| --- |
| license: cc-by-4.0 |
| task_categories: |
| - visual-question-answering |
| language: |
| - en |
| tags: |
| - benchmark |
| - biology |
| - diagram-understanding |
| - vision-language |
| - no-image-control |
| - sample |
| size_categories: |
| - n<20 |
| dataset_info: |
| features: |
| - name: item_id |
| dtype: string |
| - name: model |
| dtype: string |
| - name: condition |
| dtype: string |
| - name: f1 |
| dtype: float64 |
| - name: precision |
| dtype: float64 |
| - name: recall |
| dtype: float64 |
| - name: n_pred |
| dtype: int64 |
| - name: n_key |
| dtype: int64 |
| - name: predicted_names |
| list: string |
| - name: key_names |
| list: string |
| - name: subject |
| dtype: string |
| - name: tier |
| dtype: string |
| - name: unsolved_core |
| dtype: bool |
| - name: recitable |
| dtype: bool |
| - name: parse_ok |
| dtype: bool |
| - name: unlabeled_image |
| dtype: image |
| - name: labeled_image |
| dtype: image |
| splits: |
| - name: train |
| num_bytes: 5287793 |
| num_examples: 10 |
| download_size: 5295647 |
| dataset_size: 5287793 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # BLINDSPOT — Public Sample (10 rows) |
|
|
| **10 representative rows from [Nalandadata/BLINDSPOT](https://huggingface.co/datasets/Nalandadata/BLINDSPOT) — no login required.** |
|
|
| A model is shown an unlabelled scientific diagram and must name every part a leader line points to. This sample shows scored responses from the benchmark's `results.jsonl` file across different models and conditions. |
|
|
| > **Full dataset (6,335 scored responses, 9 models, 4 conditions, 181 items):** [Nalandadata/BLINDSPOT](https://huggingface.co/datasets/Nalandadata/BLINDSPOT) — requires access request. |
|
|
| --- |
|
|
| ## Key finding |
|
|
| The headline result is not the leaderboard — it is the **no-image control**. When the picture is removed and models are only told the subject name, 8 of 9 models keep 70–100% of their score. For `gpt-4o-mini`, the image contributes nothing (+0.2 pts, CI contains zero). |
|
|
| ``` |
| grounded contribution = told − no-image (percentage points) |
| recitation share = no-image ÷ told (%) |
| ``` |
|
|
| ## Columns |
|
|
| | Column | Type | Description | |
| |---|---|---| |
| | `item_id` | string | Public item code (`NALANDA-N`) | |
| | `model` | string | Model identifier, e.g. `google/gemini-3.6-flash` | |
| | `condition` | string | `blind`, `told`, `desc`, or `no-image` | |
| | `f1` | float | Synonym-aware name-set F1 (0–1) | |
| | `precision` | float | Precision component | |
| | `recall` | float | Recall component | |
| | `n_pred` | int | Number of names the model predicted | |
| | `n_key` | int | Number of ground-truth names | |
| | `predicted_names` | list[str] | The model's label list | |
| | `key_names` | list[str] | Ground-truth anatomical names | |
| | `subject` | string | Short factual description of the diagram | |
| | `tier` | string | Item tier (`core` or `extended`) | |
| | `unsolved_core` | bool | True if no baseline model solved this item | |
| | `recitable` | bool | True if ≥1 model scored F1 ≥ 0.5 with no image | |
| | `parse_ok` | bool | Whether the model's output parsed correctly | |
|
|
| ## Why no images? |
|
|
| All 181 benchmark items come from copyrighted textbooks and a proprietary question bank. Only scores and predicted names are released; source figures are not distributable. |
|
|
| --- |
|
|
| For enquiries: [info@nalandadata.ai](mailto:info@nalandadata.ai) · [nalandadata.ai](https://nalandadata.ai) |
|
|
