | 10.00        |
+| Phi-3.5-mini             | 37.00   | 40.63      | 48.19  | 46.97   | 20.90  | 0.00         |
+| Llama-3.2-3B             | 33.00   | 31.25      | 49.40  | 31.82   | 25.37  | 0.00         |
+| Human                    | 86.67   | 92.19      | 90.36  | 81.81   | 88.06  | 65.00        |
+
+
+## Citation
+
+If you use this dataset, please cite the original paper:
+
+```
+@article{dihan2024mapeval,
+  title={MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models},
+  author={Dihan, Mahir Labib and Hassan, Md Tanvir and Parvez, Md Tanvir and Hasan, Md Hasebul and Alam, Md Almash and Cheema, Muhammad Aamir and Ali, Mohammed Eunus and Parvez, Md Rizwan},
+  journal={arXiv preprint arXiv:2501.00316},
+  year={2024}
+}
+```