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README.md
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---
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configs:
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- config_name: close_ended
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data_files:
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- split: val
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path: close_ended.json
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- config_name: open_ended
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data_files:
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- split: val
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path: open_ended.json
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license: mit
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task_categories:
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- visual-question-answering
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language:
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- en
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tags:
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- spatial-reasoning
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- object-location
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- direction
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---
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# Object Location 4-Class (Subset 1 of 5)
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A visual question answering dataset for evaluating spatial reasoning — specifically, identifying the location of an object (Up / Down / Left / Right) from the viewer's perspective.
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## Dataset Configurations
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### `close_ended`
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Multiple-choice format with 4 fixed options (A: Up, B: Down, C: Left, D: Right).
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### `open_ended`
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Free-form answer format. The model is expected to respond with one of: Up, Down, Left, Right.
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## Usage
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```python
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from datasets import load_dataset
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# Close-ended (multiple choice)
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ds_close = load_dataset("YOUR_HF_ID/object_location_4class", name="close_ended", split="val")
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# Open-ended (free-form)
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ds_open = load_dataset("YOUR_HF_ID/object_location_4class", name="open_ended", split="val")
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```
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## Data Fields
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### Close-ended
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| Field | Type | Description |
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|-------|------|-------------|
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| `id` | int | Sample index |
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| `image` | string | Image filename (e.g., `rectangle_yellow_123.png`) |
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| `question` | string | Question text |
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| `options` | list[string] | `["Up", "Down", "Left", "Right"]` |
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| `answer` | string | Correct option letter (`A`/`B`/`C`/`D`) |
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| `answer_text` | string | Correct answer in text (`Up`/`Down`/`Left`/`Right`) |
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| `category` | string | Ground truth direction folder (`up`/`down`/`left`/`right`) |
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### Open-ended
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| Field | Type | Description |
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|-------|------|-------------|
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| `id` | int | Sample index |
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| `image` | string | Image filename (e.g., `rectangle_yellow_123.png`) |
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| `question` | string | Question text |
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| `answer` | string | Correct answer (`Up`/`Down`/`Left`/`Right`) |
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| `category` | string | Ground truth direction folder (`up`/`down`/`left`/`right`) |
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## Notes
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- Images are **not** included in this repository. They should be stored locally and loaded via the `category` and `image` fields to reconstruct the full path:
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```
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{DATA_ROOT}/{category}/{image}
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```
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