Upload ImageRewardDB.py with huggingface_hub
Browse files- 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 |
-
"""
|
16 |
|
17 |
|
18 |
import pandas as pd
|
@@ -37,12 +37,10 @@ _CITATION = """\
|
|
37 |
|
38 |
# You can copy an official description
|
39 |
_DESCRIPTION = """\
|
40 |
-
|
41 |
-
|
42 |
-
|
43 |
-
|
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"
|