Datasets:

Modalities:
Image
ArXiv:
Libraries:
Datasets
License:
zhangzicheng commited on
Commit
4edd774
·
verified ·
1 Parent(s): af150e8

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -3
README.md CHANGED
@@ -4,12 +4,11 @@ license: mit
4
 
5
  ## This is the benchmark dataset for ["A Benchmark for Multi-modal Foundation Models on Low-level Vision: from Single Images to Pairs"](https://arxiv.org/abs/2402.07116)
6
 
7
- # The structure of the dataset is as follows:
8
 
9
  1. q-bench2-a1-dev.jsonl (**with** *img_path*, *question*, *answer_candidates*, *correct_answer*)
10
  2. q-bench2-a1-test.jsonl (**with** *img_path*, *question*, *answer_candidates*, **without** *correct_answer*)
11
  3. q-bench2-a2.jsonl (**with** *img_path*, *empty response*)
12
- 4. q-bench-compare.zip (image files)
13
 
14
  # The img_path is organized as *prefix* + *img1* + \_cat\_ + *img2* + *.jpg*
15
 
@@ -24,7 +23,7 @@ def get_img_names(img_path, prefix = "path_to_all_single_images"):
24
  img2_name = os.path.join(prefix,img_paths[1])
25
  return img1_name,img2_name
26
  ```
27
- # The file structure is:
28
 
29
  1. all_single_images: all of the single images used
30
  2. llvisionqa_compare_dev: the concatenated images for the dev subset of the perception-compare task
 
4
 
5
  ## This is the benchmark dataset for ["A Benchmark for Multi-modal Foundation Models on Low-level Vision: from Single Images to Pairs"](https://arxiv.org/abs/2402.07116)
6
 
7
+ # The structure of the jsonl files is as follows:
8
 
9
  1. q-bench2-a1-dev.jsonl (**with** *img_path*, *question*, *answer_candidates*, *correct_answer*)
10
  2. q-bench2-a1-test.jsonl (**with** *img_path*, *question*, *answer_candidates*, **without** *correct_answer*)
11
  3. q-bench2-a2.jsonl (**with** *img_path*, *empty response*)
 
12
 
13
  # The img_path is organized as *prefix* + *img1* + \_cat\_ + *img2* + *.jpg*
14
 
 
23
  img2_name = os.path.join(prefix,img_paths[1])
24
  return img1_name,img2_name
25
  ```
26
+ # The image file structure is:
27
 
28
  1. all_single_images: all of the single images used
29
  2. llvisionqa_compare_dev: the concatenated images for the dev subset of the perception-compare task