wuyuchen commited on
Commit
8058b32
1 Parent(s): 786951b

Upload ImageRewardDB.py with huggingface_hub

Browse files
Files changed (1) hide show
  1. ImageRewardDB.py +5 -7
ImageRewardDB.py CHANGED
@@ -12,7 +12,7 @@
12
  # See the License for the specific language governing permissions and
13
  # limitations under the License.
14
 
15
- """TLoading scripts for ImageRewardDB."""
16
 
17
 
18
  import pandas as pd
@@ -37,12 +37,10 @@ _CITATION = """\
37
 
38
  # You can copy an official description
39
  _DESCRIPTION = """\
40
- We systematically identify the challenges for text-to-image human preference annotation, and \
41
- consequently design a pipeline tailored for it, establishing criteria for quantitative assessment and \
42
- annotator training, optimizing labeling experience, and ensuring quality validation. We build this \
43
- text-to-image comparison dataset, ImageRewardDB, for training the ImageReward model based on the pipeline.\
44
- The ImageRewarDB covers both the rating and ranking components, collecting a dataset of 137k expert \
45
- comparisons to date.
46
  """
47
 
48
  _HOMEPAGE = "https://huggingface.co/datasets/wuyuchen/ImageRewardDB"
 
12
  # See the License for the specific language governing permissions and
13
  # limitations under the License.
14
 
15
+ """The Loading scripts for ImageRewardDB."""
16
 
17
 
18
  import pandas as pd
 
37
 
38
  # You can copy an official description
39
  _DESCRIPTION = """\
40
+ ImageRewardDB is a comprehensive text-to-image comparison dataset, focusing on text-to-image human preference. \
41
+ It consists of 137k pairs of expert comparisons, based on text prompts and corresponding model outputs from DiffusionDB. \
42
+ To build the ImageRewadDB, we design a pipeline tailored for it, establishing criteria for quantitative assessment and \
43
+ annotator training, optimizing labeling experience, and ensuring quality validation. \
 
 
44
  """
45
 
46
  _HOMEPAGE = "https://huggingface.co/datasets/wuyuchen/ImageRewardDB"