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README.md
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---
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license:
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dataset_info:
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configs:
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---
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A key question for understanding multimodal performance is analyzing the ability for a model to have basic
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Example for "pairs":
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{"images": ["val\\sheep_banana\\left\\landfill\\0000099_0000001_Places365_val_00031238.jpg"], "prompt": "What objects are in the red and yellow box in this image?", "ground_truth": "['sheep', 'banana']"}
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---
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license: cdla-permissive-2.0
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dataset_info:
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- config_name: object_detection_single
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features:
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- name: id
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dtype: int32
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- name: image
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dtype: image
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- name: prompt
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dtype: string
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- config_name: object_detection_pairs
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features:
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- name: id
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dtype: int32
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- name: image
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dtype: image
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- name: prompt
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dtype: string
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- config_name: object_recognition_single
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features:
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- name: id
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dtype: int32
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- name: image
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dtype: image
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- name: prompt
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dtype: string
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- name: ground_truth
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dtype: string
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- config_name: object_recognition_pairs
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features:
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- name: id
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dtype: int32
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- name: image
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dtype: image
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- name: prompt
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dtype: string
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- name: ground_truth
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dtype: string
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- config_name: spatial_reasoning_lrtb_single
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features:
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- name: id
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dtype: int32
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- name: image
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dtype: image
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- name: prompt
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dtype: string
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- name: ground_truth
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dtype: string
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- config_name: spatial_reasoning_lrtb_pairs
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features:
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- name: id
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dtype: int32
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- name: image
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dtype: image
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- name: prompt
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dtype: string
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- name: ground_truth
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dtype: string
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- config_name: visual_prompting_single
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features:
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- name: id
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dtype: int32
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- name: image
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dtype: image
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- name: prompt
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dtype: string
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- name: ground_truth
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dtype: string
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- config_name: visual_prompting_pairs
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features:
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- name: id
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dtype: int32
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- name: image
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dtype: image
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- name: prompt
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dtype: string
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- name: ground_truth
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dtype: string
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configs:
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- config_name: object_detection_single
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data_files:
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- split: val
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path: object_detection_single/object_detection_val_long_prompt.parquet
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- config_name: object_detection_pairs
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data_files:
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- split: val
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path: object_detection_pairs/object_detection_val_long_prompt.parquet
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- config_name: object_recognition_single
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data_files:
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- split: val
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path: spatial_reasoning_lrtb_single/recognition_val.parquet
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- config_name: object_recognition_pairs
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data_files:
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- split: val
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path: spatial_reasoning_lrtb_pairs/recognition_val.parquet
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- config_name: spatial_reasoning_lrtb_single
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data_files:
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- split: val
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path: spatial_reasoning_lrtb_single/spatial_reasoning_lrtb_single.parquet
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- config_name: spatial_reasoning_lrtb_pairs
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data_files:
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- split: val
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path: spatial_reasoning_lrtb_pairs/spatial_reasoning_lrtb_pairs.parquet
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- config_name: visual_prompting_single
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data_files:
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- split: val
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path: visual_prompting_single/visual_prompting_val.parquet
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- config_name: visual_prompting_pairs
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data_files:
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- split: val
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path: visual_prompting_pairs/visual_prompting_val.parquet
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---
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A key question for understanding multimodal performance is analyzing the ability for a model to have basic
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Example for "pairs":
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{"images": ["val\\sheep_banana\\left\\landfill\\0000099_0000001_Places365_val_00031238.jpg"], "prompt": "What objects are in the red and yellow box in this image?", "ground_truth": "['sheep', 'banana']"}
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