FranciscoLozDataScience commited on
Commit
15a6da2
·
1 Parent(s): f1f47d6

changed prompt and choice features settings

Browse files
Files changed (1) hide show
  1. smokedataset_QA.py +8 -6
smokedataset_QA.py CHANGED
@@ -41,8 +41,8 @@ class smokedataset_QA(datasets.GeneratorBasedBuilder):
41
  {
42
  "image": datasets.Image(),
43
  "label": datasets.ClassLabel(names=_NAMES),
44
- "prompt": _PROMPT,
45
- "choices": _CHOICES
46
  }
47
  ),
48
  # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
@@ -71,13 +71,15 @@ class smokedataset_QA(datasets.GeneratorBasedBuilder):
71
  # These kwargs will be passed to _generate_examples
72
  gen_kwargs={
73
  "images": dl_manager.iter_archive(data_dir),
74
- "split": "test"
 
 
75
  },
76
  )
77
  ]
78
 
79
  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
80
- def _generate_examples(self, images, split):
81
  for file_path, file_obj in images:
82
  label = file_path.split("/")[1]
83
  splitfolder = file_path.split("/")[0]
@@ -85,6 +87,6 @@ class smokedataset_QA(datasets.GeneratorBasedBuilder):
85
  yield file_path,{
86
  "image": {"path": file_path, "bytes": file_obj.read()},
87
  "label": label,
88
- "prompt": _PROMPT,
89
- "choices": _CHOICES
90
  }
 
41
  {
42
  "image": datasets.Image(),
43
  "label": datasets.ClassLabel(names=_NAMES),
44
+ "prompt": datasets.prompt(),
45
+ "choices": datasets.choices()
46
  }
47
  ),
48
  # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
 
71
  # These kwargs will be passed to _generate_examples
72
  gen_kwargs={
73
  "images": dl_manager.iter_archive(data_dir),
74
+ "split": "test",
75
+ "prompt": _PROMPT,
76
+ "choices": _CHOICES
77
  },
78
  )
79
  ]
80
 
81
  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
82
+ def _generate_examples(self, images, prompt, choices, split):
83
  for file_path, file_obj in images:
84
  label = file_path.split("/")[1]
85
  splitfolder = file_path.split("/")[0]
 
87
  yield file_path,{
88
  "image": {"path": file_path, "bytes": file_obj.read()},
89
  "label": label,
90
+ "prompt": prompt,
91
+ "choices": choices
92
  }