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README.md

@@ -1,3 +1,13 @@
+---
+pretty_name: VisualToolBench
+tags:
+  - vision
+  - multimodal
+  - tool-use
+task_categories:
+  - visual-question-answering
+---
+
 # VisToolBench Dataset
 
 A benchmark dataset for evaluating vision-language models on tool-use tasks.
@@ -17,15 +27,13 @@ A benchmark dataset for evaluating vision-language models on tool-use tasks.
 | `num_turns` | int | Number of conversation turns (1 for single-turn) |
 | `prompt_category` | string | Task category (e.g., "medical", "scientific", "general") |
 | `eval_focus` | string | What aspect is being evaluated (e.g., "visual_reasoning", "tool_use") |
-| `image` | Image | Preview image (so HF viewer always shows an image) |
 | `turn_prompts` | List[string] | Per-turn prompts (single-turn → list of length 1) |
-| `turn_images` | List[Image] | Per-turn images (single-turn → list of length 1) |
 | `turn_golden_answers` | List[string] | Per-turn golden answers |
 | `turn_tool_trajectories` | List[string] | Per-turn tool trajectories (JSON strings) |
 | `rubrics_by_turn` | List[string] | Per-turn rubric dicts as JSON strings (includes weights + metadata) |
-| `num_images` | int | Number of turn images (usually equals `num_turns`) |
-| `images` | List[Image] | Alias of `turn_images` for HF viewer friendliness |
-| `rubrics` | string | Convenience JSON string keyed by turn (keys like `turn_1`, `turn_2`, ...) |
+| `images` | List[Image] | Flat list of all images (HF viewer shows these) |
+| `images_by_turn` | List[List[Image]] | Images grouped by turn (to know which image belongs to which turn) |
+| `num_images` | int | Total images in `images` |
 
 ## Rubrics Format
 
@@ -49,7 +57,8 @@ ds = load_dataset("path/to/dataset")
 # Access a sample
 sample = ds['test'][0]
 print(sample['turn_prompts'])       # list[str]
-print(sample['turn_images'][0])     # PIL Image (turn 1)
+print(sample['images'][0])          # PIL Image (first image overall)
+print(sample['images_by_turn'][0])  # list of PIL Images for turn 1
 
 # Parse rubrics for turn 1
 import json
@@ -62,10 +71,13 @@ for rubric_id, rubric in turn1_rubrics.items():
 
 - `test`: Full dataset (1204 samples)
 
-## License
-
-[Specify license here]
-
 ## Citation
 
-[Add citation here]
+```bibtex
+@article{guo2025beyond,
+  title={Beyond seeing: Evaluating multimodal llms on tool-enabled image perception, transformation, and reasoning},
+  author={Guo, Xingang and Tyagi, Utkarsh and Gosai, Advait and Vergara, Paula and Park, Jayeon and Montoya, Ernesto Gabriel Hern{\'a}ndez and Zhang, Chen Bo Calvin and Hu, Bin and He, Yunzhong and Liu, Bing and others},
+  journal={arXiv preprint arXiv:2510.12712},
+  year={2025}
+}
+```

manifest.json

@@ -12,15 +12,13 @@
     "num_turns",
     "prompt_category",
     "eval_focus",
-    "image",
     "turn_prompts",
-    "turn_images",
     "turn_golden_answers",
     "turn_tool_trajectories",
     "rubrics_by_turn",
     "images",
-    "rubrics",
+    "images_by_turn",
     "num_images"
   ],
-  "out_parquet": "hf_upload_final_corrected_v2/test.parquet"
+  "out_parquet": "hf_upload_final_corrected/test.parquet"
 }

test.parquet

@@ -1,3 +1,3 @@
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-oid sha256:522cbe9b0ac1b99fcebd98821a0d234526078e2cc0e42c2378c5a862422f1255
-size 10249225530
+oid sha256:d7910a5046a7c6b037d518515208bac3cb7ec4ad272340c6ed974986b3be4da6
+size 7812249877

vistoolbench_1204.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7717b54aeaf237de5c26a334e7049e94aba00988bf0e3d4bf989e22fe91cb87
+size 5981789093